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All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. UMI 300 North Zeeb Road Ann Arbor, MI 48103 ABSTRACT A S SESSMENT OF ATT I T U D E S TOWARD DIETARY CHANGE OF P AR TIC I P A N T S IN THE MIC HI GAN EXPANDED FOOD AND N U T R I T I O N EDUCATION PROGRAM By Anne Seymour Murphy As se ssment of attitudes toward dietary change has not been conducted in pri or evaluations of the Expanded Food and N utrition E d u c a t i o n Program ( E F N EP) . This research was conducted in the M i c h i g a n EFNEP to determine (1) if attitudes toward d i e t a r y change of participa tin g ho m e ­ makers improved as a result of prog ra m participation, (2) how pretest a tti t u d e scores w ere related to change in food recall scores, (3) if change in attitude and food recall scores of h o m e mak er s were related, change of homemakers was p redicted by: scores of homemakers or instructors, or change scores of homemakers, (4) if attitude pretest attitude food recall pretest instructors' years of experience, locus of control pretest or change scores of homemakers, and be predicted by: homemakers, (5) if die tar y (food recall) change could locus of control changes scores of instructors' years of experience, change or pret es t food recall scores, attitude or pretest attitude scores of homemakers or instructors. A Likert scale was used to assess attitudes toward dietary change and locus of control. A 24-hour food recall was used to m e a s ure self-re por te d d i e ta ry intake. Content and contruct v ali d i t y and reliab il ity of the attitude and locus of control instruments was established. collected from 195 low-income homemakers, Data were 47 program aides and a comparison group of 66 wo men enrolled in the S u p p l e ­ mental Food P r o g ra m for Women, Infants, and Children. Results of A NO VA and t-test analyses indicated that attitudes toward die tar y change of EFNEP participants improved s ignificantly (p <.001) from pre- to po sttesting and that posttest attitude scores were significantly higher (p <.001) than those of the co mpa ri son group. Subjects with high pretest attitude scores did not have significantly grea ter change in food recall scores than homemakers with low pretest attitude scores (p=.126). Change in attitude and food recall scores of homemakers were not correlated. Results of multiple regression analyses indicated that pretest food recall scores accounted for 57.88% of the variance in food recall change of homemakers. variables, Due to co rr elations between the independent two separate reg ression runs were conducted to find predictors of attitude change. Results of the separate r eg ression analyses indicated that va ria nc e in attitude change could be predicted by p retest locus of control (9.83%), change in locus of control pretest attitude scores of homemakers (51.35%), and (40.28%). Copyright by ANNE SEYMOUR MURPHY 1987 To my parents, Seymour and Harriet And my children, Lila and Katiejane v ACKN OW LED GME NT S I would advisor, like to acknow led ge the assistance of my Dr. Jenny Taylor Bond, whose trust in my abilities and respect for me as a person provided the enc ouragement I needed to complete this research and dissertation. director of this research, the planning stages, processing data, As the she provided food for thought in timely suggestions for collecting and a thorough r e v ie w of dissertation drafts, and unending support in all phases of the project. Dr. Bond is a very "human" scholar. I am grateful to her for guidance related to my doctoral studies, but more importantly for her influence and concern in my development as a person. I also app reciate the individual and combined efforts of my other commit tee members, Nierman, Judith Anderson, guidance in planning, project. A special Drs. Sharon Hoerr, Linda and Fred Ignatovich, who provided implementing, and evaluating this thanks to Dr. Linda Nierman, who allowed me to di rect this resear ch p r o jec t with freedom and flexibility. vi The contribution of the Michigan EFNEP extension home economists and p r o gra m aides, and Doris Showerman and the Ingham County WIC Department staff, who assisted in the collection of research data is also appreciated. A special thanks to Win -Jing Chung for his prompt and efficient assistance with data analysis and to Bethany Ledford, Johns, Kim and Janeen Hunt for their role as support staff. I sincerely appreciate the support and suggestions from friends, especially Kendra Anderson, Barb Mutch, Lynch, and John Kallas. Cathy, for providing spiritual guidance at appropriate Pat I also am thankful to my sister, intervals during this undertaking and to my sisters Maria and Carol for providing encouragement. I am grateful for the financial support, provided by the Michigan Expanded Food and Nutrition Education Program, the Michigan State University Department of Food Science and Human Nutrition, the College of Human Ecology, and the George D. Searle and Mead Johnson Scholarships which were awarded through the Ame rican Dietetic Association. I am grateful to my father, to pursue a doctoral degree. provided a continual Seymour, who inspired me His confidence in my abilites source of "silent" support and his lifetime of achievements provided footsteps to follow. I sincerely appreciate my mother's continual assistance wit h my family responsibilites and for providing emotional and financial support, which allowed me to channel my efforts into writing this dissertation. I would also like to acknowledge the support provided by my husband, Luke, whose willi ngn ess to assume the roles of mother and father to our children, me, expedited my efforts Lastly, I would and c heerleader to in completing this dissertation. like to a cknowledge the roles of my daughters, Lila and Katiejane. giving me the time and peace Lila was a good sport about I needed to "do my homework" and Katiejane taught me the meaning of "strength" and how it can be applied to accomplish the "impossible". To these people, and encouragement, and others who provided suggestions I am sincerely grateful for their contributions in assis tin g me in completion of this research and dissertation. viii TABLE OF CONTENTS LIST OF T A B L E S ............................................. xiii LIST OF F I G U R E S .............................................. X V I N T R O D U C T I O N ................................................... 1 Statement of the P r o b l e m ............................... 2 Research O b j e c t i v e s ..................................... 6 Research H y p o t h e s e s ..................................... 7 R E VIE W OF THE L I T E R A T U R E ..................................... 9 As se ssment of Change in Attitudes of EFNEP P a r t i c i p a n t s ............................................. 9 Assessment of Attitude Change of Participants in Nutrition Educat io n P r o g r a m s ......................... 11 The Correlational Re la tionship Between Attitude and Behavior (Dietary C h a n g e ) ........................ 16 Correlational I nconsistency Between Att itude and Behavior (Dietary C h a n g e ) .......................... 17 Correlational C on si ste nc y Between Attitudes and Behavior (Dietary C h a n g e ) .......................... 21 Summary: The Rela ti ons hip B etween Attitudes and B e h a v i o r .............................................. 29 Models of the R e la ti ons hip Between Attitude and B e h a v i o r .................................................31 Model One: Attitudes Predict Behavior (A-B)..... 31 Model Two: Behavi ors Predict Attitude (B-A)..... 44 Locus of Control as a Predictor of Dietary C h a n g e .................................................48 ix Job Exp eri en ce as a Predictor of Dietary C h a n g e . 52 Attitudes of Instructors as a Predictor of Dietary C h a n g e ....................................... 53 Food Recall as a Predictor of Dietary C h a n g e . . . . 54 M E T H O D S ........................................................61 Approval to C o n duc t the S t u d y ........................ 61 Sub j e c t s .................................................62 Research S i t e s ..........................................62 Program D e s c r i p t i o n .................................... 63 Research Design: Hypotheses T e s t i n g ................. 64 Development of the Attitude I n s t r u m e n t ............. 67 Development of the Locus of Control I n s t r u m e n t . ... 72 Development and Justification for Use of the 24-Hour Food Recall I n s t r u m e n t ....................... 73 Training of Data C o l l e c t o r s .......................... 74 Data C o l l e c t i o n ........................................ 75 RESULTS AND D I S C U S S I O N ...................................... 78 Distribution of Scores and R e l i a b i l i t y ............. 78 The Effect of P r e t e s t i n g .............................. 80 The Effect of EFNEP Pa rticipation on Attitudes Toward Dietary Change of Enrolled H o m e m a k e r s ...... 81 Equivalence of Pretest S c o r e s ......................81 Results of Item Analysis of Homemaker Attitude S u r v e y s ..................................... 83 Results of G rou p Data Analyses of Homemaker Attitude S c o r e s ...................................... 84 Change in A ttitudes of Experimental vs. Comparison G r o u p s .................................... 86 x The Effect of Pret es t Attitude Scores on Food Recall Change of EFNEP H o m e m a k e r s 90 The R ela tionship Bet wee n Attitude and Food Recall Change Scores of EFNEP H o m e m a k e r s ........... 91 Correlational A n a l y s i s .............................. 91 The Ability of Independent Variables to Predict Chang e in Att it ude and Foor Recall S c o r e s .......... 94 Regression A n a l y s i s ................................. 94 Results of Data Analysis Related to A t t r i t i o n . ... 100 S ummary of R e s u l t s ....................................102 STRENGTHS AND L I MIT AT ION S OF THE S T U D Y .................. 104 Vali d i t y and R el ia bil ity of the M easurement I n s t r u m e n t ............................................. 104 Threats to Internal V a l i d i t y ......................105 Threats to External V a l i d i t y ......................109 Weaknesses of the Likert S c a l e ......................112 Rationale for Use of the Likert S c a l e ............. 114 R E C O M M E N D A T I O N S ............................................. 116 Implementation of Nut r i t i o n Educat io n P r o g r a m s ......... 116 Instructor T r a i n i n g .........................................118 Ass ess me nt of Attitudes: Future Research I n v e s t i g a t i o n s .............................................. 118 Use of Multiple Factors To Predict Dietary Change: Future Research I n v e s t i g a t i o n s ........................... 120 APPPEND IC ES APPENDIX A: A s s e ss men t of the R el ationship between Attitude and Behavior (A Summary of the Li te rature C i t e d ) .............................123 APPENDIX B: Approval to Conduct the R e s e a r c h ........... 127 Con sen t Form: Program P a r t i c i p a n t s ...... 128 Cons en t Form: Program I n s t r u c t o r s ........129 xi APPENDIX C: Demographic I n f o r m a t i o n . .................... 130 APPENDIX D: Program D e s c r i p t i o n .......................... 132 Data Col lec ti on Procedures (An Inservice H a n d o u t ) ......................... 134 Effective Aide Techniques (Newletter Article, September 1 9 8 6 ) .................. 135 APPENDIX E: Pr eliminary Research Interview Script and R e s u l t s ....................................136 APPENDIX F: Test Items for R e v i e w ........................ 141 APPENDIX G: Specifications for Development of the Likert S c a l e .................................. 146 APPENDIX H: Attitude Qu estionnaire Revi ew F o r m .........147 APPENDIX I: EFNEP Survey (First P i l o t ) .................. 148 APPENDIX J: Pilot Test Instructions for Program A i d e s . 156 APPENDIX K: R ev iew Form: Program A i d e s .................. 158 APPENDIX L: EFNEP Survey (Second Pilot-Two F o r m s ) 159 APPENDIX M: Pilot Test Discrimination and Difficulty I n d i c e s ........................................ 165 APPENDIX N: EFNEP Survey (Final I n s t r u m e n t ) ............ 167 APPENDIX O: Locus of Control I n s t r u m e n t s ................169 APPENDIX P: 24-Hour Dietary Food Recall I n s t r u m e n t .... 174 Scoring Table for 24-Hour D i e t ............. 175 APPENDIX Q: Pretest Item Analysis Results: Homemaker Attitude S u r v e y ............................... 176 Posttest Item Analysis Results: Homemaker Attitude S u r v e y ............................... 177 Posttest Item Analysis for H o m e m a k e r s 178 Pretest Item Analysis Results: Aide Attitude S u r v e y ............................... 180 Item Analysis Results: Aide Posttest S u r v e y ......................................... 181 Posttest Item Analysis for Program A i d e s . . 182 LIST OF REFERENCES 184 LIST OF TABLES 1. Pilot test means and ranges of attitude scores for upper and lower scoring g r o u p s ........................ 70 2. Results of the second pilot test of the attitude i n s t r u m e n t ................................................71 3. Distribution of attitude, locus of control, and food recall s c o r e s ...................................... 79 4. Posttest scores of p retested and non-pretested g r o u p s .................................................... 80 5. Results of t-tests to deter min e the effect of p r e t e s t i n g ................................................81 6. Comparison of p r e tes t attitude means of the experimental and co mparison g r o u p s .....................82 7. Initial equality of comparison vs. experimental group pretest at titude s c o r e s ......................... 82 8. Homemaker mean item scores for the pre- and posttest attitude s u r v e y ............................... 83 9. Attitude pre- and posttest results of the experimental g r o u p ...................................... 84 10. Differences in pre- and po sttest scores for the experimental g r o u p ...................................... 85 11. Attitude pre- and po sttest results of the co mpa ris on group (n=36) ............................................. 86 12. Differences in pre- and po sttest attitude scores of the c o m par is on g r o u p ........................ 87 xiii 13. Comparison vs. experimental group attitude posttest means (effect of program p a r t i c i p a t i o n ) ... 87 14. Two-way ANOVA of attitude postte st scores to test for the effects of EFNEP and p r e t e s t i n g ............. 88 15. A comparison of change in food recall scores for groups with high vs. low pretest attitude s c o r e s . . . 90 16. T-test analysis of food recall change in homemakers with high vs. low pretest attitude s c o r e s ........... 91 17. Correlations b e t we en h omemaker attitude, locus of control, and food recall s c o r e s ....................... 93 18. Results of the first regression analysis run to predict variance in food recall c h a n g e ...............96 19. Results of the first regression analysis run to predict variance in attitude c h a n g e .................. 97 20. Results of the second regression analysis run to predict v ariance in attitude c h a n g e .................. 9 8 21. A comparison of pr ete st means for subjects that did, and did not, take the p o s t t e s t ................. 100 xiv LIST OP FIGURES 1. Models related to the d i e t a r y change sequence (Sims, 1 9 7 8 ) ............................................ 31 2. The rel ati on shi p between nutritional attitudes, knowledge, and practices (Sims> 1 9 7 8 ) ...............32 3. The information pro cessing model Sims, 1980) (Olson and 34 4. Four possible models of the i nte rrelationship between nutritional knowledge, attitudes, and practices (Schwartz, 1 9 7 5 ) ........................... 35 5. The McGuire pe rs uasion matrix 6. Theory of reasoned action (Azjen and Fishbein, 1 9 8 0 ) .................................................... 39 7. A food-choice behavior model adapted from the theory of reasoned action (Dalton et al., 1986)...40 8. Model of the atti tu de- to- be hav io r process proposed by Fazio (1986)........................................ 42 9. Two-way ANOVA: (Flay et al., 1980).37 Solomen four group d e s i g n ............65 10. Regression analysis model to assess the ability of independent v ariables to predict food recall c h a n g e ................................................... 95 11. R egression analysis model to assess the ability of independent variables to p redict attitude c h a n g e . . 97 xv C H A P TE R 1 INTRODUCTION The Expanded Food and Nutr it ion E ducation Program (EFNEP) is a federally funded program whic h provides basic nutrition education to low-income families, those with young children. EFNEP was initiated in 1968 by the United States D epa rtment of Ag riculture promote positive changes attitude, skills, families. especially (USDA) to in nutritio n-r el ate d knowledge, and behaviors of limited income The prog ram is implemented under the d irection of the Cooperative E x t ens io n Service in fifty states, District of Columbia, American Samoa, Guam, the Puerto Rico, Micronesia, and the Virgi n Islands. In EFNEP, para pr ofe ssi on als who are often indigenous to the community in w h i c h they work, are employed as instructors (program aides) to deliver the educational program to low-income homemakers with young children. Although some teaching takes place in groups or by selfinstruction, the primary delive ry method is individual instruction by the p r o gr am aide in the client's home. Aides are trained in areas of basic foods and nutrition such as food selection and preparation, meal planning, food food safety, food sources of nutrients, 1 preservation, gardening, weight control, maternal/infant nutrition. and Since the initiation of this study, Michigan EFNEP program aides have also received training in methods for promoting positive changes in 1 homemakers' attitudes toward d ietary change . Statement of the P roblem To provide accoun tab ili ty data, program evaluation should be conducted to determine whether EFNEP program 2 objectives (improved knowledge, skills, attitudes , and 3 behaviors ) are achieved. Cooperative Extension Service (1981) published "Program Evaluation in Extension: A Comprehensive Study of Methods, Procedures." Recommendations Practices, and listed in the report include: 1. development of a system for acc ou ntability and evaluation to provide greater specificity and clarity about national ac cou ntability needs. 1 "Attitudes toward dieta ry change" is defined in this dissertation to mean evaluative responses in regard to making changes in food consumption practices. 2 "Attitudes" are defined as an evaluative position with regard to a fact or issue based on an individual's beliefs 3 The term "behavior" is commonly used in the literature cited in this di ss ertation to refer to self-reports of foods consumed. When authors use "behavior" in this manner, it will be followed by "(food recall)" for the purpose of clarification. Whe n "behavior" is not followed by "(food recall)" it is used in the more general sense to mean manner of acting. 2 2. implementation of a more systematic approach to evaluation at all org anizational 3. levels. establishment of greater clari ty r egarding the needs and purposes of evaluation among different. program areas and o rganizational 4. levels. assessment of the ava ilability and method of organization of e v a l ua ti on resources. 5. provide staff d e v e l o p m e n t in the area of program evaluation. Additionally, a r e c o m m en dat ion from the General Ac c o un tin g Office included in the Report to the Secretary of Ag riculture (1980, p . 8) stated "We recommend that Coopera ti ve Extension S e r v i c e ... deve lop (1) objective and measurable standards for judging pr ogr am effectiveness and (2) the evaluation and feedback tools needed to measure program performance agai nst such standards." Comprehensive p r o g r a m evaluative efforts are needed to determine if the objectives of the EFNEP program are being met. It is the goal of the Expanded Food and N u t r i t i o n Education P r o g r a m to assist low-income families to "acquire the knowledge, skills, attitudes, and changed behavi or s necessary for nu tr iti ona ll y sound diets" (USDA, 1976, p . 6). As in most nutrition ed ucation programs, m e asu rem en t has been conducted to evaluate change in knowledge and dietary change instrument) (using the food recall of EFNEP homemakers (e.g., Marke tin g Economics Re sea rch Service, 3 Hutsey, 1970; 1972; Napier and Wharton, 1974; Kerr et al., 1983; Wagne r et al., 1983). 1979; N i e rm an et al., A lthough EFNEP names positive attitude change as a component of the p r o g ram objective, only a few studies (e.g., Baird and S c h u t z , 1976; Kaplowitz and Olson, 1983; Block et al., 1984) have been conducted to assess attitudes of homemakers and/or aides. Attitudes toward dietary change of EFNEP participants or instructors have not been evaluated prior to this study. Nu trition education programs need to provide data which indicate whe th er positive changes in attitudes toward dietary change have occurred in addition to conducting assessment of knowledge and behavior recall) (McKenna, 1983). (food Results related to attitude change can be used in formative e val uation to assess the need for instructor training and in summative evaluation to determine the effect of program participation on attitude change. In additi on to assessment of attitude change due to p r o gr am participation, it is desirable to examine the relationship between attitudes and dietary change. Carruth et a l . (1977) proposed that if the relationship between attitudes and dietary (food recall) change is important in terms of m odifying future dietary intake, the results of attitude ass essment might be useful to predict the potential amount of dietary change that can be anticipated by p r o gra m participation. They suggested that more definitive research is needed to determine how attitudes are modified by nutrition education programs and 4 to wha t extent attitude change is related to d i e tar y change. N u t rit io n educators have often assumed that if positive change in knowledge occurs, positive change in attitude and behavior (food recall) a ut om a t i c a l l y follows. A primary reason for measu rem en t of attitudes in the past has b ee n because of an assumed self-reported diet ary change. link between attitudes and It cannot, however, be assumed that these v ariables are po sit iv ely correlated. The consistency between attitude and b ehaviors has been challenged by several investigators 1934; Kutner et al., (e.g., LaPiere, 1952; Hard ing et al., 1954). Research has b e e n conducted to determine if a significant correlation between nutri ti on- rel at ed attitudes and dietary intake recall (primarily assessed using the 24-hour food instrument) exixts. 1976; Sims, 1978; Schafer, 1982; Perron and Endres, (e.g., Picardi and Porter, 1978; 1985). Dae lhousen and Guthrie, Pre- and po stt es t attitude and food recall scores have been assessed, correlations computed and reported, followed by conclusions regarding the strength of the relationship. Some researchers housen and Guthrie, (Picardi and Porter, 1982; 1976; Perron and Endres, Da e l ­ 1985) have indicated that there is an inconsistency b e t wee n these two variables. Schafer, Other investigators 1978; Kok et al., (e.g. Schwartz, 1982) 1976; have reported positive correlations between attitude and food recall scores. If mod erating factors had been included as independent variables in these studies rather than computing only correlations, data might have been g enerated to provide specific information to determine if attitude scores predict dietary change food recall (food recall) scores predict attitude change. or if Results of correlational and regression analyses which is based on inclusion of multiple variables provides more information about the rel ationship between attitudes and dietary intake (food recalls) than the single correlational analyses used in the reports cited. information (1) Based on the need for to determ in e if there is a change in attitudes of EFNEP participants, (2) to determine if there is a correla tio n between attitude and behavior change, (3) and to assess the pr edictive potential of several independent variables on attitude change and/or food recall change, the f ollowing research objectives and hypotheses were proposed. Research Objectives The objectives of this study were: 1. To d etermine if attitudes toward dietary change of EFNEP homemakers (a) change from p r o gra m enrollment to prog ra m com pletion (b) have si gnificantly greater change compared to a co mp ari son group and (c) result in more/less change depending on pretest attitude scores 6 (low vs high); 2. To determine if change in attitude and food recall scores of homemakers enrolled in EFNEP are correlated; 3a. To determine if instructors' years of instructor experience, or pretest attitude scores, scores, homemaker attitude change change in locus of control or pretest food reecall predict change in food recall 3b. pretest attitude scores, scores of homemakers scores of homemakers; To determine if instructors' pretest attitude scores, instructor years of experience, pretest or change in homemakers' food recall pretest or change in homemakers' locus of control scores, scores, or homemakers' pretest attitude scores predict change in attitude scores of homemakers. Research Hypotheses la. There is no di ff erence between pre- and posttest attitude scores of EFNEP participants; lb. There is no difference between attitude change scores of the comparison and experimental groups; lc. There is no difference between the amount of food recall change of groups of homemakers with high vs low pretest attitude scores; 2. Attitude change is not positively correlated with food recall change of EFNEP homemakers; 7 3a. Food recall change is not predicted by: change in locus of control scores of homemakers, instructors' of job experience, pre te st instructors' years attitude scores, food recall pretest scores of h o m e m a k e r s ,or pretest or change in attitude scores of homemakers; 3b. Attitude change is not predicted by: h omemaker pretest or food recall change scores, pretest or change in locus of control scores of homemakers, experience, instructors' homemaker pretest attitude scores, attitude scores of instructors. 8 years of job or pret est CHAP TE R 2 R EV IEW OF THE LITERATURE This chapter provides a review of the existing literature related to the hypotheses being tested. The first section reviews research reports regarding assessment of attitude change in EFNEP and other nutrition e ducation programs. The second section includes a review of the literature in which correlations between attitude and d ietary intake (food recall) are reported. The third section is a revi ew of models which have been proposed for purposes of predicting attitude or behavior (dietary) change. Assessment of Change in Attitudes of EFNEP Participants Although results related to assessment of "attitudes toward d ietary change" of EFNEP participants have not been reported, some research has been conducted to assess changes in general attitudes of EFNEP participants and S c h u t z , 1976; Kaplowitz and Olson, (Baird 1983; Block et a l ., 1984). Block et al. (1984) included twelve attitude statements as a c omp one nt of an instrument used to assess long-term effects of prog ra m participation in the California EFNEP on knowledge, change of homemakers. attitudes, and food recall A si gn ifi ca nt positive change was reported in food recall scores with the gr ea tes t improvement in consumption of milk/milk products (a 15.6% increase in number of persons consuming two or more servings) and fr ui t/vegetable consumption (21% increase in persons reporting c o nsu mp tio n of four or more s e r v i n g s ) . Improvements were reported in cooking skills (65% i m p r o v e m e n t ) , k n ow led ge attitudes (9% increase) (47% i m p r o v e m e n t ) , and fro m pre- to posttesting. of this study indicate that participants Results showed great improvements in knowledge and food recall, but that only slight increases in attitude scores occurred. Kaplowitz and Olson (1983) attitudes toward breastfeeding, evaluated knowledge and and incidence and du ration of breastfeeding of women enroll ed in EFNEP. They found that knowledge scores increased for women wh o were predisposed to bottlefeed method of infant feeding (p<.05) (p<.001) or undecided regarding but not for subjects who had decided to breastfeed at the time of the pretest. The program did not re sult in improvements of attitudes toward breastfeeding, an increase in the number of women who actually breastfed, or the duratio n of br eastfeeding (compared to a control g r o u p ) . The authors attributed these results to the small personal educational Baird and Schutz sample size and use of a n o n ­ approach (1976) (mailing p a m p h l e t s ) . assessed the relationship 10 between attitudes rega rd ing food use and d i e t ar y intake of foods as measured by 24-hour food recall homemakers part ic ipa tin g in EFNEP. scores of The respondents indicated their a ttitudes related to use of 20 foods given situations or d escriptors such as "a family favorite" or "easy to make." A si gnificant relationship was found between attitudes regarding uses of foods and the use of foods as indicated by self-reports of food consu mp tio n (food recalls) (p<.05). Fifty-one percent of the variation in food recalls was accoun te d for by attitude scores. Problems reported by respondents as interfering with making dietary changes included: trouble with food preparation, dige sti on difficulties, lack of knowledge about nutrition, and diet ary monotony. The authors suggested that a ssessing food-related attitudes can be useful to predict food recall scores. However, it is apparent from the r e s p o n d e n t s ' remarks that food choices are affected by several factors in addition to attitudes regarding use of foods. Assessment of Attitude Change of Participants in Nutrition Education Programs A factor cited by Sunseri et al. (1984) whi ch affects behavior change is the readiness to change of program participants. learned, They claimed that when new information is formation of positive attitudes and dietary improvements do not a u t o mat ic all y follow because of resistance and/or lack of motivation to change existing 11 habits. They investigated changes between pretest, posttest, and follow-up test scores of sixth-grade students participating in a c ard iovascular risk reduction program. Results indicated that although knowledge scores increased, attitude (toward h e a r t -h eal th y eating practices) scores decreased s ignificantly between posttest and follow-up testing (pC.Ol). Di eta ry scores decreased from pre- to posttests follow-up testing (p<.001) and from posttesting to (p<.05). The authors stated that knowledge functions as a tool only if and when people are ready to make changes. alter food intake, If a health education program is to it should provide opportunities for the participants to experience the desired behavior. authors also indicated that family involvement, the program, The length of and reading level might have affected results. Byrd-Bredbenner et al. (1984) assessed the affect of p a rticipation in a health education progr am on n utrition knowledge, new foods", attitudes ("caring about nutrition", "nutrition affects health", about nutrition"), and dietary change food frequency i n s t r u m e n t ) . significantly increased. senior high students, "eating and "learning (as measured by a Knowledge scores Attitude scores increased for but not for subjects in junior high school. Neither k nowledge nor attitude scores were significant predictors of food frequency change. The authors attributed the differences in attitude score 12 change between the two groups of students to di fferences in maturity and ex posure to n u tr iti on information. The authors, however, did not specify age levels of junior vs senior high students or consider the overlap in maturity level b e t w e e n the two groups. Food frequency scores did not increase for students at either junior or senior high level. The y suggested that the lack of significant change in food frequency scores from pre- to po sttesting might have been due to instrumentation of sensitivity in the food frequency tool used) (lack and to lack of control over food choices in this age group. Shortness of the p r o gr am (six to ten weeks) was also named as a primary factor co ntr i b u t i n g to lack of changes in attitudes and food frequency scores of students. Ries and Schoon (1986) eval uat ed the ef fectiveness of a caf ete ri a-b ase d nutr it ion educa tio n prog ra m to improve the knowledge and attitudes of c ollege students. Knowledge regarding the r el ati o n s h i p between nutr it ion and health and attitudes toward nutrition and health were assessed. Knowledge scores increased signifi can tl y from pre- to po sttesting (p<.001), but no significant change in attitudes of the students occurred. The authors attributed the lack of improvement in attitudes to shortness of program (eight w e e k s ) , effect of pretesting, pretest scores in the control (81.25%) groups. (84%) and high and experimental That changes in attitude and dietary scores might be influenced by hig h pretest scores was also 13 indicated by results reported by Daelhousen and Guthrie (1982). The goal of an affectiv e-b as ed educational program implemented by Brush et al. (19 86) was to increase the flexibility of attitudes of participants. Flexibility vs rigidity of attitudes was assessed using a six-point Likert scale. Participants used the nominal group technique to develop and rank objectives for the educational program according to priority. The program was based on learner needs as de te rmi ned from the nominal group procedure. The progr am included self-awareness and value clarification techniques. Nutrition knowledge increased in experimental and control groups; dietary intake, improved in as measured by a 24-hour food recall, the experimental group only. F lexibility of nutrition attitudes did not improve in either group. The authors attributed the lack of significant improvement in attitudes to high prete st scores and the length of the program. In a study by Ross (1984), k nowledge of nutrition principles and attitudes of nursing students were assessed before and after par tic ipa ti on in a nutrition education program. (p<.001). Knowledge scores significantly increased The author reported that there were no significant changes in scores on thirteen of fifteen attitude statements (p.<05). Constructs represented were: "role of the nurse in nutrition education", 14 "the role of dietitians in the hospital"/ nursing", "nutrition e ducation in and "general nutrition." The reason given for the lack of positive improvement in attitudes of the nursing students in this study was r egr ession toward the mean on po sttest scores (high pretest s c o r e s ) . Attitude change might be affected by characteristics of the educational message. Looker and Shannon (1984) investigated the effect of threat vs benefit appeal of an educational message re garding n utrition and health. Two types of pamphlets wer e provided, one wh ich emphasized the benefits of dietary change and the other wh i c h focused on the negative co nse quences of not complying wi t h dietary recommendations. Investigators assessed knowledge about nutrient density, attitudes regarding learning about nutrition and use of nutrie nt dense foods, and food choice behavior regarding selection of nutrient dense foods. The authors indicated that the purpose of their research was to identify strategies that posi ti vel y influence n u trition-related attitudes and behaviors, knowledge. as well as They found that there was no significant difference in attitude scores related to the type of message p resented (threat vs b e n e f i t ) , but the group that received n utrition educa ti on showed greater increases in knowledge scores than the control group. No improvements in food choice b ehavior of either group were reported. The authors c oncluded that the threat message may have been too mild so that there was not enough difference in the materials to result in significant di fferences in attitude scores. The authors also indicated that a high attrition level and high pretest scores affected posttest scores. Research was cond uct ed by Rosander and Sims (1981) to determine if food/ nut ri tio n knowledge regarding food's affect on health, attitude related to control over eating habits, and behavior (food frequency) of low-income women increased after pro gr am participation. They developed an affective-based nutri tio n intervention to be used in the Special Supplemental Children (WIC). Food Program for Women, Infants, and The intervention consisted of a series of three lessons, d elivered one month apart. The instrument developed to measure the affective domain was a five-point Likert scale repres en tin g two constructs: "personal control over eating habits" and "foods effect in health and feelings." The respondents had significantly higher posttest scores on both attitude scales. scores, as measured by a food frequency, The dietary showed statistically significant improvement for the instructed group. Authors concluded that affective -b ase d nutrition education is successful in improving knowledge, attitudes, and food frequency scores of low-income women. The Correlational R e l ati ons hi p Between Attitude and Behavior (Dietary Change) Numerous studies have been conducted in which attitude and behavior were assessed for the purpose of 16 de termining if these two variables were significantly correlated (Appendix A). Conflicting results have been reported and are summarized in the following review which relates to the second research hypothesis. Correlational Inconsistency Between Attitude and Behavior (Dietary Change) Even though many investigators Doob, 1947; Green, 1954; Campbell, (e.g. Allport, 1963) as including a behavioral component, 1935; defined attitudes a wea k relationship between attitude and behavior has been reported by LaPiere (1934), and Guthrie Picardi and Porter (1976), Daelhousen (1982), and Perron and Endres A study by LaPiere (1934) (1985). was conducted to investigate the level of c onsistency between attitude and behavior. In this study the incidence of acceptance or rejection on the part of proprietors at several inns to provide lodging to a C hinese couple was assessed. were refused accommodations at only one place. They A follow- up q uestionnaire was sent to the places at which the couple had sought lodging. Most proprietors (71.8%) indicated on the question na ire that they would refuse lodging to Chinese people; indicating a d iscrepency between self-reported attitudes to Chinese people) (toward providing lodging and actual behavior. LaPiere (1934) concluded that there was unr el iab ili ty of the attitude responses to predict d i scr imi na tor y behavior. however, had several weaknesses. 17 The attitude This study, questio nn air e was sent months after the traveling situation occurred increasing temporal instability of the measurement. Because the attitude q ues ti onn ai re was used after behavior wase observed, this study a ctually assessed ability of behavior to predict attitude. There was no indication that the perso n who accep te d/r eje ct ed the travelers was the same person w ho filled out the que sti on nai re or that the employee was able to identify the natio na lit y of the couple. Alt hough limitations of the study seriously w e a k e n LaPiere's claim that there is inconsistency b e t we en attitudes and behavior, this study is fre quently cited as landmark research related to the rela tionship between these two variables. In contrast to LaPiere's et al. (1954) (1934) conclusions, Harding stated that the literature has confused correlational inc onsistency with situational threshold differences and has thus exaggerated the inconsistency between attitude and behavior. These authors claim that attitude has a lower threshold than behavior; i.e., it is easier to agree with a tt itude statements than to perform the parallel behavior. In L a P i e r e 's study (1934), it was easier for ques ti onn air e respondents to state that they would refuse to give the couple lodging than to actually turn them away in person. (1956) According to Harding et al. there would only be inconsis te ncy if a behavior were performed the attitude (couple turned away) that conflicted with (accept Chinese people as g u e s t s ) . The 18 authors concluded that threshold differences accounted for inconsistencies reported in the literature between attitudes and behavior. Kutner et al. (1952) conducted a study to examine how threshold differences affect the co nsistency between attitude and behavior. In this study, two white women were seated in a re st aurant and were then joined by a black women. incident. In all cases, they were served without. Then a requ es t for a group reservation was sent to each establishment. It was explained that the party would include black and w hit e persons. received. No replies were When the investigator placed follow-up phone calls to the restaurants, eight of eleven managers told him no request had been received. Most refused to accomadate a party that was racially mixed. study, the behavior (serving the women) which conflicted with the attitude In this was performed (refusal to serve a mixed party of black and white p e r s o n s ) . support those of L a P i e r e 's research; These results attitudes of restaurant personnel regarding serving blacks were negative but the co nflicting behavior (serving blacks) was performed. Several factors have been indicated to explain the lack of a positive correl ati on between attitude and behavior. These are summarized in the following review. Length of prog ram p ar ticipation was named as a factor that affected the consi ste ncy between attitude and dietary 19 change in a study by Picardi and Porter (1976). conducted an ass essment of nutrition knowledge, They attitude (health c o n c e r n s ) , and food choice behavior of high school students p articipating in a fo od/ nutrition minicourse. These researchers found no significant correl ati on between knowledge, attitude, or food choice behavior. There was a significant improvement in knowledge, but not attitude or food selection scores. The authors attributed the results to the shortness of progr am participa tio n (30 h o u r s ) . In an evaluation of a self-instructional nutrition education program for pregnant women, D ael housen and Guthrie (1982) used a five-point Likert scale to determine changes in attitudes regarding importance of nutrition during pregnancy. Dietary change was assessed using a 3- day food record and 24-hour food recall. The self- instructional prog ram c onsisted of a 16-minute vide o which included information r egarding nutritional needs and selection of an adequate diet to meet nutrient needs during pregnancy. The video included information designed to e ncourage positive attitudes toward nutr it ion during pregnancy. The reported c orrelation between attitude and dietary scores was not significant (r=.08). The authors attributed the lack of a significant c or rel ati on to extremely high pretest scores for both control experimental (9 0.8%) (89.6%) groups which limited the amount of positive change possible. Existing attitudes and lack of control over food 20 and choices were named as variables that influenced dietary scores in a study by Perron and Endres (1985). These authors investigated the rel ationship between nutritional knowledge, attitudes toward "general nutrition" and "nutrition for the athlete", and food intake of adolescent female athletes. Food intake was measured using a 24-hour food recall and a 48-hour food record. The attitude instrument was a 5-point Likert scale. Knowledge and attitude were sig nificantly c or related (r=.52). No significant, co rrelation was found between attitude and dietary scores. population The authors concluded that in this (female a t h l e t e s ) , food intake may be shaped by a strong desire to be thin, information. rather than by nutrition They felt that the adolescents' control over foods served, in addition to the existing attitude of concern for weight, correlational lack of accounted for the inconsistency between attitudes and dietary scores. Correlational Consi ste ncy Between A tt itude and Behavior (Dietary Change) Several researchers (Schwartz, 1977; Fazio and Zanna 1978; 1982) Schafer, 1976; 1978; Regan and Fazio, Kok et al., have reported positive correlations between nu tr ition-related attitudes and self-reports of food intake. The strength of the co rrelation was attributed to various factors wh ich are presented in the following review. 21 Schafer (1978) self concept, assessed personal beliefs) factors and social factors friends and family members, and educational programs) (attitudes, (influence of advertisements, TV programs, that influenced diet ar y adequacy and "empty calories" of self-reported food intake food recall). (24-hour The most influential factor related to food consumption for men and women were personal food preferences. for women, Factors which influenced food preferences in order of importance, were: cost, health, convenience, habit, nutrition, taste, and w e igh t control. Men's food choices were influenced by the following: taste, nutrition, cost, health, appearance, convenience, and habit. The author considered women's ranking of "nutrition" as the primary factor in d ete rm ini ng food preferences to be co nsistent with their traditional role in selecting and p roviding nutritious foods for the family. Children's food preferences influenced the food choices of women more strongly than men. Health of family members was ranked as a more important factor than self health by men and women. Educational programs (consumer education and Exte ns ion Service) but greater had a small, effect than the influence of media, women. Schafer (1978) between attitudinal on foods selected by conducted correlational analyses factors and dietary adequacy. Results indicated that "personal preferences" and d i e tar y adequacy were positively correlated for women not for men (r=-.03). (r=.23, p<.01) When cost was reported as a 22 but significant factor of food choices, were consumed (r=.17, p<.05) more empty calories and diets were less adequate (r=-.19,p < .05). There was a po si tiv e correl at ion between health as a factor and quali ty of diet for men p < .05) and women (r=.19, p<.05). (r=.16, The more men perceived women to influence their diets, the fewer empty calories they consumed (r=.32), and the higher the quality of their diets (r=.18, p<.05). p<.001) Pa rti ci pat ion in educational programs was invers el y related to empty calories consumed (r-.19, p<.05) with diet ar y ade quacy and po sitively correlated (r=.27, p<.01) for women. "Information" was posi ti vel y c o r r e lat ed with dietary quality for men (r=.18, p<.05) and w o m e n (r=.21, p<.01). The author concluded that wh e n w o m e n influenced their own or their husband's food choices, high; di et ary a dequacy was the more c o n cer ne d men and women were about the health of family members, the bett er the quality of the diet; when cost was co nsi de red an important factor, quality of the die t was were consumed. low and more empty calories P a r t ici pa tio n in nutri ti on education was po s iti ve ly related to dietary a de qua cy for women, but not for men. The research by Schafer (19 78) investigated the affect of several factors on d i e ta ry intake. This type of research where the r e la tio ns hip between multiple attitudinal more helpful factors and dietary scores is investigated is in u n d e r s ta ndi ng the process of dietary 23 change than research that assesses and correlates only attitude (usually towards the importance of nutrition) and food recall scores. A study was condu ct ed by Kok et al. knowledge about c a rd io vas cul ar disease (1982) to assess (CVD), attitudes toward CVD, and die tar y intake of subjects in the Netherlands. Attitudes were assessed using a five-point Likert scale. The reported corre lat ion between attitude and food intake (measured by 24-hour food recall) (p<.001), betwe en knowl edg e and attitude was and .12 (p<.001) .19 was .20 (pC.OOl), betw ee n know le dge and food recall scores. There was a stronger corre lat io n between attitudes and food intake for those wh o had hig h food recall pretest scores than for those that had food intake measure. low prete st scores on the The authors suggested that multiple factors affect food recall change such as: significant others, influence of dif fic ult y in chang ing food habits (30% of respondents said that it would be difficult to change food h a b i t s ) , and insufficient knowledge (23% indicated that they did not have sufficient k nowledge to determine "what kind of diet was healthy"). "Taste" emerged as a p r i mar y reason for food choices. suggested that attitudes, The authors and factors that influence attitudes and food selection, should be addressed in planning and i mp lementing educational programs. The manner of attitude formation experience) (direct or indirect is important in the attitude- be hav io r 24 relationship. Fazio and Zanna (1978) on the basis of their research stated that there is increased c onsistency between attitude and beh avior if the individual has formed attitudes on the basis of direct, experience. rather than indirect, A group of students was asked questions to assess their attitude and behavior regarding participation as subjects in experimental research. They were classified according to past experience as subjects (minimal, intermediate, high). The correl ati on between attitude and behavior was calculated. hig h level of previous par tic ip ati on The group that had a (direct experience) had a high degree of consistency between attitude and be havior (r=.42). The group with an intermediate level of experience also had a significant positive correlation between attitude toward particip ati on in research and actual participation (r=.36). Attitude and behavior in the group with minimal previous experience were not significantly correlated (r=-.03). The authors concluded that the direct ex pe rience of being research subjects strengthened the correla ti on between attitude and behavior because the experience focused the subjects' thinking which increased the acc es sib ili ty of the information from memory. A study by Regan and Fazio (1977) compared behavior (signing of petitions regarding changing housing regulations) of college freshmen who were refused housing due to a shortage of dorm ito ry rooms w ith behavior of 25 freshmen who were pr ovided wi t h dorm ito ry rooms. The students who were required to use temporary housing were considered to be the gr ou p that used direct experience in forming attitudes regarding un ive rs ity h ousing problems. Those that were pr ovided w i t h perman ent housing were considered to have formed attitudes regarding problems with housing from indirect ex periences discussions with o t h e r s ) . both groups were similar, (campus paper, Al though the attitude scores in a t t itu de -be hav io r c onsistency was much greater in the direct experience group. These authors concluded that although individuals may hold similar attitudes, the strength of the attit ude -b eha vio r consistency depends on whether dire ct experience was used in formation of these attitudes. Bern (1970) promoted a theory that individuals have difficulty drawing associations bet we en the attitude object and evaluation categories unless they have been involved in some b ehavior (experience) toward the object. He claimed that previous exp erience strengthens the evaluative component of the attitude, increasing the likelihood of accessing the attitude to guide the individual in eval ua tio n of the a tt itu de object. Most nutrition education programs do not include direct experience educational (active participation) intervention. as part of the It is po ssible that greater positive change in attitudes would occur if client p a rticipation (direct experience) w er e included in nutrition education programs such as in EFNEP. Schwartz (1976) evaluated changes in attitudes after partic ip ati on in nutrition e ducation that included the affective domain. She assessed the relationship between nutritional knowledge, (eating habits, nutritional counseling, food preparation) health nurses. attitudes toward nutrition meal planning, and counseling practices of public The instructional prog ra m included encouragement to identify and explore feelings about food/nutrition. The attitude asse ss men t was based on program objectives r e pre se nti ng the affective domain. This intervention dif fered from many others in that the affective domain was included as part of the educational program. Respondents indicated w h e t he r they agreed or disagreed w it h opin ion statements and the degree of certainty of their responses. Practices were assessed by indicating the frequency the behavior occured frequently, sometimes, n e v e r ) . Factors that were significantly c orr elated were age ("over forty") (always, (p<.05) w i t h positive attitudes and "cooks for family and friends." Factors p osi tively co rrelated with positive counseling behaviors wer e age health agency publications", economist", ("over forty"), "use of "consultation with a home and "cooks for family and friends." Significant positive correlations were found between know le dge-attitude and attitud e- pra cti ce s (beha vio rs ). The theory of cognitive dissonance states that people 27 tend to behave in a manner that is c on sistent with existing attitudes and beliefs Yetley, (Bern, 1970; Schafer and 1975). Behaviors are not performed that conflict with the existing cogni ti ve framework. Schafer and Ye tley (1975) applied the theory of cognitive dissonance to the area of nutritional behav io r change. They claimed that people prefer to d evelop and maintain stability in diet ary patterns that are con sistent with their values and percep tio ns of their environment. Tension is produced w h e n stability is disturbed. Attitudes are seen as anchors w i th in the frame of reference used to evaluate the environment. The authors indicated that food choices are based on the need to maintain con sistent environmental dissonance. When events occur nutrition information) patterns to avoid (such as acquisition of to disrupt the existing pattern, r e structuring of the cogn iti ve belief system occurs only if the new information does not conflict w ith existing values/beliefs. If the n ew information is not c on sistent with e xisting attitudes or beliefs, it is not likely to be integrated into the individual's existing cognitive framework. The authors indicated that the ef fectiveness of nutrition educ ati on to af fect behavior change can be increased by assessing the exist ing values and beliefs of learners. Nu t r i t i o n e ducators should be aware that if information they provide is disson ant w ith the individual's existing patterns, b eh avior change is not likely to occur; the instructor's message may be perceived as th reatening and could result in d efensive or avoidance behavior in the learner. S u m m a r y ; The Rela ti ons hip Betw een Attitudes and Behavior In reporting results of researc h in wh i c h attitude and dietary intake have been assessed, authors have indicated that several factors in addition to attitude affect dietary change existing habits 1985), et al., change (Appendix A ) . These factors include: (Kok et al., 1984; Perron and Endres, (Ramsey and Cloyd, pretest scores Ries and Shoon, 1984; 1986), Vermeersch, Ries and Schoon, locus of control previous ex periences 1985), 1981; Ross, (Sims, 1979; Picardi and Porter, 1976; 1984; Hollis et (Yperman and (Maiman et al., (Schafer, Kok et al., 1978; 1983; (Schafer, 1982), (Harding et al., Kok et al., 1982), Kok et al., 1954; taste 1982; Dalton et 1986), and discrep anc ies bet wee n measurement 29 1984; 1976; Penner and Kolasa, problems with attitude m eas ur eme nt al., 1986), high influence of significant others 1978; Yperman and Vermeersch, 1984), Bryd- 1982; 1978; Eden et al., 1979; O'Connell et al., preferences 1976; attitudes of the instructor 1979) readiness to Sunseri et al., (Daelhousen and Guthrie, Wallston and Wallston, 1986), 1979; (Byrd-Bredbenner 1985), (Picardi and Porter, Bredbenner et al., Reames, Perron and E n d r e s , lack of control over food choices length of program al., 1982; instruments and prog ra m content Schwartz, Guthrie, (Peterson and Kies, 1976; Rosander and Sims, 1982; Eden et al., 1984; 1981; Daelhousen and Brush et al., 1986). Usability of the results reported depends on, a great extent, 1972; to the val id ity and reliability of the instrument used to collect the data. Indications that validity and re liability were d et ermined were provided only a few of the studies reviewed 1976; Carruth et al., 1981; Kaplowitz and Olson, and Kolasa, Shannon, 1977; Sims, 1983; (Picardi and Porter, 1978; O ’Connell et al., Kok et al., 1983; Byrd -Br edb en ner et al., 1984; Ries and Schoon, Guiry and Bisogni, in 1982; Penner 1984; Looker and 1986; Brush et al., 1986; Dalton et al., 1986). 1986; Use of research results to make program planning and implementation decisions should be limited to research in which a valid and reliable instrument was used. A primary reason for m eas ur eme nt of attitude in the past has been because of the assumed link between attitude and b eh avior (dietary c h a n g e ) . This literature review indicates that the dire ct c o rre la tio n between attitude and die tar y scores might depend on one or more of these factors. 30 Models of the Relationship Between Attitude and Behavior There has been disagreement in the literature regarding the "correct" sequence b etween attitude behavior change (A) and (B). Regression analysis has been used to determine if attitude scores predict behavior change or if behavior scores predict attitude change. A review of research which tests these and other models follows. Model One: Sims Attitudes Predict Behavior (1978) (A-B): tested the assumptions of two models wh ic h proposed different sequences in which attitude preceeded behavior change, beverage records as measured by one-day food/ (Figure 1). Both models propose that attitude change preceeds dietary change but the effect of knowledge differs in its relationship to attitude. KNOWLEDGE BEHAVIOR ATTITUDES Altitudes ore intervening vonobles between knowledge ond bchovior ATTITUDES BEHAVIOR KNOWLEDGE Know ledge a c ts to in tervene between o ttitu d e * ond behavior. Figure 1. Models related to the dietary change sequence (Sims, 1978) 31 She assessed the knowledge, attitude, intake of lactating women. constructs: Sims assessed four attitude "nutrition is important", are necessary", and dietary "vitamin supplements "meal planning is important", and "meal preparation is enjoyable." Dietary intake was assessed using three one-day food recalls. Total calories, protein, calcium, vitamin A, thiamin, riboflavin, ascorbic acid were calculated. Results niacin, and indicated that nutrition knowledge was positively corr el ate d with "nutrition is important" (r=.55, p<.01). (r=.31, pC.Ol), and education "Vitamin supplements are necessary" was negatively correlated with education (r=-.37, pC.Ol). "Nutrition is important" was positively correlated with protein intake (r=.25, p<.01). There we r e no other significant correlations between the att itude constructs and any of the die tar y factors. BEHAVIOR Protein Group Inoei (p ro .v it A . fe . th io . mo) Vitam in C Figure 2. The relationship between nutritional attitudes, knowledge, and practices (Sims, 1978) 32 Path analysis indicated that nutrition knowledge was an intervening variable b e t wee n attitudes and dietary adequacy which supports Model II ("attitudes cause knowledge change w h i c h causes behavior") rather than Model I ("knowledge leads to attitudes, wh ic h lead to nutrient intake") (Figure 2). On this basis, Sims c oncluded that positive attitudes toward nutrition increased subjects' knowledge which led to die tar y change interest, in acquiring (A-K-B). She recommended that educational programs focus initially on attitude change to promote co mpr ehe ns ion of cognitive information (knowledge c h a n g e ) , resulting in dietary change. Olson and Sims (1980) p resented a model of information processing that outlined several stages from the point of receiving nutrition information to de monstration of changes in food select io n and menu planning behaviors (Figure 3). In this model exposure to and c omprehension of the message and formation of attitudes and intentions preceed behaviors selection). N ew information is acquired, (food stored, retrieved for later de cis ion - m a k i n g purposes. and The information must be processed through the various stages, including formation of attitudes, (food selection) behaviors. 33 to result in a change of INrORMATCN mhgrato* m h c i& i o n w a « n g Caposure A T T E N T IO N -m- c o m p r e h e n s io n R EHEARSAL - * » - knimiEdge STRUCTURES CONCEPTS AND Kuicrs • s tru c tu re or PROPOSITIONS ATTITUDES AND BEHAVIORAL INTENTIONS DECi S'ON-MAKINC PROCESSES SELECTION or root menu Figure 3. The information processing model Sims, 1980) Schwartz model (1975) ttpes P l a n n in g (Olson and conducted a study to determine which (Figure 4) best explained the relationship between knowledge, attitudes, and practices of college students who had enrolled in high school home economics courses. Knowledge and attitude, and attitudes and practices were significantly correlated; knowledge an d practices were not. Based on these findings, Schwartz accepted Model wh i c h indicates that attitudes influence knowledge and practices, to describe the re lat ionship between the variables. 34 I, K K -A-P Model I K A * K-A‘ P Model 3 A K K -A -P P A Model 2 K-A-P Model A A Figure 4. Four possible models of the interrelationship between nu tritional knowledge, attitudes, and practices (Schwartz, 1975) Peterson and Kies (1972) inv es tigated nutrition knowledge, attitudes toward teaching n utrition and toward the school lunch program, and teaching practices of K-3 teachers rel ate d to teaching nutrition. Sixty-three perc en t of the teachers surveyed felt tha t nutrition should be taught as an integral part of the elementary school c u r r i c u l u m and 53% reported t eac h i n g nutrition in this manner. Al tho u g h this appears to indicate a high level of c o n s i s t e n c y between attitudes toward teaching nutrition and teachi ng practices, actual teaching behaviors were not evaluated. Ni n e t y - o n e percent of teachers thought that promoting a f avo ra ble attitude towards nutrit io n was more important than teaching factual in formation in achieving positive e a t i n g habits. There wer e no p os itive correlations between knowledge and attitudes toward teaching nutrition or between the 35 importance of n u t rit io n in p romoting d esirable dietary habits and the school feeding program. The authors concluded that nutr it ion knowledge of el ementary school teachers was not related to attitudes toward teaching nutrition but that teacher attitudes toward the importance of teaching nutrition pred ic ted teaching behaviors. Results found in r es earch by Gui ry and Bisogni (1986) illustrate h ow the c o r r e l ati on between attitudes and behavior is affected by specificity of attitude measurement. They rep orted that the attitude constr uc t "It is hard to limit coffee consumption" was a strong predictor of caffeine consumption. This attitude explained 42.4% of the va riance in ca ff ein e consumption. They also used a more general scale to assess attitudes toward the importance of nutrition. This measure did not predict caffeine consu mp tio n as measured using a 24-hour bev erage recall and a beverage freq ue ncy list. If this study had assessed only the a ttitudes related to "importance of nutrition", no r e la tio ns hip bet wee n attitude and caffeine co nsumption w oul d have been found. The attitude construct "It is hard to limit coffee consumption" is more specific related to caffeine c o n s u m pt ion than the general construct "importance of nutrition." A model by McGu ire model by Olson and Sims (Flay et. al., (1980) 1980) supports the in that it assumes modifications in behav ior follo w changes in knowledge, attitudes and intentions. A series of progr es siv e steps 36 leading to behavioral change is out l i n e d in the McGuire Persuasion M a t rix (Flay et al., 1980). This model (Figure 5) concep tua liz es the change process and the complexities of the re lat i o n s h i p s between knowledge, attitude, and behavior in the communication process. The message is presented ( e x pos ur e); if the message is recognized (awareness) results. and comprehended, a c ha nge in knowledge If the message is accepted, there is a yielding to the m e s s a g e and a change in belie fs and attitudes occurs. If the n e w beliefs and a tti tud es are reinforced and if a p p r o p r i a t e skills are present, the belief/attitude will p e r si st and result in behavior change. exposure to the m e s s ag e awareness (recognition of the message) co mp reh ens io n of the m e s sa ge knowledge change c ha nge in beliefs (acceptance of the message) attitude change re in for cem e n t / p e r s i s t e n c e of attitude behavior change maintenance of c h ang e Figure 5. The McGuire persuasion m a t r i x 1980) (Flay et al., Program in effectiveness in influencing behavior change may be due to inc om ple te processing at a n y stage in the model. 37 For instance, the target audience may not be reached of exposure); the message may not be attended to a w a r e n e s s ) ; the message may not be u n d e rs too d in knowledge) or y ielded to (lack (lack of (no change (no change in b e l i e f s ) ; attitudes might not be changed becau se beliefs are not. retained, and su bsequent behavior might not occur because the attitude is not reinforced. When behavi or change is assessed in p r o gra m ev alu at ion procedures, the educational program should be examined to d e ter mi ne if the learner is allowed/ enc ou rag ed to proceed through the steps included in this model. Ajzen and Fishbein's action, (1980) theory of reasoned proposes that b eh avior is det erm ine d by attitudes (A) and norma tiv e beliefs (NB) (Figure 6). N ormative beliefs are perce pt ion s about wha t people whose opinions are valued think about the behavior. beliefs are Influenced by social values. influenced by perc eiv ed advantages, N ormative Attitudes are disadvantages, and consequences of per for mi ng the behav io r which is considered to be a social, factor. Weights are assigned (beta weights from the regression equation) proportional w h i c h are to the relative importance of the predictor. 38 A + NB B(wl) = B I --------------- *B -time -skilIs -existing habits (w2) Where: A = attitude toward the behavior B NB = normative beliefs BI = behavioral intentions B = behavior wl = weight applied to attitudes w2 = weight applied to subjective norms Figure 6. Theory of reasoned action 1980) Ajzen and Fis hbein (1980) (Ajzen and Fishbein, propose that other variables might i nfluence behavioral intentions by influencing at titudes or normative beliefs. connection b etween intentions and by time, skills needed the less (the more the less likely the be havior is to be p e r f o r m e d ) , and existing habits existing habits, The behavior is influenced to perfo rm the behavior complex the skill needed, indirectly (the stronger the likely they will be modified) (Figure 6). Dalton et al. (1986) c onducted research to assess the ability of several dete rm ina nt s to predict food choice behavior. They tested the model of reasoned action proposed by Ajzen and F ishbein 39 (1980) (Figure 7). irHAvotA! nuns IO O O C m C K C I 1 HftSf'KVt>k* E*p*rf-*rKy 7 G tN E R A l fO O O 3 S n i o r App*o! CHOICE DETERMINANTS SO C lAt A tM u d * lo r o r A p O fn tl food 7 C K o *c* < ft>odCfo-t* CUlTURAl Aituo’loorfGwa PSYCHOLOGICAL PHfS»OlOG»CAt R * * c t * * d lr t l k * r < » TKo» O iK * » i o f 0 * K « r» lK.nl SKould/SKoifld Nq'CKoow food Figure 7. A food-choice behavior model adapted from the theory of reasoned action (Dalton et al., 1986) Attitudes toward food choices, intended food choices, and actual food choices of employees at their workplace were assessed. They reported that employees who made food choices that were consistent with intentions had more positive attitudes (p<.05) toward foods they selected than persons who made food choices that were stated intentions. inconsistent with "Sensory appeal" was the best predictor of intentions and actual food choices. "Health value" was the second strongest predictor of intentions, but did not predict food choices. These results indicated that attitudes were more important than norm at ive beliefs (perceived influence of others) actual food choices. in pre dic ti ng intended and Based on these findings, 40 the authors suggested that nutrition educators should consider taste (sensory appeal) as a p rimary factor affecting intentions and food choice behaviors. They suggested that educational programs which attempt, to modify food choices could increase e ffectiveness if factors (e.g. beliefs, underlying food choices and influence of others) taste, health are investigated. Matheney et al. (1987) applied the theory of reasoned action to dete rmi ne the predictive value of attitude and normative beliefs on mothers' beliefs, intentions, and actions regarding method of infant feeding. this study indicated that attitudes, Results of based on beliefs, were more predictive of actions than normative beliefs (perceived influence of others). Based on these results, the authors re commended that nutrition e ducation programs should assess attitudes and beliefs because of their potential importance in predicting food choice behavior. A model (Figure 8) which includes several factors to explain the process by which attitudes guide behavior has been proposed by Fazio (1986) 41 of Indiana University. Attitude------- *■------- direct experience Activation-----f- ------- repeated ex pression of the attitude v Selective-------«------- situational cues Perceptions v Immediate --------cr ed ibi lit y of the source Perceptions «-------- perceived value of the information v Definition of * ------- norms the Event Behavior Figure 8. Model of the a t ti tud e- to- be hav ior process proposed by Fazio (1986) Attitude act iv ati on is the first component of Fazio's Model (Figure 8). Fazio claimed that existing attitudes need to be recalled (activated) from memory and considered before the new attitude can be integrated into the individual's cognitive structure. The strength of the attitude affects attitude activation. The stronger the attitude the more easil y it is accessed from memory. If an evaluative opinion is strongly ass ociated with an object, the attitude is e a si ly accessed and is therefore available to guide behavior. Behavior is not likely to be guided by existing attitudes unless they are strong enough to be accessed from memory. If accessed attitudes are positive, then the positive components of the attitude issue are likely to be considered. A negative attitude would prompt the individual to focus on the negative aspects of the attitude issue. The activated attitude functions to guide 42 information processing, attitude formation or change, and related behavioral change. Fazio (1986) claimed that attitude a ct ivation is influenced by two factors whic h affect the strength of the attitude: direct e xp erience in the formation of the attitude and repeated e xpr ession of the attitude. He thinks that attitudes formed involving direct experience are stronger pr edictors of su bs equent be havior than those based on indirect experi enc es because attitudes are more likely to be s tre ngthened resulting in increased a c cessibility from memory. Selective p e r c ep tio n occurs w hen people selectively recall information wh e n c onf ronted with a new situation. The information re cal le d influences immediate perceptions related to the at ti tud e object encountered. Selective perception is influenced by situational cues (verbal, printed) which prompt an individual to access existing attitudes which may influence their d e f i nit io n of the situation. Selective pe rceptions such as opinions about the credib il ity of the source and expectations regarding the value of the inform at ion to be received, affect immediate perceptions. The individual's selective and immediate perceptions influence the d e f i n i t i o n of the situation wh i c h guides behaviors. positive, If the d e f i n i t i o n of the situation is then a pp roa ch behaviors are likely to result; the def inition of the event is negative, 43 then avoidance if behavior occurs (Fazio, 1986). This model proposed by Fazio (1986) provides one expla na tio n of the process by w h i c h attitudes guide behavior. Whereas early investigations of the attitude- behavior r e lat io nsh ip focused on determin ing whether there was c on si ste ncy between attitude and behaviors (correlational a n a l y s i s ) , this model attempts to explain how the method of at titude formation and strength of existing attitudes affect the individual's def ini ti on of the attitudinal issue and subsequent behavior change. Fazio suggested that future research investigations should assess the ability of several factors (independent variables) (dependent variable) to p redict be havior change rather than to assess only attitude and behav ior and compute a single c o r r e l at ion between them. Model T w o ; Be havior Predicts Attitude (B-A) Some inv estigators think that behaviors are accurate predictors of att itude change al., 1979; O'Connell et al, (e.g. Brehm, 1956; Maiman et 1981). This model is ab breviated as B-A. Br eh m (1956) suggests that ac qui si tio n of new information leads first to behavioral improvements which result in formation of positive attitudes. Bre hm measured attitudes and b e h avi ors regarding certain consumer products. He asked c onsumers to evaluate several products and then told them they could select one item in payment 44 for their participation. He found that evaluation of the item selected as the reward increased in f a v o r a b i l i t y . The evaluative opin io n toward the other items was less favorable on the second evaluation. B r e h m concluded that the behavior of selecting a reward influenced attitudes toward consumer products Several et al., investigators 1981; Penner that attitude change experiences (B-A). (Maiman et al., and Kolasa, 1983; 1979; O'Connell Reames, 1985) found depends in part on previous (behavior) of subjects. A study was cond uct ed by Penner and Kolasa (1983) to investigate attitudes of secondary school teachers towards teaching nutrition, nutrition knowledge, experience teaching nutrition. and previous Atti tud es toward teaching nutrition were as se sse d using a fi ve-point Likert scale and two semantic differential scales ("my own nutrition" and "my teaching food and nutrition"). that teachers of health, economics, science, Researchers found physical education, home and social science w h o had taught some aspect of nu trition had more positive attitudes than those who had not taught nutrition. Teachers that indicated they had previous ex per ie nce teaching nutri tio n were more likely to have taken f ood /n utrition courses and had higher scores on the nutri ti on knowledge test. W h e th er the positive attitudes of teachers with previous experience teaching nutrition influenced su bsequent teaching behavior was not reported. 45 O'Connell et al. (1981) investigated the r el ationship between attitudes of teachers ("nutrition is important" and "favors n utrition e ducation in schools") behavior and teaching ("commitment to teaching nutrition"). Scores on the attitude a ssessments were si gnificantly correlated (r=0.23 p<.05 and r=0.41 p<.001) teaching nutrition." Teachers w ho had taught nutrition had signifi can tly higher means nutrition education" wit h "commitment to (p<.05) on "favors than those who had not. the "commitment to tea ching nutrition" Scores on scale were influenced by c o m p e ti tio n for teaching time from other subjects and high pret es t scores. The authors concluded that the exp eri en ce of teaching nutri tio n might result in more favorable attitudes toward including it in the curriculum. A study by Reames (1985) was conduc te d to determine level of c o n s i ste nc y b e t we en attitudes and practices of physicians regarding infant feeding practices. Scores revealed that ph ysicians had strong positive attitudes regarding (1) importance of bre as t f e e d i n g on the w e l l ­ being of infants and (2) b r e a st fee di ng as the best form of nourishment for infants. However, recommend ati on s of the physicians re garding bre as t f e e d i n g and infant feeding practices were not c o n s i st ent with successful breastf ee din g practices. Physicians whose children had been b reastfed felt bre as t f e e d i n g was more important and recommended b r e a s t f e e d i n g to patients more often, 46 than physicians whose children had not been breastfed. experiences (having children w h o were breastfed) Previous seems to have influenced the formation of positive attitudes and subsequent related behavior (infant feeding recommendations). Maiman et al. (1979) reported that dietitians' own successful weight loss experiences were significantly correlated (r=.38, p<.05) with attitudes toward obesity (self image, weight l o s s ) . Authors concluded that personal experience was a better predictor of attitudebelief consist en cy than knowledge or job experience. The debate related to whet he r attitude scores predict dietary change or whether dietary scores predict attitude change is important to nutrition educators. If attitude change accounts for variance in dietary change, implementation of educational programs should address the affective domain to facilitate di et ary change. If attitude change is not necessary for dietary change to occur, promotion of positive attitudes need not be considered as ma ndatory in programs which promote die tar y change. In examining the models presented it can be seen that investigators have reached diffe ren t conclusions based on results of their research. It is likely that the relationship between attitudes and behavior change) (dietary depends on other factors whic h were not included in these models. Instead of asking whether attitudes predict behavior change or vise versa it seems more 47 important to investigate additional factors, of control, attitude of the instructor, such as locus and job e xp erience of the instructor, w h i c h would indicate the ability of several factors to predict attitude or die ta ry change. Locus of Control as a Pred ict or of Diet ary Change Locus of c o n t r o l / p o wer les sn ess has been assessed in attitude research investigations because of its proposed relationship to behavioral change 19 76; W a l l s t o n and Wallst.on, Hollis et al., 1986). (Haggstrom, 1966; 19 78; Eden et al., Sims, 1984; People w h o believe events in their lives are beyond their control are considered to have an external locus of control (high powerlessness). Ext ern al ly c o ntrolled persons can further be classified into two groups (a) those who expe ct that fate, control events in their lives (b) luck, or chance those w h o believe others are respo ns ibl e for c ont ro lli ng events in their lives. Persons with an internal powerlessness) locus of control (low perceive themselves as having control over events in their lives. H a g gst ro m (1966) suggested that, low-income persons usually have an external locus of control due to lack of support and reinforcement. feeling victimized, He indicated that a sense of due to limited income, was congruent with a hig h level of powerlessness. He suggested that if low-income persons gain a feeling of increased control due to p a r t ic ip ati on in educational programs, the feeling of being v i c t im ize d and powerless m a y be lessened and 48 po si t i v e behavioral change might be increased as a result of a more internal locus of control. W a lls ton and Wal l s t o n (1978) defined locus of control as "one's beliefs about the rela ti ons hi p between one's behavior and its outcomes." locus of control are more dietary behaviors. Persons with an internal likely to adopt pre ventative The y exhibit "approach" b eh avior and are motivated by long-term benefits resulting from healthoriented behaviors. The authors suggested that the outcome of adapting positive health behaviors acts as re inforcement to the person with an internal control. Persons with an external locus of locus of control do not think that their immediate behaviors can influence term health status. long­ They need more reinforce me nt from others to adopt and m ai ntain positive attitudes and behaviors. The authors further recommend that information from powerlessness scales be used in planning and implementing nutrition education programs. Eden et al. (1984) re commended that locus of control scores be used to help plan programs in d ietary behavior change. They suggested that subjects with an internal locus of control are likely to be more motivated to adopt positive attitudes and behaviors with minimal instruction and support than clients w ith an external who require more support, locus of control use of motivational techniques, and more assistance in behavioral change. Hollis et. al. (1986) used a semantic differential 49 attitude instrument wh i c h included a "helpless and unhealthy" (HU) scale. serum triglycerides, pressure), C a r d i o v asc ula r risk (cholesterol, lipoprotein levels and blood medical risk, psychological risk, and diet habits were also assessed. Wo m e n scored significantly higher than men on the HU factor suggesting that women pe rceived themselves to be less in control of their dietary habits and less h e a lt hy than men. High scores were significantly n e g a t ive ly co rr elated with age pC.Ol) for men, not women. "helpless and unhealthy" medical (r=.16, p<.05) pC.Ol). Men who scored high on the scale had a high incidence of and psychological risk factors as did w o m e n (r=-.31, (r=.25 and (r=.18, p<.05) .25 resp ec tiv ely at Significant p os iti ve correlations were found between HU scores and the general severity of total distress as measured by the Hopkins Symptoms Checkl is t for men (r=.21, p<.01) Scores on this factor blood cholesterol p<.01); women: p<.01), and for wo m e n (HU) were also pr edictive of high (men: r=.18, p<.05 and women: low d ensity lipoproteins r=.33, pC.Ol); (men: r=.21, and serum triglycerides diasto li c blood p ressure density lipoproteins (r=.24, p<.01). r=.33, p<.05 and (r=.30, (r=.25, p<.01), (-.24, p<.01) in women. and high "Helpless and unhealthy" may be an indicator of low self-efficacy and be indicative of inability of the individual to form, modify, and maintain h e a l t h - p r o m o t i n g diet ar y habits. A study was c onducted by Ramse y and Cloyd 50 (1979) to assess EFNEP homemakers pre- and posttest locus of control, agencies, (powerlessness) o r i e n ta ti on toward use of professional and d i e ta ry change as measured by 48-hour food recalls of the p ar ti c i p a t i n g homemaker and one child. Results indicated that powerl ess ne ss increased for both EFNEP participants and the control (i.e., (non-EFNEP) group locus of control became more external after program participation). S ig nif ic ant improvements reported in the chi ldren's diets, agencies to solve problems. homemakers' (p<.05) were and homemakers' However improvements use of in the food recalls were not significant. Powerlessness was inversely related to the husband's educational level (Tau C=-.40, p<.001). The researchers stated that positive changes were greater if the individual was alre ady in the process of change and if p r o g ram content was similar to program objectives. Additional factors suggested by the authors that could have affected results of this study were strength of the learner-teacher relat ion shi p and readiness to learn. Davie et al. (1973) b etween 83 pro gr am aides' investigated the relationship level of powerlessness and their prog ra m success in W a s h i n g t o n State EFNEP. Program success of aides was m ea sured using performance rankings by CES Agents and other aides and improvement in 24-hour food recalls of homemakers. The pow erlessness scale used included response pairs in wh ich one choice represented a situation where a person indicated control over events in 51 their lives (internal alternative response locus of control) and the indicated a belief that their environ me nt was controlled by fate, chance, powerful others (external luck, or locus of c o n t r o l ) . The score of aides indicated a low level of powerlessness internal locus of control). (high The authors suggested that an awareness of the s oc ially a cce ptable responses might have affected results. There was no significant difference between powerlessness scores of aides rated by agents or peers as successful com pared to those rated as unsuccessful. However, positive changes in food recall scores of homemakers taught by aides with low powerlessness scores we r e greater than for homemakers taught by aides with high powerlessness scores. The authors suggested that if powerlessness scores were used in the selection of p r o g ram aides, the amount of improvement on the food recalls might be increased. Job E xpe rience as a Predictor of Dietary Change Hunger (1971) co nducted a study of the national EFNEP to determine if demogra phi c character ist ic s years of job experience, ethnicity) (education, of aides were related to improved dieta ry recalls of homemakers. No relationship was found between the level of education, years of em ployment in EFNEP, or ethnic background of the aide, and improvement in food recall 52 scores of homemakers. Attitudes of Instructors as a Predictor of D i e tar y Change The attitude of the teacher, parent, or healt h care professional might influence the amount of change in attitude and/or diet ary change of participants in nutrition education programs. C arruth et al. Yperman and Ve r m e e r s c h have investigated the (1979) (1977) and r e lat ionship between attitudes of persons in an instructional role (teacher, parents) and the attitude and dietary change scores of learners. Yperman and Ver m e e r s c h attitudes (19 79) found that parents' toward "importance of nutrition" mother's educational level (p<.05) (p<.01) and were the strongest predictors of variety in the diets of children. However, food pr eferences of parents were sig nificantly di fferent from preferences of their children (p<.001) indicating that parents preferences did not d irectly account for variance in food preferences of their children. Carruth et al. (1977) conducted an a ss essment in the Missouri EFNEP to determ in e h ow f l exi bi lit y to change, p e rsonality factors, nutri ti on knowl edg e related to weight modification concepts, and requests for literature affected ob served and verbal n u t ri tio n- rel ate d behaviors of program aides. Anderson (1977) in knowledge Results reported by Carruth and indicated that signifi can t gains occurred (p<.05) of aides that part ic ipa te d in training sessions rel ate d to w ei ght management, but knowledge was not an a cc urate p redictor of behavior. 53 Twen ty-eight percent of aides agreed with the statement, "Knowing something is good for me has little or no influence on w ha t I choose to eat." Eighteen percent agreed that "traditional ways of prepar in g foods are the best ways." Sixty-s ev en percent agreed that "The basic four food groups are the only usable tools for planning an adequate diet" and 35% agreed with the statement, "Restricting my meal patterns to familiar foods ensures that I enjoy w h a t I eat" indicating that aides' attitudes were not con sistent wi t h program content that they were re sponsible to teach (importance of including a varie ty of foods in the diet. Att itude .25, pC.Ol) (r=.79, p<.01) and age (r = - were si gnificantly correlated with aides' nutrition-r el ate d behaviors. Results of regression analyses indicated that scores on these two variables accounted for 75% of the var iance in behavior. The authors concluded that a lt hough attitudes of aides toward nutrition tended to be flexible, attitudes regarding teaching methods and personal d i e tar y change were inflexible. This research indicated that the assumption that nutrition educat io n instructors have positive nutrit io n-r ela te d attitudes is not necessar il y valid. Food R e c a l 1 as a Predic to r of D i e tar y Change Limitations of using the food recall instrument to assess dietary intake are p resented by Madden et al., (1976); B eaton et al., Guthrie (1979); Axelson, (1984). 54 (1984); and Axelson (1984) reported that me asurement error influences results w h e n the 24-hour food recall assess dietary intake. is used to She found that mean scores for most nutrients increased (but not significantly) from pre- to post-recalls in a study where no intervention was included between the two assessments. Intra-individual v ariation in daily nutrient (variation w i th in subjects) intake was reported in this study. Axelson also suggests that the experience of p a r t ic ip ati ng in the food recall might account for some of the di ff ere nc e in p re -posttest results. The "flat-slope syndrome" also threatens va lidity of food recall results. This is the tendency for persons who consume large q ua ntities of food to underestimate amounts of foods consumed, and for light eaters to ove re stimate qu ant iti es eaten. Axelson suggests that caution be used in c on c l u d i n g that differences posttest food recall in scores are due to partici pat io n in nutri tio n e ducation programs. Presence of the "flat-slope syndrome" was also reported by Ma dden et al. (1976) also indicated the occurance of this syndrome in die ta ry recall reports from elderly persons p a r t ici pat in g in special Guth ri e recall (1984) lunch programs. indicated that the ability of the food interviewee to estimate serving size, even with the assistance of m e as ur ing devices and food models, was poor. Men tended to overestimate, and wo m e n underestimated, serving sizes. 55 B e a ton et al. (1979) conducted a study to d etermine the amou nt of va ri a n c e in the 2 4-hour food recall hi gh ly- tra in ed investigators six times. in which interviewed 60 subjects, Based on results of their study, each they indicated no effe ct of training and no d iff erence between interviewers, but re ported signi fi can t effect of sex and "day of the week" for women. W hen investigators controlled for differ enc es in energy, neither of these effects was significant. subjects, Th e y rep orted that the larger the number of the lower the b e t w e e n - g r o u p variability; more observ ati on s per subject, individual variation. the the lower the int ra ­ They c oncluded that high in tr a­ individual v ari a t i o n limits the usefulness of a one-day food recall to assess food intake. The investigators presented a formula by whi ch to es timate the minimum number of days needed to reduce the va ria nc e to the point where n ut rie nt estimates were valid. Strengths of the food recall instrument are presented by Young et al., (1952); Alford and Ekvall, Sorenson et al., (1985); and Pao et al., al. (1985) (1984); (1985). Pao et compar ed one- and t hree-day food recalls of subjects p a r t i c i p a t i n g in the USDA N a t i on wid e Food Consump ti on Survey (1977-78). When co m p a r i n g one and three-day food recalls there were no significant differences (less than 2% variation) fat, and carbohydrate; calcium, b e t we en k i l o c a l o r i e s , less than 3% v ar i a t i o n between iron, magnesium, and phosphorus; and less than 5% variation in thiamin, riboflavin, niacin, and Levels of vitamin C showed little 18 year old males and vitamin B6. variation except in 15- 19-22 year old females. Mean vitamin A values were higher for the three-day recall period than for the one-day a s s es sm ent period. These authors concluded that use of the 24-hour recall was adequate to determine self-reported intake of all nutrients assessed in this study, except Vitamin A. Young et al. (1952) compared the 24-hour food recall to a 7-day food record in three different populations: seventh and eighth grade students, students, and pr egn ant women. high school and college Results from this study indicated that the two methods were significantly diffe ren t in es tim at ing kilocal or ie level of diets and adequacy of nine nutrients group results, in individuals. In comparing there we r e no significant differences b etween results of the 24-hour recall and seven-day record for any of the groups except for niacin. findings the authors Based on these suggest that the 24-hour recall is as valid as the seven-day food record in assessing selfreported dietary intake for groups, but less expensive and time consuming. These authors estimated that me asurement error accounted for ten per ce nt of the variance in dietary intake results. Sorenson et al. recall intake, (1985) compared the 24-hour food to a two-day food record, and food frequency. seven-day usual food Results of the 24-hour food 57 recall for fiber, calcium, vitamins A and C wer e phosphorus, potassium, and lower for the 24-hour food recall compared to results from the other three methods. The food frequency gave the highest mean values, but not after results were adjusted for ener gy level. Nutrients that were most c o n si ste nt ly estim ate d when comp ari ng all methods of as sessment were: sodium, iron, thiamin, fat, and niacin. values were obtained for fiber, and C. cholesterol, Least consistent calcium, and vitamins A There was more va r i a b i l i t y in nutrient intake when using the sh ort-term instruments record, protein, food recall) (two-day food than when using the food frequency or seven-day usual food intake instruments. Alford and Ekvall (1984) assessed inter-rater reliability between nu tritionists and students, and between und ergraduate and g rad ua te students who conducted diet historys. The data co llectors reported subjects' frequency of c o n su min g servings of the four food groups. A s ignificant dif fe ren ce was found betw een graduate and un dergraduate students' reports for servings of meats and for calcium, V i t am in D, and total calorie values. There were no differences b e t we en results of the combined student groups and nutritionists. The authors concluded that v ari ab ili ty b e t w ee n i nvestigators is not a significant co nt rib uto r variance) (accounts for <10 percent of the to results of self-reports of foods eaten. of diffe ren t food c o m p o s iti on tables pro bably also 58 Use contr ib ute d to the var ia b i l i t y between investigators. Sanjur (1982) provides a r evi ew of the strengths and limitations of the food recall that major include: instrument. limitations of the food recall She indicates instrument lack of accurate qua nt itative information, inaccurate r e p r e s en ta tio n of usual food intake, reliance on hone st y and memory of the subject. and She cautions that d i e t a r y information re sulting from the 24hour food recalls shoulg not be used as an indicator of nutritional status of subjects. Sanjur suggests that investigators should con sider these limitations when using the food recall in collection, interpretation of results. reporting, She suggests that food recalls are of some use bec aus e they are inexpensive, qu alitative dietary information, administer. and provide and are quick and easy to The t wenty-four hour food recall is considered to be valid for the as ses sme nt of die tar y intake of groups, but not individuals. An objective of the d i e ta ry as se ssment is to provide accurate information regarding eating habits of the po pu lation surveyed. However, results of the food recall instrument represent only reports of foods consumed in response to questions from prog ram aides, not information regarding dietary b ehaviors of subjects. It simply provides information wh i c h can be used to compare differences in self-reports at two diffe re nt points in time (program entry and c o m p l e t i o n ) . It cannot be assumed that d ifferences in scores are influenced by program partici pa tio n unless r andom ass ign me nt of subjects to control and experimental groups is used. Due to the importance of exam in ing multiple factors that play a role in d i e tar y change, several determinants were selected as independent varia ble s for this study including: attitudes of instructors toward d ietary change, instructors' years of experience in E F N E P , locus of control of the EFNEP prog ram part ici pa nts and instructors, pretest and attitude change scores of homemakers. By c a lculating the correl ati on bet wee n attitude and food recall change and by regressing the independent variables on the d e p end ent variables change of homemakers) (attitude and food recall information regarding attitude and dietary change of EFNEP participants is provided. 60 CHAPTER 3 METHODS The objectives of this research was to evaluate the effectiveness of M ic hi g a n EFNEP in promoting positive changes of pa rti cipants change, in attitudes toward dietary to assess the relat ion sh ip betw ee n attitude change and food recall change of enr olled homemakers, and to investigate the a b i l ity of indep en den t variables to predict change in attitude and food recall scores. Methods which were selected and used to provide data to fulfill these objectives are desc rib ed in this chapter. Approval to Cond uct the Study Permission to seek co nse nt to p articipate from homemakers enrolled in EFNEP and to collect data from them was gran ted by the Assoc iat e P rogram D irector of Home Economics Programs. Approval to conduct this study was granted by the University Commi tte e on Research Involving Human Subjects in March, 1986 prior to the co lle cti on of data B) . 61 (Appendix Subjects The subjects were homemakers who initiated enrollment in EFNEP during Augu st and September of 1986 and aides who provided instruction to clients enrolled during that time period. The Unit Report Summary for this period of homemaker enrollment pro vided demographic information which is presented in A pp endix C. The co mp arison gr ou p of subjects included women w ho were enrolled Program for Women, low-income in The Special Supplemental Infants, and Children (WIC) Food in Ingham County during the time the study was conducted. Women who were, or had been, e nrolled in EFNEP were excluded from the WIC c omp arison g rou p sample to avoid possible contamination. The attitudes and behaviors of pro gr am aides in all counties were assessed at the onset and co mpletion of the data collection period. A descri pti on of demographic characteristics of p r o gr am aides is provided in Appendix C. Research Sites Data were collected by pr og ram aides under the direction of County Extens io n Home Economists in ten Michigan Counties: Kent, Kalamazoo, attitude survey, Berrien, Wayne, Muskegon, Macomb, Oakland, Ingham, locus of control scale, Saginaw, and Genesee. The and 24-hour food recall were administered by aides to subjects in their homes. The data for the comparison group were collected by 62 WIC nutritionists at the Ingham County Public Health Services Building in Lansing, Michigan. Program Descrip tio n A des cri pt ion of the p r o g r a m components is included in A pp endix D. The c u r ri cul um used to teach lessons during the time of the study was "Eating Right is Basic 2" (Michigan State Un ive rsi ty C o ope ra tiv e Extension Service, 1986). These teaching materials were developed by the Michigan EFNEP staff and are used nationally. The lesson activities are de signed to teach basic nutrition principles and skills related to nut ri ent needs, preparation, planning. food storage, food selection, food and meal This c u r r ic ulu m does not sp ec ifically contain infor mat io n/a cti vi tie s to promote positive attitude change. A lt hough attitude improvement is named as a major program goal area, no national prog ra m guidelines are provided for i ncluding attitudinal infor mat ion in c u rricular materials. The number of lessons taught to individual homemakers depends on results of a co mp ete ncy -b ase d pretest which is administered upon enrollment. The as ses sm ent includes one item to measure each of 126 competencies w hi ch were judged to represent con ten t information that was essential EFNEP homemakers to master. an individual for If all items that represent lesson are answered corre ctl y the homemaker "passes out" of that lesson; that is they do not receive 63 instruction in that area. This process is used to shorten program enrollment by targeting instruction to specific areas of need for individual homemakers. R e search Design: H y p ot he ses Testing To test the first hypothesis t-tests were used (1) to determine if the di ffe re nce between pre- and posttest attitude scores of ENFEP participants were significantly different (2) to deter min e if the amount of change in attitude scores of the experimental group was significantly greater than change in the attitude scores of the c om parison group (3) to determine if homemakers with high attitude pretest scores had a significantly di fferent amount of change in food recall scores than homemakers with low pret est attitude scores. The t-test statistic was used with pretest scores to determine the initial equiva len ce of the control and experimental groups. The range, variance of scores were computed. standard deviations, and Frequencies of pre- and posttest scores of control and experimental groups were calculated to d etermine normal ity of distribution. Two-way ANOV A (Solomen Four Group Design) was used to assess the main effects of prete sti ng and program partic ipa ti on while c on tro ll ing for the effects of maturation and his tor y by using the c om parison group (Campbell and Stanley, 1963). In this design (Figure 9), the column means re present the main effect of EFNEP part ic ipa tio n and the row means repr ese nt the effect of 64 pretesting. Factor A: Program Participa ti on Factor B: Pre testing EFNEP Pretested Group No n- pre tes te d Group Figure 9. Two- way ANOVA: non-EFNEP n = 98 n = 36 n = 97 n = 30 Solomen four group design In attitude research, the pretest focuses the attention of the r esp ondent on the attitudinal poses a threat to internal validity, issue. This called test effect, because the e x p e r ien ce of responding to the pretest attitude items migh t influence posttest scores and Morris, 1983; Fazio et al., 1983; Fazio, (FitzGibbon 1986). To minimize test effect and maximize the ge ne ral iza bi lit y of the results, a no n-p re tes ted group wi thin the experimental and control groups was added to the traditional two- gro up experimental de sign (Figure 9). Results using the traditional p ret est - p o s t t e s t control group d esign can only be genera liz ed to prete ste d groups. Five of the ten partici pat in g counties were randomly selected to use the att itude pretest and po stt es t These subjects were the EFNE P "pretested g r o u p . ” 65 The staff in the other five counties admin is ter ed only the posttest attitude survey to h om emakers (non-pretested g r o u p ) . The second hy pothesis was tested by computing correlations between a tt itude change and food recall change scores of EFNEP participants. The third hy pot he sis was tested by conducting multiple regression analyses to determine whic h factors accounted for var ian ce in food recall change scores (the depend en t v a r i a b l e ) . Independent variables were entered into reg res si on analysis using the stepwise procedure. Independent variables included: homemakers and instructors, pretest attitude scores of pretest locus of control scores of ho memakers and instructors, locus of control change scores of ho me makers and instructors, attitude change of homemakers, experience. and instructors' years of To avoid using i ndependent variables that were correlated in the same regression analyses, two runs were conducted using pre tes t scores in one c omputation and change scores in a separate run. To d e t er min e w h i c h factors pr edicted change in attitude scores (the d e pen de nt variable) the following independent v a ria ble s were entered into the regression equation: pret est food recall scores of homemakers, pretest at titude and locus of control scores of homemakers and instructors, locus of control change scores of homemakers and instructors, instructors, years of experience of and food recall change scores of homemakers. 66 To determine if aides' years of job exp ience in EFNEP or attitude scores were related to amount of change of homemakers on attitude and food recall measures, tests we r e conducted, t- in additi on to regression analyses, after di viding aide scores into "high" and "low" groups according to pretest attit ud e scores and years of experience. Devel op men t of the Att itude Instrument The purpose of the attitude instrument used in this study was to assess the subjects' attitudes toward dietary change so that the p ro posed hypotheses could be retained or rejected. The following steps were followed to develop an instrument that was valid, reliable, and usable for the purpose of assessing attitudes toward dietary change: 1. Existin g instruments were reviewed by the primary research investigator to determine their usability in this research. Al though some items from existing instruments were included in the initial list of items to be reviewed, an instrument that could be used w ith the low-income po pu lation to assess "attitudes toward dietary change" was not found. 2. Two interviews w ith program aides in Ingham and Genesee Counties were conducted by the primary research investigator to elicit information related to the attitudes toward dieta ry change of the target, audience (homemakers pa rt ici pa tin g in E F N E P ) . 67 Questions were asked by the primary res earch investigator to obtain information from program aides regarding characteristics of homemakers wit h positive or n ega ti ve attitudes. Information from the interviews was used to deve lo p items to specifically measure the c o ns tru ct "attitudes toward dietary change" in the EFNEP population. By finding out h o w positive vs. negative attitudes are demo ns tra ted in this population, an instrument specific to the given construct could be developed for use w ith this population. A summary of the interviews is reported in A pp endix E. 3. Based on the results of the prelim in ary research interviews, a list of items was developed by the primary research investigator using a c ombination of existing and newly develo pe d items (Appendix F ) . Specifications for devel opm en t of a L ikert scale (Likert, 1978) were followed in the co ns truction of items. These guidelines are presented in Ap pen dix G. 4. Co nte nt v ali di ty was determined by submitting test items to expert reviewers for the purpose of assessing the ability of items to repr ese nt the const ruc t "attitudes toward diet ary change". Six reviewers w ere selected because of their expertise in one of the following areas: program evaluation, att itude assessment, or experience with EFNEP. A r e v i e w f orm was provided for evaluation of individual items (Appendix H ) . 68 5. The items wer e revised based on the results of the expert review. 6. The first draft of the attitude instrument (Appendix I) was pilot tested in Kent County with twenty enrolled homemakers. The survey included sixty items and used a seven-point L ikert scale. Complete instructions including procedures to follow to conduct the pilot test are included in A ppendix J. 7. An item analysis was conducted to determine construct validity and reliabil ity of the instrument with this group of subjects. a. Constr uct val idi ty of items was de te rmined by comparing item means of high scorers scorers (lower 18%). (upper 18%) If the items are valid, vs. low the mean scores between high and low groups should differ in the expected direction. To determine w hether individual items discriminated between homemakers with positive vs. negative attitudes toward d ietary change, the d i scr imination indices were calculated for each item. The d i scr imination index reports the difference in mean percent scores b e t w e e n the upper and lower groups of scorers and ranges from -1.00 to +1.00. Only items with a di sc rimination index of >.33 were considered to adequately di stinguish between high and low scorers. The discri mi nat ion index applied in this item analysis was: 69 X H - X L Where: X = mean item score of homemakers H group (upper 18%) in the high scoring X = mean item score of homemakers in the low scoring group L (lower 18%) b. The di ffi cu lty index is the mean percentage of respondents who selected the most positive response. range for this index is 0-100. be too "hard" "easy" c. An item The was considered if the di ffi cul ty index was to < 20% or too if the d i f f ic ult y index was > 80%. In comp ari ng total mean scores of the scoring group of respondents, 66.37 respectively (Table 1). upper vs. lower the means were 88.10 and The di ff erence between these two means is 21.73. Table 1. Pilot test means and ranges of attitude scores for upper and lower scoring groups Mean Score Group High Scorers L o w Scorers All Subjects (n=3) (n = 3 ) (n=16) Range of Scores 88.10 77.1 - 89.0 66.37 63.1 - 67.9 75.65 63.1 - 89.0 8. Using the criteria indicated p r e vi ous ly for acceptable d i scr imination and d i f f ic ul ty indices for individual items, a second draft of the instrument was developed. 70 Aides that adm in ist er ed the initial pilot test were asked to complete a r e vi ew for m regarding the instrument's u sability w i t h the EFN EP popu lat io n (Appendix K ) . Comments from these reviews were also used to revise the format of the instrument after the first pilot. recommend at ion s from pro gra m aides, scale was used Based on a five-point Likert (instead of seven response categories as in the pilot test instrument) and the number of items was reduced from 60 on the first pilot to 33 for the second pilot. 9. A second pilot test was condu cte d in Oakland County with 25 h om emakers using an att itude instrument which included two di ff e r e n t response formats (Appendix L ) . An item analysis of the second pilot test was conducted. Difficulty and d i s c r i m i n a t i o n indices which were calculated using the same procedures as with the first pilot test are presen ted in A ppe nd ix M. Total mean scores for the second pilot test of the attitude instrument are presented in Table 2. Table 2. Results of the second pilot test of the attitude instrument Group Mean Range High Scorers (n=4) 86.87 80.8 - 92.9 L o w Scorers (n = 4) 57. 58 52.0 - 61.1 All Subjects (n=25) 69.51 52.0 - 92.9 71 10. Items which met standards set for d i scr im ina ti on and di ff icu lty indices and that were approved by p r o g ram aides regarding usability were compiled into a final draft of the instrument whi ch was used for data collection in this study (Appendix N ) . Development of the Locus of Control Instrument One of the independent variables used in regression 1 analyses in this study was the locus of control of homemakers and aides. O) which assessed Two existing instruments (Appendix locus of control were pilot tested in Mu skegon and Berrien Counties to d etermine w hic h items were valid, reliable, and usable with this population. Indices of d i s c r i min ati on and diff ic ult y were computed using the same standard procedures that were used during the attitude scale pilot tests. Items which met the standards specified in this research (discrimination index of >.33; dif fic ult y index of .20-.80) second pilot test instrument (Appendix L) and tested in Oakland County. were included in the Items whi ch were determined to be valid (discriminated be tw een the upper and lower 18% of scorers) and that w ere cons ide re d by progr am aides to be usable wit h EFNEP homemakers were included as items 1-5 on the survey (Appendix N) and scored as a separate scale. 1 locus of control is defined as the perceived level of control individuals have over their environment. Individ­ uals with an internal locus of control perceive themselves to be in control over their environment; an external locus on control is charact er ize d by a p ercieved lack of control over environmental situations (Eden et al. 1984). 72 Develop me nt and J u s t i fic at ion for Use of the 24-Hour Food R e c a l 1 Instrument Although c o n t r ove rs y exists regarding the validity of the 24-hour food recall for individuals, it has co ns istently been used in EFNEP to assess die tar y adequacy of enrolled ho memakers and is c ons idered valid for groups. It is used because it is quick, homemakers and instructors, easy, we ll- ac cep te d by and is not as intrusive as clinical or biochemical a sse ssment procedures. Although the primary research investigator considers this instrument to have severe limitations in a ssessing actual dietary intake or nutritional status, it was used as a general measure of se lf-reported dieta ry intake of homemakers as a group because it was the instrument in place durin g the period of time that the attitude and locus of control instruments were used to collect data. It was not an option for the prim ary research investigator to implement the use of additional d ietary assessment instrument or to mo dify the existing measure by taking recalls of additional days. The food recall instrument used the method of scoring developed by the Synetics Scoring System for use in EFNEP by the USDA numerical (Jones et al., food recall on the q uan tit y 1975). A co mprehensive score from 0-100 was assigned based (number of total servings) and variety as measured by number of servings reported from each food group as follows: two servings of milk/milk products, servings of meat or meat alternates, 73 four servings of two fruits or vegetables, and four servings of grains. Additional points wer e assigned if 50% of the recommended servings were consumed for all food groups. The form used and procedure for scoring the food recall used in this study to collect data related to selfreported fo od/beverage intake is presented in Append ix P. Training of Data Collectors There are ten counties program is conducted. Aides in Michigan in which the EFNEP in all counties attended an inservice conducted by the primary research investigator at whi ch the purpose of the research and procedures for coll ecting data wer e explained. (A summary of this inservice pro gr am is provided as a component of "Program Description", Ap pendix D ) . Aides were encouraged to participate in the study. aides that their scores, It was explained to program and the scores of the homemakers, would not be used to eva luate their individual job pe rformance and that the scores would be coded to provide anonymity. The Consent Form and reviewed. (Appendix B) was distributed Aides that were wil li ng to participate were asked to sign the form and to complete the attitude and locus of control surveys (pretests). Appro pr iat e use of the a tti tude/locus of control instrument and procedures for compiling and retu rn ing surveys was presented. Aides had prev iou sl y been trained in the procedure for conducting 24-hour food recalls. 74 To maximize inter- and intra-rater reliability, the training included use of "food recall kits" w h i c h include dishes wi t h serving sizes marked so that acc ur acy of estimating portion sizes could be i m p r o v e d . Data C oll ection Data w ere co llected by all p araprofessional aides who were employed during the time period that the study was conducted (August 1, 1986 to March 1, 1987). The paraprofessional aides w ere chosen to coll ec t the data because they were not considered to be as threatening to the homemakers as a re search investigator might be. A consent form potential (Appendix B) was prese nte d by aides to subjects on an individual basis when they enrolled in the program. Questions regarding the survey were elicited and an swered by progr am aides. locus of control, The attitude, and 24-hour food recall measures were ad mi nistered at the first lesson to all consenting homemakers who enrolled in the prog ra m between A u gu st 1 and September 30 of 1986. The p osttest was administered to individual homemakers as they completed par tic ip ati on in EFNEP. The pro gra m aide read the a ttitude/locus of control items to subjects and then asked them to indicate their responses by selecting one of the response choices. Al though aides were e nc ouraged to use computer forms for recording responses to save the step of transferring answers from the survey to the computer form for scoring, 75 some were not co mfortable using this form. Therefore, whet he r answers were recorded on the computer forms or di rectly on the survey was left up to the individual aide. If the surveys were used as answer sheets, responses were transferred by the s ecretary at the county level or by the primary resea rch investigator after they were sent to the EFNEP State Office. A score for each item was obtained by assigning a value of 1-5 with the score of five re pr esenting the most positive response. The total score for individual respondents was ac hieved by summing item scores. Total scores we r e converted to percentages by dividing the raw score by the total possible points. The item analyses were conducted by the MSU Scoring Office to provide indices of d i s c r i mi nin at ion and di fficulty for individual items and to d etermine the co efficient of reliability. ANOVA, To compute correlational analyses, t-tests, and regression analyses of group scores the SPSSX pro gr am for m ic ro com pu ter s was used (SPSS, 1983). Tw enty-four hour food recalls of EFNEP homemakers were c onducted by p r o g ra m aides at the b eginning and co mp letion of homema ker en ro llment (Appendix P ) . The homema ke r was p rompted by the prog ram aide to report all foods and beverages comsumed w ithin the previous 24-hour period. To increase the acc uracy of serving size estimates, serving sizes were marked on sample glasses, cups, bowls, and plates whi ch were used by aides to conduct food recalls. The dietary items named by 76 homemakers were recorded by program aides and then cl as sified according to food groups and coded for computer analysis by clerical co mprehensive score staff in the counties. (percent) A was assigned, based on computer analysis w h i c h represents the total number of servings reported and number of servings w ithin the four food groups compared to the r ecommended number of servings (Appendix P ) . The score assigned to individual homemaker recalls was det ermined as specified previously. The attitude and locus of control pre- and posttests were also admin ist er ed to the compa ri son group WIC (consenting clients who were enrolled d uring the same time period) using the same procedures as wit h the experimental group. The 24-hour food recall instrument was not used with the co mpa ris on group because the purpose of this study was not to determ in e if the experimental group showed greater change in food recall comparison group. scores than the Pr ogr am aides in all the counties completed the attitude and locus of control assessments at the begi nn ing and end of the data col lection period so that their scores could be used as independent variables in regression analyses. 77 C H A P TE R 4 RESULTS AND DI SCU SS ION The results of data analyses are reported and di scussed in this chapter. Information related to the distr ibu ti on of scores and the effect of pretesting are reported initially. The results/ and a disc uss io n of the results follows and are p resented according to the three hypotheses of this study. Di st ribution of Scores and Re liability Re liability coe ffi cie nt s using the Kud er -Richardson 20 method .803 and .744 for the attitude pre- and posttests respe cti ve ly and .476 and (Kuder and Richardson, 1937) were .509 for locus of control pre- and posttests. Since this method scores the items d i c h o t o m o u s l y , only the most positive response was scored as correct resulting in an underest ima ti on of reliability. Frequency analysis was c onducted on all variables to assess distribution, of scores standard deviation, (Table 3). 78 skew, and range Table 3. Distribution of attitude, food recall scores Range Variable EFNEP Homemakers and WIC Clients locus of control, and Mean Skew +_ SD (n=261): Attitude pretest Attitude posttest 43-94 44-95 71.19 + 9.40 74.22 + 9.41 -0.038 -0.513 Locus of Control pretest Locus of Control posttest 44-96 44-96 69.13 + 11.72 71.96 + 11.40 -0.071 -0.230 4-100 10-100 51.81 + 26.16 84.74 + 19.00 +0.273 -1.471 63-94 63-92 82.82 + 6.60 79.11 + 6.37 -0.583 -0.642 EFNEP Homemakers (n=195): Food Recall pretest Food Recall posttest Program Aides (n=67): Attitude pretest Attitude posttest The food recall scores were well d istributed across the full range of possi bl e values. deviation, within groups, There was a much larger and a more normal ly distributed curve for the food recall measure than for the attitude and locus of control surveys. The values on the attitude assessment, p a r t i c u l a r l y for p rogram aides, were limited to the top half of the score range as indicated by the range and skew values presented in Table 3. This author suggests that the occur enc e of high scores negative skew) response set (and resulting on the attitude assessment were due to (i.e., the desire to please the investigator and the ability of respondents to choose the socially 79 acceptable response) (See "Strengths and Li mitations of the S t u d y " ) . Food recall scores piled up at the value of 100%. This author believes that the ceiling effect at the highest score value on the food recall was due to overrepor ti ng of foods consumed. food recall A weakness of the w ay the is scored in EFNEP is that a high score can be achieved by reporting consum pti on of several, amounts of foods. the food recall or large This is one of the weaknesses of using instrument, as scored in EFNEP, measure of food intake in this study. as a Other limitations and strengths of this measure are reported in the section "Strengths and L imitations of the Study". The Effect of Pretesting Subjects wer e randomly assigned to "pretested" or "non-pretested" groups. pretesting, To assess the effect of mean postte st scores for the pretested vs non-pre te ste d (n=127) (n=133) groups were computed and are presented in Table 4. Table 4. Posttest scores of pretested and non-pretested groups Mean Score Pretested Non-pre te ste d Group Group Variable Attitude Food Recall Locus of Control 74.62 86.97 71.85 80 73.81 82.08 72.08 The effect of pre testing was analyzed by co mputing ttest values for the groups that completed pre- and posttests vs. groups that took only the po sttest (Table 5) . Table 5. Results of t-tests to determine the effect of pretesting Variable Degrees of Freedom t-test Value P Value Attitude 257.81 .64 .524 Locus of Control 257.33 -.16 .871 Food Recall (EFNEP only) 155.53 1.65 .100 Groups that wer e pretested did not score s i gnificantly di f f e r e n t than non-pretested groups on any of the variables. The t-test results indicate that test. effect was not a threat to the v alidity in this study. The Effect of EFNEP Particip ati on on Attitudes Toward Dietary Change of E nro ll ed Homemakers HYPOTHESIS la: There is no di fference between pre- and posttest attitude scores of EFNEP participants. Eguiv ale nc e of P r e tes t Scores It is important to determine equiv ale nc e of pretest scores bet wee n the com pa ris on and experimental groups to qual if y inte rpr eta ti on of posttest results. If group pretest means were si gnificantly different, c omparing 81 posttest scores wo u l d not be an accurate method for de termining the effect of program participation. The attitude pretest means for experimental and c omp arison groups were similar (Table 6). Table 6. Co mpa ri son of pretest attitude means of the experimental and c o m p a ri son groups Mean Experimental Group (n=98) Variable Comp ar iso n Gr ou p (n=36) 71.42 Pretest attitude 70. 58 A t-test was used to compare the attitude pretest scores of the co mp ari so n (n=98) and experimental (n=36) groups to determine if the difference was significant (Table 7). Table 7. Initial equ ality of c omp arison vs experimental group pretest attitude scores Variable Pretest attitude Degrees of Freedom 78.26 t-test Value 0.51 P Value .515 The t-test value for the attitude test was not significant at the .05 level indicating that the experimental and control groups were not significantly diffe ren t at the onset of the study. 82 Results of Item An alyses of Homemaker Attitude Surveys A co mparison of pre- and po sttest item means for the attitude measure is provid ed in Table 8. Table 8. Ho memaker mean item scores for the pre- and p o sttest attitude survey Pretest Item In general, changes. Posttest I don't like to make 3.63 3.50 Improving the w a y I eat is important to m e . 4.42 4.47 I can't do much to improve the way I eat because of my income. 3.27 3.62 I often talk about nutriton with my family or friends. 3.22 3.82 Nutri tio n is not a p rio ri ty in my life . 3.49 3. 78 I am motivated to prepare nutritious meals. 3.59 4.04 The way I eat now d o e sn 't need improvement. 3.61 3.35 It would benef it me to improve the way I eat. 4.10 3.99 Nutri tio n is a boring topic to me. 3.89 4.12 There are not enough advantages to improving my diet to make it worth the effort. 3.80 4.07 There are many things I am more concerned wit h than improving my eating habits. 2.93 3.47 How con ven ie nt a food is to prepare affects whe th er I use it. 2.85 3.18 The price of a food affects wheth er I buy it. 3.74 3.69 83 Mea n scores on 9 of the 13 items showed positive change. In summary, (Table 8) the item analyses of pre-and posttest means indicated that homemakers: felt less constrained by income in making die ta ry changes; believed that making dietary changes woul d be beneficial; felt that dietary improvement was important; family and friends; a priority; meals. talked more about nutrition to agreed more strongly that nutrition is and were more motivated to prepare nutritious The percent of persons selecting each response category and indices of d i f fi cul ty and di sc rimination are provided in Ap pendix Q. Results of Group Data Analysis of Homemaker Attitude Scores The attitude pretest mean for participants in the EFNEP program was 71.42; the posttest mean was 75.79 (Table 9). Table 9. Attitude pre- and posttest results of the experimental group Mean Range Variable Attitude pretest (n=98) A t titude post.test (n=195) 71.21 75.79 43-94 44-95 Standard Deviation 9.93 8.46 A paired sample t-test was conducted to determine if the differences bet wee n pre- and posttest attitude scores of the experimental group were significant (Table 10). The t-test value re pre senting differences in pre- to posttest 84 attitude scores was s i g n i fi can t Table 10. Differences experimental group (p <.001). in pre- and posttest scores for the Degrees of Freedom Variable Attitude change (n=97) 96 t-test Value P Value -3.65 .000* * p < .001 These results indicate a significant improvement in attitude scores of p ar ticipating homemakers from the time of program entry to graduation from the Michigan E F N E P . This author attributes these results to characteristics of the EFNEP program. EFNEP, In the Michigan attitude improvement is co nsi der ed an important objective in addition to promotion of positive changes in food recall and k nowledge scores. information program. Homemakers are taught skills which assist them in using cognitive make dietary changes. EFNEP is more than an (factual) information to Program content is broken down into manageable tasks represented by 126 competencies State Un iversity Co operative E xtension Service, c u rriculum materials, and related training, (Michigan 1986). The focus on mastery of information and skills needed to implement changes in food selection and prepar ati on methods which are likely to result in improved food recall scores (Michigan State University Cooperative Exten si on Service, 85 1986). Although none of the competencies specifically addresses formation of positive attitudes, en couragement and reinfo rce men t pr ovi ded by p r o gra m aides probably result in positive attitude change as indicated in this study. Based on these findings the first null hypothesis (la) can be rejected. Change in Attitudes of Experimental v s . Co mp ari son Groups HYPOTHESIS lb: There is no difference between attitude scores of the com par is on vs. experimental groups. Pretest and posttest means for subjects in the comparison group (n=66) are reported in Table 11. Table 11. Attitude pre- and posttest results of the comparison group Mean Range Variable Attitude pretest Attitude posttest 70.58 71.08 Standard Deviation 55-88 51-89 7.87 8.76 The t-test values comparing pre- and posttest attitude (p=.422) means of the com parison group subjects were not s ignificantly d ifferent (Table 12). indicates that there was no improvement This finding (change) between pre- and posttest att itude scores of the c o m p ar iso n group. 86 Degrees of Freedom Variable 35 p Value .422 • Attitude change t-test Value i o 00 Table 12. Differences in pre- and posttest, attitude scores of the c omp arison group A t-test was conducted to d etermine if posttest scores, and amount of change from pre- to posttests between groups was significant showed that the experimental (Table 13). (n=195) T-test results and comparison (n=66) group scores were sig nificantly diff er ent on the posttest attitude measure (p<.05) and the amount of change on the attitude measure (posttest score minus pretest, score) also significant (p<.05). was Table 13. Comparison vs. experimental group attitude posttest, means (effect of program participation) Variable Degrees of Freedom Attitude posttes t. Attitude change 121.34 127.42 t-test. Value P Value 3.34 2.48 .001** .014* *p <.001 A two-way analysis of variance (n=261) (ANOVA) was conducted to test, for the main effects of program participation (EFNEP) and pretesting (Table 14). F-ratios were computed to dete rmi ne the significance of F value) (p- to test for the effect of p r o gr am p ar ticipation at 87 the .01 level of significance. The F-ratio represents how much group means va r y compared with h o w much means within a group vary. A si gnificant F-value indicates that the variance is great b e t we en the groups and minimal within the groups. Error is the un explained varianc e and Norpoth, 1976). (Iversen Table 14. Two-way A N O V A of attitude postte st scores to test for the effects of EFNEP and pr etesting Source of Variat io n Degrees of Freedom Main Effects pretesting EFNEP Sum of Squares Mean Square F Value 1 1 58.829 892.863 58.829 892.863 .685 10.396 Interaction Effect EFNEP by 1 pretesting .437 .437 .005 Explained Residual 3 256 935.453 21987.608 311.818 85.889 3.630 Total 259 22923 .062 88.506 * p <.05 P Value .409 .001** .943 .014* ** p <.001 The effect of p r o gr am p art i c i p a t i o n on attitude po st tes t scores was s i gni fic an t at the .001 level (p=.001) indicating that a significant amount of the variation in attitude scores bet wee n the experimental c o mparison groups part ic ipa tio n (n=66) (n=195) and can be att ributed to program (Table 14). A N O V A results indicated that the effect of pre testing on attitude po sttest scores was not si gnificant (i.e., test effect was not a threat in this 88 study). Based on these findings, Hypothesis lb can be rejected. This author attributes the significant differences in attitude scores between the groups to differences in characte ris ti cs of the programs. The WIC program includes a nutri ti on education component w h i c h is primarily cognitive based. If knowledge changes had been evaluated, it is possible that the co mparison group would have shown improvement on that variable. with the WIC program, Based on personal experience it the ob servation of the principal research investigator that the time involved in nutrition education in WIC is minimal. to improve the nutritional The primary purpose of WIC is status of participants determined to be at nutritional risk by providing coupons which can be redeemed for foods. The educational component is a minor component of the program which provides information related to nutrient needs during pregnancy and infancy. Attitude change is not a prima ry goal of WIC. In contrast, EFNEP is an educational program rather than a supplemental food program. The clients spend several hours in on e-to-one instruction. Goals of the EFNEP pro gra m are to improve knowledge, behaviors of low-income homemakers skills, (UDSA, attitudes, and 1976). EFNEP aides in Mi chigan receive training to assist them in improving attitudes and dietary ad equacy of clients. Such training has not been provided for WIC Nutritionists who participated in this study. 89 The Ef fect of Pretest Attitude Scores on Food R e c a l 1 Change of EFNEP Homemakers HYPOTHESIS lc: There is no difference between food recall change of groups wi t h high vs. low pretest attitude scores. Pretest attitude scores of homemakers divided at the media n into two groups. (n=90) were The range of pretest attitude scores in the high scoring group was 4369. The range of scores in the low attitude group was 7194. A comparison of food recall means is p resented in Table 15. Table 15. A com par is on of change in food recall scores for groups with high vs. low p retest attitude scores Group Mean Food Recall Change +_ SD Low pretest attitude High pretest attitude (n=39) 33.10 + 23.57 (n=51) 41.49 + 27.81 When amount of food recall change between the groups was compared using t-test analysis, results indicated that although the amount of change on the food recall measure was significant (p< .001) for all subjects as a group, when subjects were divi ded a ccording to high vs. pretest attitude scores, low there was no diffe ren ce between mean food recall change scores. 90 Table 16. T-test analysis of food recall change in homemakers with high vs. low pretest attitude scores. Variable Degrees of Freedom t-test Value p Value Food Recall Change High vs. low pretest attitude groups 87.02 -1.55 All subjects 89.00 -13.68 .126 .000* * p <.001 These findings indicate that Hypothesis lc can be retained i.e., there is no dif ference in amount of food recall change between groups related to pretest attitude scores. The large standard deviations (Table 15) co ntributed to the t-test analysis finding of "no d i f f e r e n c e s ". The Re la tionship Between Attitude and Food Recall Change Scores of EFNEP Homemakers HYPOTHESIS 2: Attit ud e change of homemakers is not correlated with food recall change of EFNEP homemakers. Correlational Analysis C o rre lations were computed to determine the strength of the relati ons hi p betw een attitude and food recall change scores of homemakers. The c o rre la tio n between attitude and food recall change was significant at the study, .15 which is not .01 level. Based on the results of this it ca nnot be concluded that changes in attitude and 91 food recall scores are related. A report of all co rr elations between attitude and food recall variables is prese nt ed in Table 17. 92 Table 17. Correlations between homemaker attitude, locus of control, and food recall scores. Variable 1 2 3 4 5 6 7 Locus of Control .266 1. Pretest 1 .000 .605** .420** .101 - .325* «.157 .266 1 .000 2. Posttest .610** .205 .483** .209 •.068 .605** .610** 1.000 - .176 3. Change .316* .439** Attitude 4. Pretest 5. Posttest 6. Change .420 .101 .325* .205 -.176 1 .000 .406**- .635**-048 .483** .316* .406**1 .000 .448**- 320 *** .209 .439**- .635** .448**1 .000 8 9 .126 .048 -.050 -.041 .007 .005 -.166 *** .017 .164 .122 .251 *** *** Food Recall 7. Pretest 8. Posttest 9. Change * p <.01 .157 .126 .050 ** p< .001 - .068 .048 - .041 *** *** .007 -.048 .005 .017 - .320 .166 .164 *** *** .122 *** correlation not calculated ,000 .251 *** 1.000 *** 1.000 A summary of studies cited in the review of the literature, be havior reporting correlations between attitude and (food recall) scores is presented in Append ix A. Some investigators reported significant positive correlations between n u t rit ion -r ela te d attitudes and food intake measures Sims, 1956; Baird and Schutz, 1978; O'Connell et al., others did not and Guthrie, 1984; (e.g. Brehm, 1981; Dalton et al., (e.g. Picardi and Porter, 1982; Ross, Sunseri et al., 1984; 1976; 1986); 1976; Daelhousen Byrd-Bredbenner et al., 1984; Ries and Shoon, 1986). Results from this study regarding the relat io nsh ip between attitude and dietary change of homemakers show that these factors are not correlated. Based on this finding the second research hypothesis can retained. The Ability of Independent Variables to Predict Change in Attitude and Food R e c a l 1 S c o r e s . HYPOTHESIS 3a: Food recall change is not predicted by: instructor years of experience, pretest attitude scores of instructor, homemakers' locus of control change score, attitude pretest or change score of homemakers, or pretest food recall scores of homemakers. HYPOTHESIS 3b: Attitude change is not predicted by: instructor years of experience, pretest attitude of homemakers, homema ker pretest or change in food recall, instructors' p retest attitude, homemakers' pretest or change in locus of control scores. Regression Analysis Regression analyses were conducted to dete rmi ne if change in attitude or food recall scores depended on several independent variables. The results are reported related to the per cen ta ge of variance 94 (R-squared) accounted for by each independent variable. of all independent variables (total variance) The variance represents the degree of pre dic ti on of the de pendent variable. each phase of the stepwise procedure, At the "fit" of the independent variables was analyzed while co ntrolling for the variance contr ib ute d by the other independent variables. D ependent Variable: Food recall change of homemakers (posttest minus p retest score) Independent Variables First Regression Run Instructors pretest attitude Homemaker attitude change Homemaker pretest food recall Second Regression Run Homemaker p retest attitude Homemaker locus of control change Instructor years of experience Figure 10. Regression analysis model to assess the ability of independent variables to predict food recall change Independent variables were r egressed on food recall change using the stepwise procedure in two separate analyses to avoid use of variables that were correlated withi n the same analysis (Figure 10). Results of these two regression runs indicated that only one factor, homemaker pretest food recall scores, 95 entered into the re gr ession equ ation (Table 18). Table 18. Results of the first regression analysis run to predict variance in food recall change 2 Step/ V a riable Multiple R 1. Homemaker food recall pretest .7608 R .5788 FValue Signicance of F 119.54 .000 Beta 7608 This factor accounted for 57.88% of the v ariance in food recall change variables (p<.001). None of the other independent included in this run, or the second regression run, a ccounted for a significant amount variance in food recall change. (p < -05) of the Based on these results Hypothesis 3a can be retained for all variables except pretest food recall scores of homemakers. These findings indicate that 57.88% of the change in food recall scores from beginning to end of program p ar tic ipa ti on in Michigan EFNEP can be predicted by the pret est food recall score. Independent variables that w ere entered into the re gr ession equation to predict attitude change variable) (dependent are listed in Figure 11. Two separate regression runs were conducted so independent va riables that were correlated (Table 17) would not be entered into the same regression equation. 96 De pendent Variable: At ti tud e change of homemakers (posttest minus pretest score) Independent Variables First Regression Run Instructor pretest attitude Instructor years of experience Homemaker pre tes t locus of control Homemaker pretest food recall Second Regression Run Homemaker locus of control change Homemaker pretest attitude Homemaker food recall change Figure 11. Regression analysis model to assess the ability of independent v ariables to predi ct attitude change Results of the first reg ression analysis run indicated that pretest locus of control accounted for 9.83% of the variance in attitude change (Table 19). Table 19. Results of the first reg re ssi on analysis run to predict va riance in attitude change 2 Step/ Va riable Mu ltiple R 1. Homem ak er pretest locus of control .3136 R .0983 FValue 10.25 Signicance of F .002 Beta -.3136 The other independent variables that were included in this run (pretest food recall, instructor years of experience, 97 and instructor p r e te st attitude score) significance did not have a level w h i c h was high e nough (p <.05) for entry into the re gre ss ion equation. Results of the second reg res sio n run to predict va riance in attitude change showed that pretest attitude scores of homemakers accounted for 40.2 8% of the v ari an ce of attitude change and that locus of control change scores predicted 51.35% varia bl e (pC.OOl) of the v ari anc e in the depend ent (Table 20). Table 20. Results of the second r egr ession analysis run to predict variation in a ttitude change 2 Step/ Variable Mu lt ipl e R R FValue Si gn ificance of F Beta 1. Homemaker attitude pretest .6347 .4028 58.69 .000 -.5751 2. Homema ker locus of control change .7166 .5135 45.38 .000 .3379 The other independent va riable wh i c h was included in the second r egr ession run (food recall change of homemakers) did not have a sig ni ficance level (p C.05) high enough to result in entry into the r egr ession equation. The total variance in attit ude c hange ex plained by the independent variables in the first r egr ession run was 9.83%; the total variance predicted in the second regr es sio n run was 91.63%. Several studies w e r e reviewed in this di ss ertation 98 that proposed two models: "attitudes predict dietary change" or "dietary intake predicts attitude change". Results from this study show that most of the va riance in attitude change was accounted for by pretest locus of control scores, locus of control change scores, and pretest attitude scores, but not food recall scores. Therefore the model wh i c h proposes that food recall scores predict attitude change is not supported by this research. These results indicate that nu trition e ducators/evaluators can p redict change in attitudes from pre- to posttesting, using pretest attitude, pretest locus of control, and locus of control change scores of homemakers as predictors. Varia nc e in food recall change was not accounted for by attitude scores (although pretest food recall scores were a significant predictor) indicating that the "attitude predicts food recall change" model does not apply to this sample of low-income homemakers participating in the Michigan EFNEP program. These results indicate that most of the v ariance in food recall change was not predicted by variables included in this study. Variables other than those included in this research should be assessed in an attempt to find predictors of dietary change. Suggestions regarding such research will be discu sse d in more detail in Chapter 5. 99 Results of Data Analysis Related to Attrition If the pretest means of subjects that dropped out of the progr am are significantly higher or lower than persons who completed the prog ram affected. (posttest), results will be By comparing the number of cases (percent) lost from the experimental and co mparison groups and the pretest means of subjects that did vs. complete program participation, those that did not the potential threat of attrition can be determined. The pretest means for subjects that dropped out. of the pro gra m compared to pretest means of respondents that did complete the program (and posttest) are presented in Table 21. Table 21. A comparison of pretest means for subjects that did, and did not, take the posttest. Gr ou p/Variable Attrition Rate Aides: Attitude/ Locus of Control 20.90% Homemakers: Attitude/ Locus of Control 22.10% 79.71 69.21 Food Recall Comparison Group: Attitude/ Locus of Control Pretest Means Graduates Dropouts 13.50% 100 80.73 71.21 44.48 48.75 70.06 70.56 There was a higher percentage of dropouts in the experimental (22.10%) than the comparison groups This is probably due to differences in the programs. the WIC program the client receives food; participants receive education. (13.50%). In in EFNEP Food coupons might provide a stronger incentive to remain in the program than education. Although there was a d if ference of 8.6% between the number of persons that dropped out of EFNEP compared to the non-EFNEP co mparison group, results were not affected by pretest scores of persons who terminated because only matched pairs of scores were used in analyses of data. pretest means of homemakers that did and did the posttest. wer e similar The not complete (Table 21). The pretest attitude means of dropouts vs. completers in the c omp arison group were very similar (Table 21). Pretest scores of WIC clients who did not take the posttest were: low scores 83.3, 66.7, (21.5 and 12.0) on the pretest mean. 60.0, 21.5, and 12.0. The two had a dramatic lowering affect These results indicate that the pretest mean scores for the co mpa ri son group may have been lower if the persons that did not take the posttest had been included in data analyses. This was not this study because pretest scores of persons a threat in w ho did not take the posttest w ere not inlcuded in data analysis. The pretest attitude means of the program aides that terminated employment before the attitude posttest was 101 conducted were similar to pretest means for aides that completed the pre- and posttests (Table 21). In summary, a ttrition was not a threat to results of the data analysis in this study because pretest scores were not included unless a matched po sttest score was available and percentages of persons that terminated program par ticipation were not great enough to affect sample sizes. Summary of Results There were three research hypotheses in this study. The first hypothesis stated that (a) there was no difference between pre- and postte st attitude scores of the experimental group (homemakers enrolled in E F N E P ) , (b) there was no di fference between posttest attitude scores of the experimental vs. c om parison group and no d iff erence between change in food recall (c) there was scores of homemakers with low vs. high pretest attitude scores. Results of t-tests and ANOVA indicated that homemakers attitude (p=.001) and food recall scores (p=.001) showed significant improvement from pre- to posttests and that attitude posttest scores si gnificantly greater (p=.001) (p=.05) than p os ttest or change scores of the comparison group. study, parts rejected. (a) and and change scores were Based on findings of this (b) of this hypothesis can be Results of t-test analyses indicated that homemakers w ith low pretest attitude scores did not show significantly more change on the food recall posttest 102 (p= .126). Based on this finding part (c) of the first hypothesis can be retained. The second re search hypothesis stated that attitude and food recall change scores of EFNEP homemakers were not correlated. C or relational analyses indicated that homemaker change scores on attitude and food recall variables were not corre lat ed indicating that the second research hypothesis can be retained. The third research hypothesis stated that independent variables entered into the regression e qu ation would not account for variance in attitude change. Part, (a) food recall change or (b) (a) of this hypothesis can be retained for all independent variables except pretest food recall scores of ho memakers whi ch accounted for 57.88% of the variance in food recall change. Part (b) of the hy po thesis can be rejected for pretest and change in locus of control scores and pretest attitude scores of homemakers and retained for instructor years of experience, pre te st food recall of homemakers, pretest attitude scores of instructors, change of homemakers. and food recall The amount of v ari anc e in attitude change whi ch was accounted for in the first reg ression run was 9.83%. The total pre di cti ve abil it y of the variables entered into the re gre ss ion equation in the second run was 91.63%. Only v ariables that were not correlated w ere used wi t h i n a single reg res si on run. 103 STRENGTHS A N D L IM IT ATI ONS OF THE STUDY The usability of results of attitude assessment depends on the val idi ty and reliability of the instrument used. Matheney et al., (1987) suggested that failure to verif y va lid it y of attitude measures has severely limited the interpretation of research findings in the area of attitude assessment. measurement Steps must be taken to insure that instruments address the c onstruct of interest by including expert r e vie w or factor analysis in the instrument d e v e l op me nt stages. deter min e if the instrument It is also necessary to is usable with the identified population and if it dem ons tra te s reliability. Sims (1981) of attitudes. examined issues regarding the measurement She suggested that attitude assessment can be strengthened by using instruments that measure a common dimension, are reliable (consistent), and valid (measure what they are supposed to measure) . Sims stated that, methodological factors such as re liability and validity also influence the strength of the co rrelation between attitude and behavior (dietary c h a n g e ) . Va li dit y and Reliabi li ty of the Measu re men t Instrument A strong point of this study was that appropriate steps were taken in the p re li min ar y research and pilot, test stages of this study to insure that the attitude and locus of control instruments were valid, a p propriate for use with EFNEP clients. 104 reliable, and Content va lidity is the degree to wh ich test items represent a specific domain 1967). In this study, (construct) (Shaw and Wright, content val idity was verified in the development stages of the attitude instrument by expert reviewers. Construct v al idi ty is demonstrated if persons w ith differing attitudes a ctu all y respond d i ffe ren tl y on the attitude measure i.e., the measure discriminates between defined criterion groups in the expected direction and Wright, (Shaw 1967) . A val id scale consists of items that yield different scores for high vs. low scoring groups (a high di scr imination i n d e x ) . Construct val id ity in this study was determined during pilot testing by comparing item means of homemakers with high vs low scores. Threats to Internal Va li dit y Threats to internal validity include history, maturation, and selection (Campbell and Stanley, 1963). Use of the comparison group minimized the threats of history and maturation. A control group could have been formed by delaying e nro llment to a grou p of eligible persons and adminis ter in g the assessment to this group when the experimental group was tested. Ra ndom assignment of subjects to such a control group would have controlled for the threat of selection. in this study because This procedure was not used it was considered to be unethical to keep potential EFNEP clients from entering the program for 105 the eight-month period that data were collected. It is likely that negative feelings wou ld be formed by w i thh old in g enrollment, which could affect scores of the control group. Attr it ion of the "delayed entry group" would probably be high due to loss of interest during the w aiting period. For this reason, the threats of history and ma tu ration were con trolled by using a comparison group formed using clients from the Supplemental Food Program for Women, Infants, and Children selection into EFNEP vs. (WIC). The threat of non-EFNEP groups could not be controlled because subjects were self-selected rather than randomly assigned to co mp ari son and experimental groups. The threat of selection into pretested vs. non-pretested groups was controlled by randomly assigning subjects (by county for the experimental group and by alternation for the comparison g r o u p ) . To determine if "selection" confounded results, pretest scores of the experimental and comparison groups should be compared (Campbell and Stanley, were in this study. Results of the t-test 1963), as they (Table 5) indicated that p retest attitude and food frequency scores for the experimental and com parison groups were not. significantly d i f fer en t indicating initial equivalence of groups. A limitation of all attitude m eas ure me nt which poses a threat to internal va li d i t y is the time lag between the message (educational intervention),a formation of new 106 attitudes, changes. intent to change, and subsequent dietary These steps related to the change process might or might not occur w it hin the time of the educational intervention and assessment. Changes in attitude or food recall scores are used as evaluative measures to determine program effectiveness. from the educational However, attitude change resulting experience continues to evolve after program pa rticipation has ended. acted as the initial stimulus. attitude and food recall The program has only Therefore, posttest scores might underestimate positive changes resulting from prog ram participation. Connell et al. scores (1985) suggested that posttest attitude "are the result of a relatively brief exposure to instruction." Posttest as sessment scores may underestimate the actual effect of the intervention on attitude and dietary change for this reason. "Holding the program accountable for having a strong immediate effect would be unfair" (Henerson et al., 1978). The assessment of attitudes uses indirect measurement. Campbell and Stanley (1963) stated that "Attitude is a hypothetical or latent variable, rather than an immediately observable variable. Attitudes constantly fluctuate depending on the time of day, influence of others, other factors." changes in related attitudes, and "An attitude is not something we can examine and measure in the same way we can measure the heart rate. We can only infer that a person has attitudes 107 by her words and actions" (Henerson et al., 1978). Since it is not possible to measure attitudes directly, assessment of them is based on self-reported responses given item statements as a stimulus. These self- reports vary d epending on the hone sty of the respondent and their ability to understand the statement and to categorize their attitu de s into fixed response choices. There is an as sumption that it is valid to accept a person's responses about their own attitudes as accurate indicators of the attitude. obtained overestimate It is likely that scores true attitudes because of the tendency for people to represent their attitudes as more positive than they ac tu all y are. The food recall food intake. instrument is an indirect measure of The a cc uracy of this measure depends on honesty of s el f-reported food consumption, the respondent to recall foods consumed, the ability of and the accur ac y of the data collector to e stimate number and size of servings of food consume d based on the information supplied by the respondent.. It is not. possible to disti ngu is h whether im provement in food recall scores represents actual d i e ta ry change or whet he r nutritional kn owledge which was acquired in the educational program is applied to the reporting of foods consumed i.e., the desire to please the investigator by reporting consumption of foods known or p e r cei ve d to be "nutritious". The va lidity of these instruments also depends on whether the 108 data collectors introduced bias when obtaining or reporting information from subjects. A lt hough aides were told that scores of homemakers would not affect evaluation of their job performance, there might have been a tendency to encourage positive responses on the attitude measure. Interpretation and usabi lit y of the results of data collected from the food recall instrument is limited due to these we akn ess es w h i c h pose a threat to internal validity of the food recall instrument. The procedures for scoring and the jus tification for use of the 24-hour food recall instrument are presented in Cha pte r 3, pp. 72-73. Threats to External Val id i t y External va li dit y is the extent to which results can be g eneralized to, or across, persons, settings, or times. External va li dit y can be maximized by ra ndom selection of subjects from the unive rs e to wh ic h the investigator plans to generalize. In this study, data were collected from all consenting pa rti cipants who were e nrolled in the Michigan EFNEP during a specific time period. Although it is desirable to ge neralize results of this study to EFNEP clients in all states, results can only be general iz ed to participants in the Michi gan progr am because subjects were not randomly selected from all states. Response set is a threat to external validity. Orne (1962) stated that any feature of a research setting or procedure that might indicate to the subject h o w they should respond affects responses 109 (response s e t ) . Answers that will please the investigator might be given instead of true responses. (acquiescent), o r If someone wa nted to appear agreeable if they want to "go along with" socially acceptable response, the they might select primarily the "agree" response category. Another type of response set is when the respondent does not read the item statements but simply indicates their reponses by marking a single response c at egory for all items. This type of response set can be minimized by wording items pos itively and n ega tively and placing them randomly on the questionnaire. The surveys can be spotchecked to deter mi ne if this type of response set is a threat to validity. Review of the questi on nai re s by the primary research investigator indicated that multiple selection of a single response did not occur on the attitude assessment. However, it is ve r y likely that acquiescence and pe rceived social d es ira b i l i t y of responses were confounding factors in this research. The socially acceptable answer is frequently obvious on an attitude measure, and that response might be selected even though it does not represent the respondents' attitudes. Interest in p le asing the investigator mi ght have affected results, esp ecially on the p os ttest because of the close relationship that might have bee n e st abl ish ed between the aide and the homemaker. The measu rem en t setting was not h i ghl y standardized and poses a threat to the external v ali dit y of the study. 110 Although instructors wer e provided w ith group training regarding data c o l lec ti on procedures, a d mi nis tr ati on of the survey was cond uct ed on an individual basis in the clients' homes. Many factors could have affected homemaker responses including: interruptions from children, fluctuations neighbors, or phone; environmental conditions or noise of the week; level; in time of day; day and events that occurred in the home on the day of the testing. Aides conducted data c ol lection at various times of the day and week. be controlled. This v ari abl e could not It is possible that time of the month related to receipt of food stamps may have co nf ounded the results of the 24-hour food recall. Reliability is the ability of the m ea su rem ent instrument to ma intain stability and consist en cy over repeated use. Stab ili ty is measured by correl at ing scores from subsequent tests. Internal c ons is ten cy is measured by correlating item means withi n a single test a dministration (Carmines and Zeller, coefficient of rel iab il ity 1979). The K-R 20 (Kuder and Richardson, 1937) was used in this study to deter min e the r eli ab ili ty of the attitude measure. Beca use the K-R 20 method is based on a dichotomous system of scoring, it underestimates the true reliability of the instrument. The Cr on bac h alpha method of assessing reliab il ity might have been a more appropriate statistical procedure to use. Ill We ak nesses of the Like rt Scale The Likert scale does not have a true zero point (point at whic h attitudes change from positive to negative) and response categ ory intervals are not demonstrated to be equal (Shaw and Wright, 1967) . The "undecided" response choice is not a true zero point. A respondent might choose this response category for a varie ty of reasons: because they have no opinion regarding the statement, because they have some positive and some negative feelings regarding the statement, or if they have not thought enough about the issue to select a response that indicates agre em ent or disagreement. The Likert scale makes the assumption that the distances between response categories agree, no opinion, equal. disagree, (strongly agree, and strongly disagree) are It can be assumed that "strongly agree" has more "agreement" than other response categories, but it. is not known if the distance between all response categories is equal. Because equal intervals cannot be verified, Likert scale is an ordinal, rather than interval, the scale. An assumption in the use of parametric statistics is that the scale is interval or ratio level However, analysis, parametric statistics ANOVA, commonly used, (not ordinal). (t-tests, regression Pierson product moment correlation) are rather than the less powerful non- parametric tests, in analy zin g data coll ect ed using the 112 Likert scale. N on - p a r a m e t r i c tests do not assume that the scale has equal intervals use with ordinal (i.e., level s c a l e s ) . parametric statistics are used, statistic, they are appropriate for But when the nonthe strength of the and ther ef ore the c onclusions made from the results, are weaker. More specific information can be obtained when p a r a m etr ic statistics are used, but the assumptions u n d e rly ing the use of the tests are not co mp letely met (Blalock, 1974). "The appro pr iat en ess of a given statistic is co nditioned by the nature of the scale against which measurements are m a d e ... Having measured a set of items by making numerical a ss ign men ts in accordance with a set of rules, we are free to change the assignments by whatever transformations will p re serve the empirical information on the scale...the empirical operations that underl in e the scale d etermine what tra nfo rm ati on can be made without sacrifice of information, transformations determine, statistical measures" and the permissable in turn, (Blalock, On the other hand, the appropriate 1974). B o h r n ste dt and Carter (1971) argue that regression analysis is so robust that the assumption of equal intervals is not a serious limitation of data analysis when the L ike rt scale is used. It is the o pinion of this r es earcher that use of pa ra metric statistical p roc edures regr ession analysis, (t-test, ANOVA, Pear son p r odu ct- mo men t correlations) 113 is justified to analyze these data even though Likert scale intervals have not been demon st rat ed to be equal. The ordering among response categories is preserved by applying weights (e.g. 1-5) and using the scores obtained in data analysis procedures. Rationale for Use of the Likert Scale In the second field test of the attitude instrument, two d i ffe re nt response formats were used, a five-point Likert scale and a magnitude e sti mation scale (Appendix L) The same item statements were used on both versions of the survey; only the method for selecting responses varied. These two versions of response format were used to determine w h i c h scale would result in a minimum loss of information and be easiest for aides and homemakers to use. With the m agnitude estimation scale, the homemakers could assign any value from zero to ten to their response depending on strength of a greement w ith the item statement. This type of scale has the highest potential for c ol lecting exact response information. require the re spondent to "force" It does not their answers into fixed response categories as does the Likert scale. Another advantage of the magnitude e sti mation scale is that it is a true interval scale wh ich satisfies the assumption needed to justify use of parametric statistics 1981). The Likert scale is an ordinal intervals are assumed. In theory, 114 scale; (Lodge, equal the magnitude estimation scale is superior to the L i ke rt scale, but this was not the case when it was used w ith this population. Although homemakers w er e instructed to select a number from 0-10 to express their level of a greement or disagreement w i t h an item, they almost exclu siv el y selected 0, 5, or 10. This limitation resulted in a greater loss of true response information than with the Likert scale which included five fixed response categories. Although the magn itu de es timation scale has the advantage of being interval rather than ordinal, the potential information, and has to c o l lec t the most accurate response it is not as effective in e liciting response information from the EFN EP po pulation as the Likert scale. Therefore, a five-point Likert scale was selected for use in this study. 115 C H A P TE R 5 REC OMM EN DAT ION S Based on the findings of this research, this author has several re commendations to make r egarding inclusion of the affective domain in instructor training and implementation and eval ua tio n of n utrition education programs. In addition, recommenda tio ns related to the assessment of attitudes and die ta ry change are presented. Implementation of N ut r i t i o n Education Programs To effectively promote improvement in attitudes toward dietary change, the nutrition education intervention should include an a ffective-based component. An objective of instructors and supporting materials should be to assist clients w it h formation of positive, and replacement of negative, attitudes. Instructors can as sist homemakers through the process of improving attitudes toward d ietary change and in making dietary improvements using a c ombination of the following methods. Planning sessions w her e the learner and instructor specify goals to be reached by program co mp letion related to dietary change could be c onducted at the begi nni ng of the lesson series. The food recall pretest could be used for d i s cu ssi on purposes during this 116 goal-setting procedure. Circumstances wh i c h influence current dietary patterns such as environmental cues which trigger positive or negative diet ary behaviors should be identified. Instructors can provide e nc ouragement and reinforcement to facilitate the m o d ifi cat io n of existing attitudes and dietary behaviors. In EFNEP, integration of new attitudes and behaviors into the existing cognitive framework can be promoted by encou ra gin g the participant to discuss attitudes using the compl ete d attitude/locus of control pretest as a stimulus for such a discussion. Ev al uation of changes in attitude and dietary behaviors should be conducted after pa rticipation in programs which include an affective- and b eh avior-based intervention. It is likely that greater changes in attitude would result if instructors were trained in use of methods to promote positive changes dietary intake. in attitudes and In the past many programs have taught p rimarily c og nitive-based information, but have used the food recall instrument in addition to a knowledge assessment to determine impact of program participation. Changes on the food recall from pre- to p o stt es tin g might be due to several factors. Additional ass essment using methods which assess diet ary behavior, rather than reports of "foods eaten yesterday" are needed. It is the recommendation of this author that it is time to go beyond the use of the food recall instrument as a measure of dietary change, and include instruction and assessment 117 related to die tar y behav ior change. Instructor Training Instructors need a strong system of support in working to promote positive changes in attitudes and dietary behaviors. T hey might be fru strated from w o r ki ng in a situation where attempts to promote attitude and dietary change are neg at ed by many factors whi ch are not within the control of the instructor. Instructors need to be reminded that their teaching r es pon si bil ity is to provide information, activities, and en cou r a g e m e n t to promote positive changes in attitudes, skills, and dieta ry behaviors, but they c a nn ot assume the ch ange process for the learners and should not feel def eated when clients do not choose to implement changed attitudes and behaviors. Training for instructors should include information regarding the r e l at ion shi p be tw een att itude and dietary change and include training in use of motivational techniques to assist clients to improve attitudes and behaviors. Techniques to a ssist in ma nag in g job-related frustrations should be included for instructors, EFNEP aides. such as This type of infor ma tio n/ sup por t has been provided through inservice w o rk sh ops in Mi chigan EFNEP. Ass ess me nt of A t t i t u d e s : Future Re search Investigations Several investigators (Appendix A) have reported that attitudes are one of the factors that influence diet ar y change. But quan tit at ive a ttitude as se ssm ent data in EFN EP 118 which has resulted in insufficient p r o gra m ev alu ati on data needed to determine if this program is improving attitudes of participants. E va l u a t i o n of major objectives in Ex tension programs is increasingly important as federal a p propriation of f unding is steadily threatened. situation demands tha t funded programs, valid and reliable a tt itude instruments, used in this study, This such as EFNEP, use such as the one to col lec t specific information on a regular basis to d e te rm ine if the pro gra m results in positive attitude changes in partic ipa ti ng homemakers. The results of this study should be used to formulate recommendations add r e s s i n g internal a c c o u n ta bil ity needs regarding ongoing p r o gr am management d ecisions such as training needs of instructors, need to assess attitudes of potential instructors and clients, and to de termine the need for mod ifi ca tio n in the teaching methods and materials to promote po sitive attitude and die tar y change of prog ram participants. Additional resear ch is needed to determine w hat factors influence the abi lit y of EFNEP instructors to w o r k eff ec tiv el y with this population (i.e., promote positive changes in attitudes and dietary behavior). Results of this study p rovide ev idence regarding the effect of p r o g ram par tic ip ati on on at ti tud e improvement related to the general cons tr uct "attitudes toward dietary change." It appears that there might be more than one construct w i t h i n this general construct such as: 119 moti va tio n to change dietary behaviors, importance of making p rc ived improvements in d ietary behaviors, and pe rceived benefits of making dietary improvements. A factor analysis could be conducted to dete rmi ne if this is true. If other factors emerge, m ean item scores could be grouped according to these constructs w h i c h wo u l d provide additional information for use in prediction of diet ary change. Use of Multiple Factors to Predict Dietary C h a n g e ; Future Research Investigations Several models have been p roposed Carlson, 1978) 1956; Rosenberg, (dietary change) predict attitude change. and Sims, A c cor di ng to results of this attitudes did not account for any of the varia nc e investigator, recall 1975; 1956; and for die tar y scores to in food recall change scores. this, Schwartz; Brehm, to explain the abi lit y of a ttitudes to predict behavior study, 1960; (e.g. It is the opinion of this based on results of regression analysis from and other studies, that most of the va riance in food scores is accoun ted for by factors other than attitude. Altho ugh a tt itude ch ange may be an important objective in nutrit io n education programs, these results indicate that dietary change is influenced by various de te rminants in a ddition to at ti tud e that were not assessed in this study. that locus of control in attitude. Results of this research indicate is one factor that influences chang e Other factors might include: 120 past ex per ien ce (failure) in implementing positive dietary changes, poor self esteem, perce iv ed importance and benefits of making dietary changes, action). and normative beliefs This author recommends inclusion of items to evaluate these factors Heider (1975), (Theory of reasoned in future research. (1958), Bern (1970), and Schafer and Yetley suggested that tension (cognitive dissonance) is produced when stability related to existing attitudes and behaviors are disturbed. It is likely that homemakers' resistance to change attitudes or die tar y behaviors is to avoid conflic t bet wee n existing attitudes and behaviors and those promoted by the instructor or program materials. Although subjects might agree with attitude item statements regarding the importance and perceived benefits of changing, r elu ctance to adapt new behaviors may account for the lack of a positive correl at ion between attitude and food recall change scores. Expecting signi fi can t positive attitude and die tar y change might not be realistic, esp ec ial ly if program pa rticipation is short and if the progr am does not train instructors in use of methods for promotion of attitude and dietary change. transportation, Immediate problems famil y interactions, (e.g., housing, and healthcare) often demand the immediate attent ion of p rogram participants with limited incomes; priority. die ta ry change may not be a It is the opinion of this author that whet her learners improve attitude and food recall scores after 121 participating in nu tr i t i o n education programs, EFNEP, such as depends on the level of stability in their environment at the time of participation. Valid and reliable assessments to measure factors such as cognitive dissonance, self esteem, and normative beliefs should be d e v el ope d so that a more complete investigation of factors that influence change in attitudes, dietary intake, conducted. and d i e ta ry behaviors can be Results from such an investigation could provide information that could be used, to results from this study, in addition to further understand the relationship bet wee n attitudes toward d ietary change and dietary improvements. In summary, factors w h i c h were included in this research to predict die tar y change were: pretest attitude of the instructor, locus of control of the homemakers (pretest and change s c o r e s ) , attitude of the homemakers (pretest and change s c o r e s ) , years of experience of the instructor, and prete st food recall scores. Future investigations should evaluate the ability of additional factors to predict diet ary change such as: normative beliefs, self esteem, motivation, benefits of making improvements perceived importance and in the diet. Instruments used to assess these factors should be valid and reliable. Results of this study and future research should be used in planning, implementing, and ev aluating effectiveness of nutrition education programs to promote dieta ry change. 122 APPENDICES APPE ND IX ASSESSMENT OF THE RELATIONSHIP BETWEEN ATTITUDE AND BEHAVIORS A SUMMARY OF LITERATURE CITED AUTHOR FACTORS INDICATED** ASSESSMENT MEASURES food preparation, ethnicity, perceived food use, knowledge Baird and food use (a) Schutz (1976)* 24-hour food recall (b) food habit change (b) consistency between attitudes and behavior Brehm (1956)* evaluation of products selection of a product (a) (b) Brush et al. (1986) nutrition knowledge (k) flexibility of attitudes toward nutrition (a) length of program high pretest scores ByrdBredbenner et al. (1984) caring about nutrition (a) eating new foods (a) nutrition affects health (a) learn about nutrition (a) food frequency (b) measurement limitations, length of program, lack of control over food choices Carruth et al. (1977)* flexibility to change (a) flexibility of attitudes age nutrition practices (b) observed nutrition practices requests for literature (b) knowledge about weight loss (k) personality questionnaire Cosper and Wakefield (1975) trying new foods motivation (a) food choices (b) preferences of husband/child personal food preferences recommendations of health care professionals (a) Daelhousen and 3-day food record (b) Guthrie (1982) 24-hour recall (b) nutrition during pregnancy high pretest scores (a) Dalton et al. (1986)* food choices (a,b) intended food choices specificity of the measures, influence of others, taste, health beliefs Davie et al. (1973)* powerlessness-teacher (a) food recal1-learner (b) job experience (b) job experience, measurement limitations * ** (a) (b) (k) a positive correlation was reported between attitude and behaviors factors accounting for results reported in studies cited = assessment of attitudes = assessment of food/nutrition behaviors (dietary change) = assessment of knowledge 123 AUTHOR ASSESSMENT MEASURES FACTORS INDICATED Fazio and Zanna (1978)* experience as a subject (b) attitudes toward research participation (a) direct exp ience 24-hour beverage recall (b) specificity of the Guiry and B iso gni (1986)* beverage frequency list (b) measurement instrument limiting coffee consumption(a) caffeine consumption during pregnancy (a) knowledge about caffeine (k) Hollis et al. (1986)* diet habit survey (b) powerlessness (a) cardiovascular risk medical symptoms age, powerlessness medical risk cardiovascular risk Kaplowitz and Olson (1983) breastfeeding small sample size non-personal program Kok et al. (1982)* cardiovascular disease (a) knowledge about cvd (k) 24-hour food recall (b) significant others, knowledge difficulty in changing habits taste, existing attitudes and behaviors Kutner et al. (1952) willingness to serve a racially mixed party (a) serving a racially mixed party (b) inconsistency between attitudes and behavior LaPiere (1934) providing lodging to inconsistency between Chinese people (b) attitudes and behavior attitudes toward providing lodging to Chinese people (a) learning Looker and Shannon (1984) density nutrient nutrient (a,k,b) about nutrient (a) dense foods (k) density of foods message characteristics high pretest scores attrition (b) Maiman et al. (1979)* weight loss experience (b) ways to lose weight (k) attitudes about obesity (a) O'Connel1 et a l .(1981)* Commitment to teach nutrition (b), importance of nutrition (a) favors nutrition education(a) Penner and teaching nutrition (a) Kolasa (1983)* my teaching nutrition (b) my own nutrition (b) 124 personal experience experience teaching nutrition time available high pretest scores experience teaching nutrition FACTORS INDICATED AUTHOR ASSESSMENT MEASURES Perron and Endres (1985) 24-hour food recall (b) 48-hour food record (b) attitudes about nutrition nutrition for the athlete Peterson and Kies (1972)* teaching nutrition (arb) school lunch (a) general nutrition (k) consistency between attitudes and behavior Picardi and Porter (1976) health concerns (a) food choices (b) nutrition knowledge readiness to change length of program existing attitudes/behavior, lack of control over food (a) choices (a) (k) Ramsey and Cloyd (1979) powerlessness (a) use of agencies (b) 48-hour recall, mother and child (b) Reames (1985) Infant feeding knowledge previous experience recommendations (b) attitudes about breastfeeding Regan and Fazio (1977)* petition signing Ries and Schoon (1986) nutrition and health (a,k) length of program high pretest scores effect of pretesting Rosander and Sims (1981)* locus of control (a) food frequency (b) food's effect on health affective-based intervention Ross general nutrition (a) high pretest scores nutrition education in (regression toward mean) nursing school (a) role of the nurse in nutri­ tion education (a) role of hospital dietitians ( ) nutrition principles (k) (1984) Schafer (1978)* direct experience (b) dietary adequacy (b) empty calories consumed personal/socia1 factors 125 husband's education, readiness to learn (change), teacher-learner relationship (b) (a) personal food preferences, self-concept, values/beliefs, cost, convenience, knowledge, health of the family, media, weight/appearance, self­ health, nutritional value FACTORS INDICATED AUTHOR ASSESSMENT MEASURES Schwartz (1976)* attitudes toward counseling, counseling practices (b) meal planning/preparation, use of publications (b) affective-based intervention attitudes toward meal planning, food preparation, eating habits, counseling (a) Sims general nutrition (k) nutrition is important (a) vitamin supplements (a) meal planning is important (a) meal preparation is enjoyable (a) one-day food record (b) (1978)* Sunseri et al. (1984) nutrition knowledge (k) attitudes about nutrition heart-healthy eating and shopping practices (b) Yperman and Vermeersch (1979) importance of nutrition(a) variety of foods eaten (b) nutrition knowlege (k) parents' food preferences friends' food preferences 126 knowledge readiness to change (a) length of program reading level family involvement mother's education, family/friends preferences parents attitudes APPE N D I X B M ICHIGAN STATE UNIVERSITY tm iv ia s iY c o M K rrm on n u u i ■AST LANSING • M ICHIGAN • « N IM in v o l v in g HUMAN (U ^IC T S (UOHHS) XM ADMlNmMATION M U M N C (SIT) SSS-1 I M April 3. 1986 ficCciVrD *.:-8 4 i-JW Ms. Anne Murphy-Roy 202 Wills House Expanded Nutrition Dear Ms. Murphy-Roy: Subject: Proposal Entitled, "The Measurement of Attitudes and Behavioral Intentions of Participants and Instructors in The Expanded Food and Nutrition Education Program" I am pleased to advise that I concur with your evaluation that this project is exempt from full UCRIHS review, and approval is herewith granted for conduct of the project. You are reminded that UCRIHS approval is valid for one calendar year. If you plan to continue this project beyond one year, please make provisions for obtaining appropriate UCRIHS approval prior to April 3, 1987. Any changes in procedures involving human subjects must be reviewed by the UCRIHS prior to initiation of the change. UCRIHS must also be notified promptly of any problems (unexpected side effects, complaints, etc.) involving human subjects during the course of the work. Thank you for bringing this project to my attention. future help, please do not hesitate to let me know. Sincerely Henry E. Bredeck Chairman, UCRIHS HEB/Jms cc: Dr. Jenny T. Bond MSU i t mt A fftrm s tn * M tto n /E q u s i Q pponm uty 127 hiMaiiM If I can be of any COOPERATIVE. EXTENSION SERVICE MICHIGAN STATE UNIVERSITY • U.S. DEPARTMENT O P AGRICULTURE * COUNTIES COOPERATING Expanded Nutrition Program 203 WWa Ho u m Em i LanMng. Ml 46S24 317-3534102 Consent Form: Program Participants I, __________________________ , agree to participate in a project to determine poeoples’ feeling about nutrition which Is being conducted by the Expanded Food nd Nutrition Education Program (EFNEP). The purpose of this project Is to learn more about opinions of people 1n this program regarding changing food habits. I understand I will be asked to respond to several questions about how I feel about making changes 1n my life, especially related to food habits. I understand that I am free to decide not to participate. I may choose not to answer any or all of these questions and I will still be able to receive nutrition lessons for the nutrition Instructor. I understand that my responses will be treated condldentlally and that all Information about me will be anonymous. Hy name will not be used In any part of the project. General results of the project will be avialable to me at my request. Signed___________________________________ Date_____________________________________ HSUmmmAffirmttui 128 Offnmmtyhun$mtwm I [COOPERATIVE. EXTENSION I SERVICE MICHIGAN STATE UNIVERSITY • U.S. DEPARTMENT OF AGRICULTURE 6 COUNTIES COOPERATING Expanded N utrition Program 202 WKia Housa Eaatlanaing, Ml 40824 Phooa: 517-353-0102 Consent Fora: Program Instructors I, _____________________________ , agree to participate In the project to measure attitudes of Instructors and participants 1n the Michigan EFNEP program. I understand that the purpose of this project Is to determine how participation In the program affects attitude of low>1ncome homemakers and to Identify how attitudes are related to behavior change of participants. As a participant In this project I realize that I will be asked to fill out a written survey at the beginning and end of the project. I understand that I am free to decide not to participate and 1f I choose not to, It will have no Influence on p*y employment status with the Cooperative Extension Service. I may also decline to answer any questions I find unacceptable. I understand that my responses and all Information about me will be treated 1n strict confidence and that 1 will remain anonymous (all Information will be coded by number). General results of the study will be made available to me at my request. Signed ______________________________________ Date________________________________________ k tS U t i m 129 t A c d w / f f w r f Oppo n mm r y M i n t ages— APPENDIX DEMOG RA PHI C INFORMATION EFNEP Unit Report Summary (August 1986 - March 1987) HOMEMAKERS: PERCENT OF HOMEMAKERS FACTOR Average length of particip at ion 0-5 months 6-11 months 12-18 months >18 months 64.02 29.49 5. 10 0. 29 Sex Female Male 97.71 2.29 Racial/Ethnic White Black Hispanic Indian Asian/Pacific 52.74 38. 20 6.83 1.17 1.08 Islander Type of Instruction Individual Group Both 62.44 14.21 23.35 Place of Residence Farms Towns <10,000 10,000-15,000 suburbs >50,000 1.10 11.66 29.59 13.09 44.55 130 PERCENT OF HOMEMAKERS FACTOR Number of Children 10.31 54.28 31.32 4.09 0 1-2 3-5 >5 Monthly Income (?) <438 439-588 589-738 739-888 889-1038 1039-1188 1189-1338 >1338 47.40 19.66 14.07 7.04 5.61 2.08 1.73 2.41 PROGRAM AIDES: PERCENT OF AIDES FACTOR Sex Female Male 97.96 2.04 Race White Black Hispanic Indian Asian/Pacific 41.84 44.90 10.20 3.06 0.0 Islander 131 APPE N D I X PROGRAM DE SCRIPTION The first research objective was to determine the effect of program pa rticipation on attiutde toward dietary change. The homemaker "program" is co nsidered to be the instruction w hi ch occurred between pre- and posttest measurements. For instructors, the "program" consisted of all information related to attitude change whi ch was provided either through inservices or in written materials at the initiation and throughout the study. Instructor Program: 1. Inservice Workshop: July, 1986 Ex planation of the purpose of the project: -attitude improvement is an objective of EFNEP -attitude change has not been assessed to date -the effect of aides' attitudes on attitude and food recall change have not been assessed to date Obtaining informed consent (Appendix B) Assessment of instructors' pretest attitudes Training for data collection. Handout, provided for data collection procedures ("Attitude Survey" p. 131) Presentation of information related to the relationship between attitude and dietary change -effect of e xisting (negative) attitudes of homemakers -attitude formation (direct vs indirect experience) -effect of the learning envir on men t on attitude change -effect of cost, convenience, culture, preferences on food selection and taste -effect of locus of control on behavior -effect of instructors' attitudes on attitude and dietary change of learners 2. Collection of Data 3. (A u g u s t - S e p t e m b e r , 1986) "Effective Aide Techniques" September 1986, p. 132) 132 (Newsletter article, 4. A sse ssment of Instructors' Attitudes (posttest) Homemaker Program: 1. First visit to the homemaker (August-September 1986) Explanation of the purpose of the survey Elicitation of informed consent (Appendix B) Admi nistration of attitude, locus of control, and food recall pretests (Appendices N and P) 2. Participation in individual or small group lessons Number of lessons received depended on results of competency-based assessment instrument 3. Posttest attitude, locus of control, and food recall instruments administered d uring last visit (Appendices N and P) 133 ATTITUDE SURVEY Task 1. Attend inservice to receive trianing in positive attitude change of homemakers. Data Collection Procedures To Be Completed By la. EHE's lb. program aides When 1. July 29 2. Take survey. 2. 3. Begin using survey with aT[ homemakers that enroll in August and September (pre-test). 3. program aides: Muskegon, Berrien, 3. August 1 Genesee, Ingham, and Kent counties September 30, 1986 4. Mail all completed computer forms, a copy of the Food Recall Form, and Family Record to Anne Roy at the State Office 4a. EHE's of counties in #3 4. September 30, 1986 4b. EHE's of ocunties in #6; send recall and Family Record form only 5. Send list of all homemakers who need to take the post-test. 5. Anne 5. October 6. Use survey with all homemakers that took pre-test when they finish lessons (post-test). 6. program aides: Muskegon, Berrien, Genesee, Ingham, and Macomb 6. last lesson (deadline: program aides counties 7. Use survey with all homemakers that began enroll­ ment in EFNEP during August-September when they finish lessons (post-test only). 7. 8. Analyze results 8. Anne NOTE: program aides: Oakland, Wayne, Kalamazoo, Kent, and Saginaw counties 2. July 29 March 30, 1986) 7. last lesson 8. April-June, 1987 If a homemaker takes the pre-test but does not complete the program and takes the post-test, write the date of withdrawl and the reason on the ocmputer form and recall form. TEACHING EFFECTIVE AIDE TECHNIQUES • Use • n o n - a u t h o r 1 1 a r 1 a n approach a Smile! Have a good sense a Avoid a A c c e p t the they are of 'know It all* approach homemakers where humor a a a a Be 'human* E x p l a i n t h a t t h e p r o g r a m Is n o t p a r t of S o c i a l S e r v i c e s a Be of respectful homemakers Use 2 - way a p p r o a c h from homemakers) a Don't become a Don't rush a Become Involved lesson; Involve a Relate saving Praise positive a Answer honestly a Be open overly through minded --Ann EFNEP a . Graduate XX *'T> K k TRIVIA ANSWERS Be rr ien , Ge ne s e e , Ingham, K a l a m a z o o , Kent, Nacomb, Muskegon, Oakland, Saginaw, and Wayne. Eating the lesson In t h e the h o m e m a k e r all l e s s o n money Roy, XX XX 2. friendly changes *'T> 1. considerate (learn E n c o u r a g e b e h a v i o r c h a n g e by u s i n g food p r e p a r a t i o n that reinforces lesson material a and Right Is Basic 135 2 3. 4,300 4. BOS 5. 160 families material to Assistant, APPENDIX PRELIMINARY RESEARCH INTERVIEW SCRIPT AND RESPONSES "The purpose of this Interview le to obteln Information about the attitudes and behaviors of EFNEP homemakers. I will ask several questions. Please answer the questions with the first response that cornea to mind. The information will be used to design a survey which will be used to learn more about the attitudes and behaviors of the people who participate in EFNEP.* QUESTION TOPIC: la. POSITIVE ATTITUDES How would you describe a homemaker that you consider to have positive attitudes about foods and nutrition? - they are there when you make a home visit (not a "no show*) lb. - they are 'ready* for the leaaon - they ask questions, act Interested - they are usually involved with their - they are confident and have a goodself-image in general children What do they (homemakers) say to indicate their positive feelings about foods and nutrition? - they ask the opinion of the aide regarding their food practices - they want to know how to manage their money ao they can be less dependent on social services lc. What do they (homemakers) do to Indicate these positive feelings •about foods and nutrition? - recommend the program to their friends/neighbors - are open to new information, receptive - have good eye contact during a lesson Id. What do homemakers say or do that indicates they think nutrition la Important ? - they ask questions about 'how to feed their kids right* 136 QUESTIOH TOPIC: 2a. WEGATIVE ATTITUDES How would you describe a hoaeaaker that haa negative attltudaa about foods and nutrition? - thay have a "huffy" attltuda - thay don't want tha program but ara raqulrad to participate - thay act Ilka tha laaaona ara "owed" to thaw - thay ara defensive about thalr eating habits - referrals from food banks and "cheese lines" are usually the least motivated hoaeaakers 2b. What do thay say to Indicate thalr negative feelings about food and nutrition? - tha nutrition lessons are a waste of tlae 2c. Vhat do they do to Indicate their negative feelings about foods and nutrition? - thay ara not there for scheduled lessons and do not call to re­ schedule - they don't act Interested In the lessons (watch T.T.) - they are not prepared for the lesson QUESTIOH TOPIC: POSITIVE BEHAVIORS 3a. Think about a hoaeaaker that has positive or good nutritional practices. What does chat person say or do that denonstratea that they have good nutritional habits or behaviors? - they provide feedback regarding improved nutrltloal practices from lesson to lesson - they wake coaaents about their own food habits while they take the knowledge quls - they use recipes provided by prograa aides - they are able to "control" the eating habits of their children - they discuss food preferences 137 3b. What do hoaeaakera lay or do that ladlcataa that thay think laprovlng food praparatlon akllla la laportantT — thay want to know how thay can change food preparation aethoda ao that food ataaps will laat through tha aonth QUESTION TOPIC: NEGATIVE BEHAVIORS 4. Think about a hoaeaaker that haa poor nutritional practlcee. What doaa Chat peraon aay or do thao deaonatratea that they have poor nutritional habita or behavioral - they are not lntereated in trying new foode/reclpea - they don't aak the alde'a opinion about their food habita QUESTION TOPIC: S. POOD SELECTION What do hoaeaakera aay or do that lndlcatea that they think aelectlng and aervlng nutrltloua fooda la laportantT - they think that their chlldran'e behavior la related to fooda eaten QUESTION TOPIC: 6. FOOD SAPETT What do hoaeaakera aay or do that lndlcatea that they think food aafety la laportantT - they like the inforaatlon provided about food aafety if it la not ‘peraonal* - they are "open" to the Inforaatlon In thla area becauae they think it will help then to aave aoney by avoiding waate QUESTION TOPIC: 7a. PROGRAM PARTICIPATION What do hoaeaakera aay or do that indicate! that they think learning about nutrition la laportantT - they aak queatlona when they are taking the qulzzea — they aak "An I doing right when I do..." 7b. What do hoaeaakera aay or do that lndlcatea that they think partici­ pating in EPNEP reaults in laproveaent of dietary habita? - they aay they "eat better" and aave aoney - they are aore open to trying new fooda aa the leaaona progreaa 138 QUESTION TOPIC: 8. POOD BUDGETING What do heaiBiktrt i«y or do that Indicates that thay think learning how to manage food dollars le important? - moat of them want budgeting information more than any of the other information wa teach - they aay that food atampa are lasting longer now than before they began program participation - sonatinas you can see that they have more food available QUESTION TOPIC: 9. MOTIVATION What motivational techniques have you tried that have improved the attitudes of homemakers you have worked with? - use a non-authoritarian approach - smile - have a good sense of humor - explain that the program is not part of social services so they will not feel threatened by our presence in the home - teach lessons using the 2-way approach (be open to learn as well as teach) - bring food items that the homemaker has been hesitant to try. Trying will help them change their attitude towards the food, whereas talking about it does not - praise positive changes they make - always answer honestly - be open minded - relate to the level the homemaker is at - be "human" - respect homemakers - don't get "over-friendly'' - don't rush through the lesson just to get done - get "involved" in the lesson - have a positive attitude about food/nutrltlon - offer support and encouragement 139 QUESTIOH TOPICt 10. SUMMARY How would you deaerlba tha difference In hoacatkari motivated to laarn naw Inforaatlon? that ara/are not - Hoaeaakera can be divided Into two groupe: thoaa that ara really Interested In aavlng aoney and improving food habita and thoaa that faal tha gowernaent owaa thaa food etaape, commodity fooda, and EFHEF leaaona. 140 APPE ND IX TEST ITEMS FOE EEVIEW Fltii* as* eh* attached fora to evaluate th* ability of th*s* lt*a* to ****** attltud** regarding 'dietary change.” 1. I feel ready to learn tor* about food* and nutrition. 2. I have a lot of question* about how to ”eat right.” 3. I an Interested In learning new ways of doing thing*. 4. I would like 5. I consider ayself to be a confident person. 6. I feel good about how ay life Is going. 7. I wish I had nore confidence. 8. Many areas of ay life ara ”out of control.” 9. I do not feel in control of ay to learn lore about nutrition. life. 10. Learning how to aenage ay "food dollars” will help le to have nore control In ay life. 11. I cook about the sane way ay aother did. 12. I consider ayself to be open-nlnded. 13. I generally like to hear new Inforaatlon. 14. I an receptive to new Inforaatlon. 15. I don't like to hear Inforaatlon that la new to ae. 16. I really don't like to change ay habita. 141 P(|« 2 17. Beeiuit of ay low lncoai, I feel trapped In a bad altuatlon. 18. If I try hard, 1 know X can Improve ay life. 19. Learning new Inforaatlon la a waate of time. 20. Old habita are hard to change. 21. I don't have auch trouble "changing ay ways." 22. I want to know If the way X aa feeding ay faally la OK. 23. X like to taite new fooda. 24. I don't like to try new reclpee. 25. I have Improved the way X eat Itfflng the paat year. 26. X aa eating about the eame way now aa X did a year ago. 27. The way I eat could use a lot of lnprovenent. 28. I like to try foods 29. I consider ayself open to new Ideas. 30. There la a lot for ae to learn about nutrition. 31. I do not feel like I aa In control of choosing the foods ay faally eats • 32. How I eat doesn't really affect ay health. 33. X soaetlaes feel like It's too hard to feed ay faally nutritious aeals. 34. I enjoy the responsibility of selecting foods for ay faally. I have never eaten. 142 F«|t 3 35. I like to "toko eharti* of situations. 36. I injor eating many types of food. 37. I would raally Ilka to wake laproveaents In the way I eat. 38. I've been eating the aame way for yeara. 39. I wlah X knew aore about nutrition. 40. I like to cook. 41. I enjoy planning aenua. 42. I like trying new fooda. 43. My parent(a) were not very Intereated In aervlng nutrltioue aeala. 44. I wlah ay faally waa aore concerned with nutrition. 45. I like to aake ■y own declaions about wh a t I eat , but often I eat what everyone elae la eating. 46. For the aoat part, ay huaband/boyfrlend decldea what the faally will eat. 47. The food I eat haa nothing to do with the way I feel. 48. I feel guilty when I eat "Junk” food, 49. I think I know a lot about nutrition 50. I don't feel very aotlvated to ahop for and prepare nutrltloua aeala. 51. I have enough Inforaatlon to aake good food 143 Page i 32. 1 consider ayself to b« 53. Making decisions Is easy for ae. 5A. The way I eat la too strong of a habit to change easily. 55. I often buy certain foods ay faally wants, even If I don't think they are nutritious. 56. My friends opinions about ae are aore laportant than ay own. 57. If snacks are available, I usually eat thea. 58. I don't have such will power. 59. When I "eat right" I am proud of ayself. 60. I overeat aore often than I should. 61. Time I have spent learning about nutrition has been well worth It. 62. I have forgotten aost nutrition Information I have learned. 63. Nutrition Is a boring topic to ae. 6A. I consider myself to be someone who can manage a food budget well. 65. I aa eager to learn new ways to Improve ay food habits. a parson who can aake good decisions. 66. I tend to ask questions about new information I hear or read. 67. I aa not very interested in nutrition. 144 Page 68. 1 am proud o 9. 1 easily 70. I e n joy e a t i n g fruits. 71 . I e n joy e a t i n g vegetables. 72 . I enjoy b e i n g 73. I enjoy d r i n k i n g 7A . Someday 75. I eat too many: (check all that of m y B e l f when forg e t w h a t I l e ar n to do s o m ething better I learn. active. I hope milk I won't or eating cheese. need food 76* apply) stamps. I eat too few: (check all that fr u i t s appl y ) fruits vegetables ______ ve g e t a b l e s meats ______ mea t s milk/milk products ______ m i l k / m i l k products breads/cereals ______ b r e a d s / c e r e a l s sweets ______ n u t r i t i o u s salty foods about 77 . I often talk 78. I'm not convinced that what I eat 79. Teaching children good food habits 80. Eating a variety nutrition of foods 145 to my foods friends. a f f e c t s my is is the key health. Important. to good nutrition. AP PENDIX S p e c i f i c a t i o n s for Development of the L i k e r t Scale The f ol l o w i n g steps should be i ncl ude d in development of a L i k e r t scale (Likert, 1974 and Green, 1978) 1. L is t a large n u mbe r (75-100) of s tat ements concerning the a t t i t u d e to be assesed. L i k e r t (1974) states that items shou ld be such that persons w i t h diffe ren t points of v i e w r ega r d i n g a particular attitude, will respond differently. If people with d i f f e r e n t attitudes respond in the same way, the item is uns atisfactory. Items should r e p res en t fe eli ng s or opinions, not facts. Persons with di f f e r e n t a t tit ud es may respond the same to factual statements. Ea c h item should be clear, concise, and s t rai ght forward, w i t h no d o u b l e - b a r r e l e d statements or d ou ble n eg a t i v e s w i t h i n the item. 2. C l a s s i f y e ach item as "favorable" or "unfavorable" w ith r e gard to the att i t u d e construct. It is desirable to have ab o u t half of the items classified at ea c h end of the c o n t i n u u m to avoid response set. 3. C o n d u c t a pilot test with a sub g r o u p of the population in w h i c h the res p o n d e n t checks one of the following descriptors: a. b. c. d. e. s tro n g l y agree agree undecided d isa gr ee s t r o n g l y disag re e 4. A ss ig n a numerical weight to each reponse (e.g. 1-5). 5. C a l c u l a t e the total attitude score of the individual by s umming the wei ght s associated with ea c h response. 6. C a l c u l a t e the dis cr imination index for each item. Select items w h i c h d i s c r i m i n a t e between high and low scorers, (greatest di f f e r e n c e in means b e t w e e n high and low scorers. 7. C a l c u l a t e reliability. 8. C o r r e l a t e the mean item scores a g a i n s t the total mean to see if the numerical values are p r o p e r l y assigned (item d i f f e r e n t i a t i o n ) . If the c orr el a t i o n between the individual item and the total item m ean is negative, the w e i g ht s a s s i g n e d to responses should be reversed. If the co r r e l a t i o n is zero or very low, the statements may repre se nt a different attitude construct, or may be factual rather than a t t i t u d i n a l . ._ A P PE N D I X ATTITUDE QUESTIONNAIRE REVIEW FORK Item Number Tes 1. Is the Item clearly written for the EFNEP audience? 2. Is the Item free from Irrelevant material? 3. Are the gramnar and punctuation correct? 4. Is the Item worded In such a way that the respondent will feel compelled to select the strongly agree or strongly disagree response (I.e. Is the item written so that there is clearly one socially acceptable response)? 5. Does the item adequately represent the purpose of the Instrument (I.e. to assess attitudes toward dietary behavioral changes)? 6. Is the item appropriate for the EFNEP homemaker? Suggested Revisions: Additional Coements: 147 ______ Questionable ______ No ___ A P PENDIX Aide ID Number: EFNEP SURVEY Directions for the Aide: Before you give this survey to the homemakers, please Indicate whether you think this homemaker has a positive or a ___ non-positive attitude about changing food behaviors (habits). Read all Items to the homemaker (you may have to read some of the items twice). Record the responses on this form. PART A: Directions (read to the homemaker): I will read several statements about foods, nutrition, and changing habits. These are opinion statements; there are no right or wrong answers. We need to know how you feel about these topics so we can improve this program. There are several answer choices. Here 1s a card with the possible answers on 1t. The neutral choice means you neither agree, nor disagree. Please choose the answer that 1s closest to the way you feel. Are you willing toparticipate in this survey? (If yes, go on. Ifno, go on with the lesson.) 1. If I try hard, I know I can improve my life. I I very strongly agree I 2. I disagree 1 1 strongly disagree 1 I disagree I I I I neutral I very strongly disagree I I strongly agree I I strongly disagree I I I neutral I very strongly disagree I have a lot of questions about how to "eat right." strongly agree I I disagree 1 Istrongly agree I I strongly disagree I | | neutral I very strongly disagree I would like to learn more about nutrition. I I very strongly agree I I disagree 6. 1 I strongly agree 1 I strongly disagree I very strongly agree I I very 5. f I very strongly disagree I consider myself to be open-minded. I I disagree 4. I I neutral I cook about the same way my mother did. 1 I very strongly agree 3. I I strongly agree 1 1strongly agree I I strongly disagree I 1 Ineutral I very strongly disagree I think I am a confident person. I I very strongly agree I 1 disagree I Istrongly agree I I strongly disagree 148 | [ 1neutral | very strongly disagree Page 2 EFNEP Survey 7. I feel good about how my I 1 very strongly agree | | disagree 8. life is going. I Istrongly agree strongly disagree I I neutral very strongly disagree Many areas of my life are "out of control." I | very strongly agree | 1 disagree 9. d J strongly agree strongly disagree t ZU neutral [ZU very strongly disagree I generally like to learn new information. I | very strongly agree | | disagree 10. d j strongly agree [^] strongly disagree I neutral I very strongly disagree I would really like to make improvements 1n the way I eat. | |very strongly agree | |disagree 11. I I strongly agree I I strongly disagree I I I neutral Ivery strongly disagree I feel guilty when I eat "junk" food. I |very strongly agree I |disagree 12. I L strongly agree I I strongly disagree 1 Q ] neutral 1very strongly disagree I think I know a lot about nutrition. I |very strongly agree I |disagree 13. I 1 strongly agree 1 1 strongly disagree 1 I | neutral Ivery strongly disagree Generally, I make good decisions. j |very strongly agree I 1 disagree 14. I 1 strongly disagree 1 1 I neutral 1very strongly disagree I feel I am not in control of my life. I j very strongly agree I | disagree 15. I 1 strongly agree I I stcongly agree 1 I strongly disagree I 1 I neutral Ivery strongly disagree It's important to eat nutritious food. I 1very strongly agree I I disagree I [ strongly agree 1 I strongly disagree 149 I I [ neutral 1very strongly disagree Page 3 EFNEP Survey 16. I I've been eating the same way for years. I very strongly agree | | disagree strongly agree CZ] strongly disagree 1 1 neutral I I very strongly disagree 17. I wish I knew more about nutrition. | 1very strongly agree I | disagree I | strongly agree strongly disagree 1 I neutral d ] very strongly disagree 18. I like to cook. I | very strongly agree I I disagree 19. I wish I had I |very 20. I I strongly agree strongly disagree I I neutral d ) very strongly disagree 1 1 strongly agree I j strongly disagree strongly agree 1 Idisagree I | neutral I I very strongly disagree I I strongly agree I I strongly disagree 1 1 neutral 1 1 very strongly disagree I like to taste new foods. 1 Ivery strongly agree 1 [ disagree 1 I strongly agree I | strongly disagree □ neutral I | very strongly disagree I have little trouble "changing my ways." 1 |very strongly agree I |disagree 24. I very strongly disagree I think I am open to new ideas. I j.very 23. I neutral more confidence. strongly agree | Idisagree 22. I 1 I easily forget what I learn. 1 |very 21. Qj] strongly disagree strongly agree disagree 1 I strongly agree 1 1 strongly agree 1 [ strongly disagree I 1 neutral I I very strongly disagree Old habits are hard to change. I |very strongly agree I | disagree I I strongly agree I I strongly disagree 150 I | neutral | 1 very strongly disagree Page 4 EFNEP Survey 25. Making decisions is easy for me. I | very strongly agree I | disagree 26. \ strongly agree I I strongly disagree I I )neutral 1 very strongly disagree Because of my low income, I fee1 trapped in a bad situation. I I very strongly agree I I disagree 27. I I I strongly I I strongly disagree agree I I Ineutral I very strongly disagree I often talk about nutrition to my family or friends. I I very strongly agree 1 I disagree I I strongly | | strongly disagree agree I I Ineutral I very strongly disagree 28. What I eat affects my health. I I very strongly agree I I disagree 29. strongly agree I | disagree I I very strongly disagree agree I \ neutral I I very strongly disagree I I strongly I I strongly disagree agree I I I neutral 1 very strongly disagree I am disinterested 1n nutrition. | | very strongly agree | | disagree I I strongly I I strongly disagree agree I I I neutral I very strongly disagree Learning how to manage my grocery money will help me to have more control in my life. | | very strongly agree | | disagree 33. 1 I strongly I I strongly disagree strongly agree | | disagree 32. I neutral Eating many different types of foods is the key to good nutrition. I | very 31. | | strongly disagree I Teaching children good food habits is important. I | very 30. I I strongly agree I I strongly agree 1 I strongly disagree t I I neutral I very strongly disagree I think I ’m good at managing a food budget. I 1 very strongly agree | | disagree I I strongly agree I 1 strongly disagree 151 I I I neutral I very strongly disagree Page 5 EFNEP Survey 34. I am eager to learn new ways to improve my food habits. | | very strongly | | disagree 35. I 1 I neutral I very strongly disagree I I strongly I I strongly disagree agree I I I neutral I very strongly disagree I often buy certain foods my family wants, even if I don't think they are nutritious. I | very strongly agree | | disagree I | strongly I j strongly disagree agree I I I neutral I very strongly disagree My friends' opinions about me are more important than my own. I I very strongly agree I | disagree I I strongly | I strongly disagree agree I I I neutral I very strongly disagree I have very little will power. I 1 very strongly I | disagree 40. neutral I very strongly disagree I I strongly agree ) I strongly disagree strongly agree | | disagree 39. 1 Q] The way that I eat is a habit that is too strong to change easily. I 1 very 38. I strongly agree I I strongly disagree strongly agree | 1 disagree 37. 1 I like to "take charge" of situations. | | very 36. agree agree I [ strongly agree | I strongly disagree I I Ineutral I very strongly disagree Nutrition is a boring topic to me. I I very strongly agree I I disagree I I strongly agree 1 I strongly disagree [^] I I neutral very strongly disagree 41. Some people consider me tobe a stubborn person. I I very strongly I 42. 1 disagree agree I I I strongly agree I strongly disagree I |neutral very strongly disagree I don't feel very motivated to prepare nutritious meals. 1 | very strongly agree I 1 disagree | 1 strongly agree 1 I strongly disagree 152 I I | neutral | very strongly disagree Page 6 EFNEP Survey 43. 1 I wish my family would be more concerned with nutrition. | very strongly agree | | disagree 44. I enjoy I |very f f planning I I strongly 1 strongly disagree | | | strongly I strongly disagree f~ | very strongly disagree agree | I Ineutral I very strongly disagree agree I I Ineutral I very strongly disagree agree f I Ineutral | very strongly disagree menus. strongly agree I I disagree 1 I strongly | strongly disagree agree I I Ineutral I very strongly disagree 1 like trying new foods. 1 1 very strongly agree I I disagree f 1 I strongly agree I strongly disagree I Ineutral [ ~~1 very strongly disagree My parent(s) were not very interested in nutrition. I I very strongly agree I 1 disagree I j ~| strongly agree I strongly disagree f | |neutral I very strongly disagree I like to make my own decisions about what I eat. I I very strongly agree I [disagree 51. I 1 strongly 1 strongly disagree strongly agree I | disagree 50. 1 neutral Time I have spent learning about nutrition has been well worth it. 1 1very 49. f strongly agree | [ disagree 48. I I overeat more often than 1 should. f |very 47. I strongly disagree strongly agree | |disagree 46. I strongly agree I have enough information to make good food choices. | | very 45. f 1 f 1 I strongly agree I strongly disagree I I Ineutral I very strongly disagree For the most part, someone other than myself decides what the family will eat. 1 I very strongly agree I 1 disagree f I 1 strongly agree i strongly disagree 153 f | |neutral " ! very strongly disagree Page 7 EFNEP Survey 52. I dislike trying new recipes. I | very strongly 1 53. agree | disagree □ I \ strongly strongly disagree | | disagree I I I 1 very strongly agree | disagree □ 1 □ neutral 1 very strongly disagree £ Z ) strongly agree □ neutral d j very strongly disagree I I strongly agree strongly disagree strongly agree 1 disagree □ I 1 neutral very strongly disagree Q 1 I strongly agree strongly disagree 1 1 neutral very strongly disagree Sometimes i t ’s too hard to feed my family nutritious meals. j I very strongly agree 1 | disagree £ZI I I strongly agree strongly disagree Q I 1 neutral very strongly disagree There is a lot for me to learn about nutrition. 1 1 very strongly agree I 1 disagree 60. I very strongly disagree Eating habits are related to health. 1 | very 59. 1 neutral 1 am eating no better now than 1 did a year ago. ] | disagree 58. agree never eaten. strongly disagree 1 | very strongly agree 1 very strongly disagree d ) strongly agree I strongly disagree 55. I like to try foods I have 57. neutral The way I eat could use a lot of Improvement. 1 1 disagree 56. strongly I strongly disagree 1 I very strongly agree | □ dJ 1 have improved the way I eat during the past year. I | very strongly agree 54. agree f I I strongly agree I strongly disagree I 1 I neutral I very strongly disagree 1 enjoy the responsibility of selecting foods for my family. I "1very strongly agree 1 t disagree 1 I I strongly agree I strongly disagree 154 1 1 I neutral I very strongly disagree Page 8 EFNEP Survey PART B: Directions (read to the homemaker): The next set of questions relates to your food choices! Please answer according to how you usually eat. 61. I like to eat fruits. I Ivery strongly agree I I disagree 62. 1 I strongly strongly disagree agree I ( 1neutral | very strongly disagree I like to eat vegetables. I Ivery strongly agree I I disagree I ( strongly agree strongly disagree j 1 |neutral [ very strongly disagree 63. I like to eat neat. I I very 1 64. 1 disagree 65. Q ] strongly disagree strongly agree I disagree agree I 1neutral [ I very strongly disagree 1 I strongly agree strongly disagree I Ineutral verystronglydisagree I like to eat cheese or drink nllk. I [ very strongly agree I I disagree 66. ! I strongly I like to eat bread and other grain foods. 1 I very I strongly agree I I I strongly agree | strongly disagree [^] I I neutral very strongly disagree I like to eat many different types of foods. 1 1 very strongly agree I I disagree f I I strongly agree I strongly disagree 1 I neutral I I very strongly disagree 67. I eat too many: (check all that apply) 1 eat too few: (check all that apply) _ _ _ _ _ fruits _ _ _ _ _ fruits _ _ _ _ _ vegetables _ _ _ _ _ vegetables _ _ _ _ _ meats _ _ _ _ _ meats _ _ _ _ _ milk/milk products _ _ _ _ _ mllk/nflk products _ _ _ _ _ breads/cereals _ _ _ _ _ breads/cereals _ _ _ _ _ sweets _ _ _ _ _ salty foods _ _ _ _ _ nutritious foods 155 A P P ENDIX PILOT TEST INSTRUCTIONS FOR PROGRAM AIDES 1. You will be administering the attitude survey t o 4 o f y o u r regular homemakers during the week of June 16, 1986. Choose 2 homemakers that you feel have a positive attitude about changing food behaviors, and two that do not. It does not matter how long the homemakers have been 1n the program — but 1t Is very Important to choose 2 with positive attitudes and 2 with n o n - p o s i t i v e attitudes. This information will help you decide: A homemaker with positive attitudes toward changing food behavior: • is there when you make a home visit e Is prepared for the lesson • acts Interested, asks questions, maintains eye contact • asks your opinion about their food habits • are confident about their homemaklng skills • are open to new Information; do not act threatened or defensive • tries new foods/redpes A homemaker with non-positive attitudes toward changing food behavior: • • • • o o o is not home when you visit; does not call to reschedule 1s not prepared for the lesson does not act interested in the lesson material does not discuss her own food habits is not confident about homemaking skills is not open to new Information; acts threatened or defensive does not try new foods/red pes Think about these two descriptions, and select 2 homemakers with positive attitudes (as described) that you will be visiting during the week of June 16th. Select 2 homemakers that you feel have non-positive attitudes (as described) that you are scheduled to visit. 2. Before using this survey with the homemakers, take the survey yourself so that: (a) you will become familiar with 1t (b) we can see if the test scores of Aides are higher than those of homemakers (If the survey is a good measure of attitude, Aides should score higher than homemakers. We want to see If this is true.) 3. Use the survey with the four homemakers you have selected. The survey will take about 10 minutes. It should not replace the lesson — just use it before or after your usual lesson. Directions are included on the survey. Notecards with the answer choices are provided. They will help her/him to remember the choices so that you will not have to read them after each item. (The survey used in Muskegon county has just two answers — a or b. No response cards will be used.) If the homemaker chooses not to participate, proceed on with your scheduled lesson and select a different homemaker to use the survey with. 156 4. Read each Item once. Repeat the Item 1f they ask you to or If they have not responded after several seconds. If they begin to talk about the Item, repeat It a g a i n and ask them for their answer. Oo not discuss the statement with them. Do not help them decide. If they do not give you an answer, leave the Item blank. Do not In any way Indicate whether you approve or disapprove of the answers they give. You will be completing a review form on which you will be listing all Items that the homemakers had difficulty with. Please circle or make marks directly on the survey which will help you remember what problems the homemaker had. 5. After comletlng the survey with 4 homemakers, complete the (pink) Review Form. Your comments on this review form are extremely helpful in revising the survey so that it Is appropriate for use with EFNEP home­ makers. 6. Give the completed homemaker surveys and review forms to your EHE. All information collected from this survey will be analyzed so that Aides and Homemakers remain anonymous. No individual names or coirments will be included 1n the results. THANK YOU for your time and cooperation with this Important project. I know this pilot test 1s an extra task in addition to your already busy schedule. It is appreciated! Results of this pilot will be reported at the July 29th Inservice. 157 APPENDIX REVIEW FORM: PROGRAM AIDES What changes need to be made regarding the format of the survey: length _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ layout _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ size of type _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Which items did the homemakers have difficulty understanding? (list item numbers and describe the problem) How did homemakers feel about taking the survey (interested, bored, apprehensive, etc.) How did you feel about giving the survey? Were any items "touchy'1 or not appropriate for homemakers? Were you uncomfortable about any of the procedures or item statements? Are any of the directions, statements, or responses unclear? Did homemakers have difficulty understanding how to choose an answer? Are there any changes you would recommend to make this survey easier for aides to give or for homemakers to take? Thanks for vpur help! APPENDIX L Aide ID Number: EFKEP sunny Directions for the Aide: Before you give this survey to the homemakers, please Indicate whether you think this non-pos1t1ve attitude about changing food homemaker has a ____ positive or a behaviors (habits). Read all Items to the homemaker (you may have to read some of the Items twice). Record the responses on this form. Part A: Directions (read to the homemaker): 1 will read several statements about food and nutrition. These are opinion statements; there are no right or wrong answers. Me need to know how you feel about these topics so we can Improve this program. There are several answer choices. Here Is a card with the possible answers on 1t. Please choose the answer that Is closest to the way you feel. Are you willing to participate In this survey? (If yes, continue with the_____ survey. If no, go on with the lesson.) 1. It's hard for me to use new Ideas. 2. Improving the way I eat is Important to me. 3. Becoming a success 1s a matter of hard work; luck has little to do with It. 4. I feel good about how my life 1s going. 5. In general. 1 feel I am not In control of my life. 6. It isn't easy to make changes In the way I eat. 7. Other people are more 1n control of my life than I am. 8. I've been eating the same way for years. 9. I like to cook. 10. I easily forget what I learn. II. Trying new recipes Is not worth the trouble. 12. I can't do much to improve my diet because of my Income. 13. Mhen I am short of money, I feel trapped 1n a bad situation. 1 often talk about nutrition with my family or friends. 159 Page 2 EFNEP Survey IS. 1 think I'm good at managing a food budget 16. 1 like to "take charge" of situations. 17. Nutrition Is a boring topic to me. 16. 1 am motivated to prepare nutritious meals. 19. 1 enjoy planning meals. 20. 1 Hke trying new foods. 21. 1 have Improved the way I eat during the past year. 22. I enjoy selecting foods for my family. 23. Many times 1 feel that 1t does not do any real good to think about what to do. 24. A person who gets a good job Is just luck to be at the right place at the right time. 25. Much of what happens to me 1s probably a matter of chance or luck. 26. The things that happen to most people are outside their own control. 27. It Isn't wise to plan too far ahead because most things turn out to be a matter of chance anyhow. 28. When things are going well for me I usually think of 1t as a run of good luck. 29. 1 have usually found that what Is going to happen will happen no matter what 1 think or do about It. 30. Most of the things that have disappointed me in my life have come because my luck ran out. 31. Success is mostly 32. a matter of getting good breaks. Many times I feel that I have little Influence over the things that happen to me. 33. Sometimes 1 feel that I don't have enough control over the way my life Is going. 160 Pagt j EFNEP Survey 35. How many times per day do you eat: one two three four five or more vegetables fruit or fruit Juice soft drinks cheese or milk bread or other grain foods meat, eggs, poultry, or fish dried beans, split peas, nuts or peanut butter sweets (cookies, candies, cakes, etc.) 36. Do you take a supplement (vitamin/mineral pills): yes 37. no If so, what type (I.e. vitamin C, protein, multiple, etc.): Thank you for answering these questions. 161 He appreciate your help! Aide ID Number: EFXEP SURVEY _ Directions for the Aide: Before you give this survey to the homemakers, please Indicate whether you think this homemaker has a positive or a _______ non-positive attitude about changing food behaviors (habltsT Rod all Items to the homemaker (you may have to read some of the Items twice). Record the responses on this form. Part A: Directions (read to the homemaker): I will read several statements about food and nutrition. These are opinion statements: there are no right or wrong answers. We need to know how you feel about these topics so we can Improve this program. Choose an answer from 0 to 10. 0 ■ no agreement at all; 10 ■ complete agreement. The more you agree with the statement the higher the number you should give for your answer (up to 10). Five (5) represents a "middle" level of agreement. Please choose the answer that 1s closest to the way you feel. Are you willing to participate In this survey? (If yes, continue with the survey. If no, go on with the lesson.) 10 ■ complete agreement 0 ■ no agreement 1. It's hard for me to use new Ideas. Answer: 2. Improving the way I eat 1s Important to me. Answer: 3. Becoming a success Is a matter of hard work; luck has little to do with It. Answer: 4. I feel good about how my life Is going. Answer: 5. In general, I feel I am not 1n control of my life. Answer: 6. It Isn't easy to make changes In the way I eat. Answer: 7. Other people are more 1n control of my life than I am. Answer: 8. I've been eating the same way for years. Answer: 9. I like to cook. Answer: I easily forget what I learn. Answer: 10. 11. Trying new recipes 1s not worth the trouble. Answer: 12. Answer: I can't do much to Improve my diet because of my Income. 13. When I am short of money, I feel trapped In a bad situation. Answer: 14. I often talk about nutrition with my family or friends. Answer: 15. I think I'm good at managing a food budget. Answer: 162 EFNEP Survey 16. 1 like to "take charge" of situations. Answer: 17. Nutrition is a boring topic to me. Answer: 16. 1 am motivated to prepare nutritious meals. Answer: 19. 1 enjoy planning meals. Answer: 20. 1 like trying new foods. Answer: 21. 1 have improved the way I eat during the past year. Answer: 22. 1 enjoy selecting foods for ny family. Answer: 23. Many times 1 feel that it does not do any real good to think about what to do. Answer: A person who gets a good job 1s just luck to be at the right place at the right time. Answer: Much of what happens to me is probably a matter of chance or luck. Answer: The things that happen to most people are outside their own control. Answer: It isn't wise to plan too far ahead because most things turn out to be a matter of chance anyhow. Answer: When things are going well for me I usually think of it as a run of good luck. Answer: 1 have usually found that what is going to happen will happen no matter what I think or do about 1t. Answer: Host of the things that have disappointed me in my life have come because my luck ran out. Answer: 31. Success is mostly a matter of getting good breaks. Answer: 32. Many times I feel that 1 have little Influence over the things that happen to me. Answer: Sometimes I feel that 1 don't have enough control over the way my life Is going. Answer: 24. 25. 26. 27. 28. 29. 30. 33. Part B: DiretIons (read to the homemaker): 34. How much does each of the following affect whether you buy a food or not. There are 5 choices. Use the number 1 for the answer that affects your food choices the most. Continue to rank by using the numbers 2, 3, 4, end 5. The answer that affects your choice the least should have the number S. cost taste ease of preparation family likes it nutritional value T63 Page 3 EFNEP Survey Pert B: Directions (read to the homemaker): 34. How much does each of the following affect whether you buy a food or not. There are S choices. Use the number 1 for the answer that affects your food choices the most. Continue to rank by using the numbers 2, 3, 4, and S. The answer that affects your choice the least should have the number S. _ _ _ _ _ _ _ _ cost_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ________ ease of preparation '_ _ _ _ _ taste _ _______ family Hkes 1t _ _ _ _ _ _ _ _ nutritional value 35. How many times per day do you eat: vegetables- - - - - - - - - - - - - - - fruit or fruit juice soft drinks cheese or milk bread or other grain f o o d s meat, eggs, poultry, or fish dried beans, spilt peas, nuts or peanut butter sweets (cookies, candies, cake>, etc.) 36. one two three four five or more --------------------------------------------------------------------___________________________________ ___________________________________ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ■— ___________________________________ ___________________________________ Do you take a supplement (vitamin/mineral pills): yes 37. no If so, what type (i.e. vitamin C, protein, multiple, etc.): Thank vnu for answrrino thrsr ouestions. 164 Ue aonreciate vour heln! APPENDIX PILOT TEST: DISCRIMINATION AND DIFFICULTY INDICES Number Item Difficulty Index Discrimination Index 1. It's hard for me to use new ideas 69.7 .30 2. Improving the way I eat is important to me 68.2 .08 3. Becoming a succes is a matter of hard work; luck has little to do with it 71.2 .30 4. I feel good about how my life is going 61.7 .18 5. In general, I feel I am not in control of my life 65.2 .34 6. It isn't easy to make changes in the way I eat 53.0 .30 7. Other people are more in control of my life than I am 65.2 .35 8. I've been eating the same way for years 54.5 .17 9. I like to cook 63.6 .13 10. I easily forget what I learn 75.8 .38 11. Trying new recipes is not worth the trouble 80.0 .22 12. I can't do much to improve my diet because of my income 63.6 .42 13. When I am short of money, I feel trapped in a bad situation 14.9 .05 14. I often talk about nutrition with my family or friends 69.2 .27 15. I think I'm good at managing a food budget 78.5 .38 16. I like to take charge of situations 74.3 .35 17. Nutrition is a boring topic to me 68.2 .17 165 18. I am motivated to prepare nutritious meals 75.5 .17 19. I enjoy planning meals 74.3 .25 20. I like trying new foods 80.0 .08 21. I have improved the way I eat in the past year 74.3 .34 22. 1 enjoy selecting foods for my family 80.0 .17 23. Many times I feel that it does not do any real good to think about what 1 do 24. A person who gets a good job is just lucky 96.7 .38 25. Much of what happens to me is probably a matter of luck or chance 72.7 .30 26. The things that happen to most people are outside their control 74.3 .38 27. It isn't wise to plan too far ahead 59.1 because most things turn out to be a matter of chance anyhow .18 28. When things are going well for me I think of it as a run of luck 69.7 .42 29. I have usually found that what is 72.7 .34 72.7 .17 30. Most of the things that have disappointed me in my life have come because my luck ran out 75.8 .43 31. Success is mostly a matter of getting good breaks 74.3 .50 32. Many times I feel that I have little influence over the things that happen to me 75.8 -.43 33. Sometimes I feel that I d o n ’t have enough control over the way my life is going 66.7 .43 166 APPENDIX N Aide 1.0. No: _______ Aide Code No: _______ Homemaker l.D. ______ Lesson No: ____ _ Aide Experience (years} County EFNEP SURVEY Directions: This survey has three sets of questions. The first part deals with your opinions about some general areas. The second part asks for your opinions about nutrition. The last part relates to your usual pattern of eating. Please answer all questions based on how much you agree or disagree with the statement. There are no right or wrong answers since this survey 1s about feelings and opinions. All responses will be treated confidentially. PART A: General Questions 1. 1 feel good about how my life 1s going. 2. Success is mostly a matter of getting good breaks. 3. I like to "take charge" of situations. 4. Much of what happens to me is probably a matter of chance or luck. 5. The things that happen to most people are outside their own control. 6. In general, I don't like to make changes. PART B: Nutrition Questions 7. Improving the way I eat 1s important to me. 8. I can't do much to Improve the way I eat because of my Income. 9. 1 often talk about nutrition with my family or friends. 10. Nutrition 1s not a priority in my life. 11.' 1 am motivated to prepare nutritious meals. 12. The way I eat now doesn't need improvement. 13. It would benefit me to improve the way I eat. 14. Nutrition 1s a boring topic to me. IS. There are not enough advantages to improving my diet to make it worth the effort. 167 PART B: Nutrition Questions (cont.) 16. There are many things 1 am more concerned with than Improving my eating habits. 17. How convenient a food Is to prepare affects whether I use 1t. 18. The price of a food affects whether I buy It. PART C: Food Habits Write the number 1 next to the answer that 1s the most Important reason you choose foods as you do; give a number " 2 " to the seocnd most Important reason; and use "3" for the least Important reason. 19. How do nutritional value, taste, and cost affect your food choices? (1 ■ most Important; 3 * least Important) taste/flavor ____ nutritional value ____ cost 20. The Improvements I have made In the way 1 eat have been: (1 * best reason; 3 « worst reason) to Improve my health to save money because of new Information I have learned 21. The biggest reason I have not made more Improvements in the way I eat is: (1 * most important reason; 3 * least Important reason) It's too hard to change my food habits. 1t probably won't result 1n any benefit to me. 1 am too busy with other things. 22. How many servings of each of these types of food do you usually eat every day? 1-2 times 0 per week 1 2 3 4 vegetables I I I I fruit or fruit juice ______________________________ soft drinks ______________________________ cheese/milk ______________________________ bread/pasta/grain foods ______________________________ meat, eggs, poultry, or fish ______________________________ dried beans, split peas, nuts, peanut butter ______________________________ sweets (cookies, candies, cakes, etc.) I I I I I I 23. Do you take a nutritional supplement (pill)? yes no 24. If yes, what type? ____________ ;__________________________________ THANK VOU FOR YOUR PARTICIPATION! 168 AP P ENDIX O Aide ID Number; POttRLESSNESS SURVEY Read to the Homemaker: We need your help 1n answering some questions that will help us to Improve this program. I will read several statements about various topics. They are opinions that have been collected from many different people. There are no right or wrong answers; for each Item there Is a large number of people that agree and disagree. Please show whether you agree or disagree by choosing one of these responses: "completely agree" If you completely agree with the statement. Choose "strongly agree” 1f you agree quite strongly with the statement. Select "agree" If you are somewhat In agreement with the state­ ment. Choose "neutral" 1f you neither disagree nor agree with the statement. Choose disagree 1f you are somewhat 1n disagreement with the statement. Choose "strongly disagree" 1f you are in strong disagreement with the statement. Choose "completely disagree" 1f you completely disagree with the statement. I will not put your name on this survey. You will remain anonymous. Are you willing to participate 1n this survey? (If yes. go on. If no. go on with the lesson.) 1. I think we will always have wars between countries no matter what we do to try to stop them. 2. If you are successful you will usually have more good breaks than bad breaks. 3. Many times I feel that 1t does not do any real good to think about what to do. 4. A person who gets a good job Is just lucky to be at the right place at the right tlaae. S. I don't understand why other people act toward me the way that they do. 6. Much of what happens to me 1s probably a matter of chance or luck. 7. I feel I hove little Influence over the way other people act. 8. It 1s very hard to figure out what the future will be. 9. The ordinary person has very little control over what politicians do. 169 10. th e th in g s t h a t happen to most people are o u ts id e t h e ir own c o n t r o l. 11. I t i s n ' t w ise t o p la n to o f a r ahead because most th in g s tu r n o u t to be a m a tte r o f chance anyhow. 12. You c a n 't r e a l l y t e l l how o th e r people are going to a c t . 13. When th in g s a re go in g w e ll f o r me I u s u a lly t h in k o f 1 t as a run o f good lu c k . 14. Most people d o n 't r e a liz e how much t h e ir liv e s are in flu e n c e d by th in g s t h a t J u s t a c c id e n tly happen. 15. 1 have u s u a lly found th a t what is go in g to happen w i l l happen no m a tte r what I th in k o r do about i t . 16. Most o f th e th in g s th a t have d is a p p o in te d me in my l i f e have come because my lu c k ran o u t. 17. 1 d o n 't r e a l l y b e lie v e th e sa yin g t h a t a person can be "th e m aster o f h is f a t e . " 18. Success i s m o s tly a m a tte r o f g e ttin g good breaks. 19. Hhat happens in th e w o rld seems to be beyond the c o n tr o l o f most pe op le. 20. 1 fe e l th a t most people c a n 't r e a lly be he ld re s p o n s ib le f o r t h e ir a c tio n s . 31. Many tim es the way people a c t has a b s o lu te ly no reason behind i t . 22 . Success in w o rk in g w ith o th e r people depends much more on th e way th e y fe e l than how 1 f e e l. 23. Many tim es 1 f e e l th a t 1 have l i t t l e over the th in g s th a t happen to me. 24. Sometimes 1 f e e l th a t 1 d o n 't have enough c o n tro l over th e way my l i f e is go in g. 25. To get ahead you have to gamble on th in g s th a t you are unsure o f . in flu e n c e Thank you f o r yo u r h e lp by c o m p le tin g th e su rv e y . 170 Aide ID Number: WHAT DO YOU THINK? We hope you will help us Improve our program by participating in a survey. There are several Items here regarding how people feel about events 1n our lives. Each Item has two choices lettered a. or_b. Choose the statement which you actually believe to be most true as far as you are concerned. Choose the one choice of each pair that represents how you feel. Are you willing to participate? (If yes, go on. If no, go on with the lesson.) This 1s a survey of personal opinions — there are no right or wrong answers. Which statement 1n each pair do you agree with more? 1. a. b. Many of the unhappy things 1n people's lives are partly due to bad luck. People's misfortunes result from the mistakes they make. a. b. In the long run, people get the respect they deserve. Unfortunately, people often don't get credit for what they do no matter how hard they try. a. b. Without the right breaks, one cannot be a good leader. Being a good leader depends on having many skills. a. b. No matter how hard you try, some people just don't H k e you. People who are not Hked, often do not try very hard to be liked. a. Becoming a success is a matter of hard work; luck has little or nothing to do with It. Getting a good job depends mainly on being 1n the right place at the right time. 2. 3. 4. 5. ' b. 6. a. b. The average citizen can have an Influence In government decisions. This world Is run by the few people in power, and there Is not much the little guy can do about 1t. 171 Page 2 What Do You Think? 7. a. When I make plans, I am almost certain that I can make them work. b. It Is not always wise to plan too far ahead because many things turn out to be a matter of good or bad fortune anyhow. 8. a. In my case, getting what I want has little or nothing to' do with luck. b. Many times we might just as well decide what to do by flipping a coin. 9. a. Who gets to be the boss often depends on who was lucky enough to be 1n the right place first. b. Getting "to the top" depends upon ability; luck has little or nothing to do with 1t. 10 . a. As far as world affairs are concerned, most of us are the victims of forces we cannot understand or control. b. By taking an active part 1n political and social affairs, the people can Influence world events. 11. a. Most people don't realize how much their lives are controlled by chance. b. There really 1s no such thing as "luck." 12. a. It Is hard to know whether or not a person really H kes you. b. You can usually tell when a person H kes you. 13. a. With enough effort, we can wipe out political corruption. b. It 1s difficult for people to haye much control over the things politicians do. 14. a. Many times I feel that I have little control over the things that happen to me. b. It 1s Impossible for me to believe that chance or luck plays an Important role 1n my life. 172 Page 3 What Do You Think? 15. a. People are lonely because of their own personality. b. There 1s not much use 1n trying too hard to please people; 1f they like you, they like you. 16. a. Host of the time I can't understand why politicians behave the way they do. b. In the long run, the people are responsible for bad government. 173 A P PENDIX m e ttle * * > n u t r it io n education EFNEP R ep o rtin g P ro je c t expanded food aro m a* 24-HOUR DIETARY FOOD RECALL A1 (M Ndae_ S 0«te A io e 't to p __ Report P e rio d : F i l l 1/ Neae_ C o a o u u r U se f a a ll y 1OP__ Food R ecall NuaPer AMOUNT FOOD I | HUMBER OF SERV1N6S fooo CODE _ A p r l1 yes A V C6. HAT no BREAD i CEREAL f w it MU _Oc to p e r Heal 1 1 S na ck i Neal 2 S na ck Neal 3 1 1 t S na ck i i i _ yei no •* h o m ta a k e r p r e g n a n t o r l a c t a t i n g ? 8 th e s a Is 1 1 T o ta l R ia N te r S e r v in g s ! > I Niafcer o f S ervings P ro te in v m e in Fat Thiaaine C arbohydrate L .. _ . Revised 09/85 NCC1 P ro je c t N ia c in Alcohol a R ib o fla v in j SPOTCHECR REPORT f i r c n t o f RM C a lo rie s • 1 < C a lc i urn v it a a in C V ita a in 0 Iro n Sodiua F rw its Meat Other Food Recall Score CoM»uter Record Date 174 Vegetables Bread 1 Cereal P o ta ssiga Zinc i Hi Ik OTHER SCORING TABLE FOR TWENTY-FOUR HOUR DIET To find the Twenty-four Hour Diet score: t. Select the (appropriate triale (below) on the b a jis o jth e number o tm ilk _ servings reported in Item 7, FAMILY flECORD-B NOTE: C ircled nunbert I G). G ) I we the h ltfirs t score possible In e toodgioup. For maeher ol eervlnga la rM J h a n tw circle d raariaer. use the circle d lum bar. Example, lo r 3 servings of m ilk , use daem M ILK SERVINGS tria ls. (0. 1 .(5 )o r more). 2. Select the proper column ol the table on The basis ol Ihe number o l moot servings reported in Hem 8. 3. Select the proper area o l the table on the basis ol the ntsnber of v t f f t t a b lt / f r u it servings reported in Item 9 4. Find llae proper line ol Ihe lable on the basis ol the number ol bread/cwttl servings reporled in Item 10. (0, I. 2.3. (7)oraaoro). The manlier lo the right ol this (in type style " 7 4 " ) is Ihe Twenty-four Hour D ial score. Enter the diet score at theAppropriate "auanlhs in profyam" lime on the homemaker's FOOD AND NUTRITION PROGRESSION RECORD 0 Va* 0 MEAT 1 MEAT S E R V IN G ! S O W IN G Itia l 175 rrv h 0 1 WsaB fin il C * r « li AI m k rn vaariw it ana* C anal 0 1 0 1 to 1 Scar* 4 2 12 • 3 It © 0 • 2 © 0 to © 0 1 • 1 22 1 2 11 2 20 2 36 3 13 3 31 3 21 1 11 7 13 3 21 13 21 3 26 0 • t 21 2 26 3 26 33“ 2S 31 3 37 (« ) n 32 3 © 1 SKAT 0 MEAT SERVINGS @ M A T S ER VIN G S s e r v in g 3 41 4S 41 4t 64 (« ) vaa F la il B r**4 C * *« *l S ca t* va a f r a il * * a tf C *r**< Scats 0 3 0 11 0 M 1 i« 1 21 t 20 t7 2 12 2 27 2 17 3 IS 3 36 3 41 20 © 21 © 10 © 14 0 to 0 24 0 20 27 1 22 1 42 1 62 2 26 2 60 2 64 3* 3 31 3 64 3 00 41 © 17 © 64 © S4 17 0 12 0 27 0 37 1 36 2 34 3 41 1 2 1 26 2 11 0 t 2 1 to 2 64 0 1 2 0 a 1 64 2 42 1 »*w C ***-*1 0 l 2 3 © 0 I 2 3 ©0 2 1 2 3 17 3 00 3 SO 3 © 41 © 64 © 70 26 0 16 0 36 0 41 ©0 t 30 41 3 1 13 2 17 47 3 to © 20 41 2 47 3 00 © 0 Va* f r a il 47 2 0 1 37 S car* 26 © 21 W aat Ca.aU 2 © 0 IS 1 0 1 2 2 41 2 © 0 MLR. SERVINGS 3 © 0 t2 1 3 29 1 32 2 © 0 • 1 1ST 2 26 2 © © 0 4 21 rial) S 2 0 V aa M 3 1 MEAT SERVING i 2 0 • S ER VIN G S SER VIN G S 0 3 ( 0 V*»- Q t © 0 .1 Scar# 1 M U 0 © 0 2 M I L K S E R V IN G S 06 3 0) 1 64 2 SO 41 3 46 © 0 23 1 37 2 41 3 46 © St 3 (« ) 1 1 to 2 64 04 3 70 77 © S6 0 30 0 46 ©0 1 64 1 64 1 2 04 2 70 3 77 3 06 3 © ■2 © 01 © 3 (< ) 3 («) 2 1 2 1 MAT SERVING S ra ia 0 H 17 26 20 14 27 16 10 41 17 16 JO 41 47 26 30 41 47 60 20 41 47 SO St vaa rm i 0 »**4 Cno d 0 1 2 3 3 SO as 3 70 at 46 44 70 St 01 ©0 1 (0 n 1 2 1 2 3 2 3 © V a* foasf N 20 ©0 1 2 3 ©0 2 S / & / g PART A: General Questions 1 feel good about how qy life 1s going. 28* 51 Success is mostly a matter of getting good breaks. 12 6 3 24 17 36 15* 16* 48 24 10 2 8 1 like to "take charge" of situations. •>/< / £ / £ Much of what happens to me is probably a matter of chance or luck. 6 19 14 49 12* The things that happen to most people are outside their own control. 5 13 19 49 14* 4 19 11 53 13* 52* 44 3 1 0 14 8 53 18* 16* 61 14 9 1 11 10 46 27* I air, motivated to prepare nutritious meals. 31* 53 9 6 0 12. The way I eat now doesn't need improvement. 7* 18 14 54 7* 27* 57 7 5 3 In general, I don't like to make changes. PART B: Nutrition Questions Improving the way I eat is Important to me. 8. 1 can't do much to Improve the way 1 eat because of my Income. 9. 7 I often talk about nutrition with my family or friends. 6 10. Nutrition is not a priority in my life. 11. 13. It would benefit me to improve the way I eat. 14. Nutrition is a boring topic to me. 15. There are not enough advantages to improving Hy diet to make it worth the effort. 178 | 2 5 6 56 32* 3 2 9 54 31" PART •: Nutrition Questions (cont.) 16. There are many things 1 am more concerned with than improving my eating habits. 17. How convenient a food is to prepareaffects whether 1 use it. 16. The price of a food affects whether I buy it. PART C: Food Habits Write the number 1 next to the answer that is the roost important reason you choose foods as you do; give a number "2" to the seoend roost important reason; and use "3“ for the least important reason. 19. How do nutritional value, taste, and cost affect your food choices? (1 * most important; 3 • least important) 21 taste/flavor 45 nutritional value 25 cost 20. The Improvements 1 have made in the way I eat have been: (1 * best reason; 3 ■ worst reason) im p ro v e my SO to 27 b e c a u s e o f new i n f o r m a t i o n h e a lth 14 1 h ave to save m oney le a rn e d 21. The biggest reason I have not made moreimprovements in the way 1 eat is: (1 • most Important reason; 3 ■ least important reason) 52 it's too hard to change my food habits. a it probably won't result in any benefit to me. ?a I am too busy with other things. 22. How many servings of each of these types of food doyouusually 1-2 times 0 per week 1 2 vegetables ______________ fr u it o r fr u it ju ic e 24. 3 4 _________________________________________________ soft drinks cheese/milk bread/pesta/grain foods meat, eggs, poultry, or fish dried beans, split peas, nuts, peanut butter sweets (cookies, candies, cakes, etc.) 23. eat every day? _______________________________ _______________________________ _______________________________ _______________________________ _______________________________ [ I I I I I Do you take a vitamin supplement (pill)? yes no If yes, what type? ____________ ;______________________________ _ THANK YOU FOR YOUR PARTICIPATION! 179 Pre Test Itea Analysis Results: Aide Attitude Survey (n - 67) DIFFICULTY INDEX ITEM 1. I feel good about how ay life 1s going. DISCRIMINATE INDEX 46 61 31 67 3. I like to "take charge" of situations. 25 22 4. Much of what happens to me 1s probably a matter of chance or luck. 39 61 5. The things that happen to most people are outside their own control. 22 44 6. In general, I don't like to make changes. 25 61 7. Improving the way I eat Is Important to me. 64 61 8. I can't do much to Improve the way I eat because of my Income. 60 83 9. I often talk about nutrition with my family or friends. 48 78 10. Nutrition 1s not a priority 1n my life. 46 77 11. I am motivated to prepare nutritious meals. 54 88 12. The way I eat now doesn't need Improvement. 13 16 13. It would benefit me to improve the way I eat. 40 45 14. Nutrition 1s a boring topic to me. 40 83 15. There are not enough advantages to improving my diet to make It worth the effort. 48 67 16. There are many things I am more concerned with than Improving my eating habits. 12 39 17. How convenient a food Is to prepare affects whether I use 1t. 13 0 18. The price of a food affects whether I buy It. 25 22 2. Success 1s mostly a matter of getting good breaks. Standard deviation * 3.96 Variance ■ 15.73 Mean item difficulty ■ 37 Mean item discrimination * 54 180 Itea Analysis Results: Aide Post Test Survey (n ■ 44) DIFFICULTY INDEX ITEM DISCRIMINATION INDEX 1. I feel good about bow my life is going. 34 27 2. Success 1s mostly a matter of getting good breaks. 20 55 3. I like to "take charge" of situations. 14 9 4. Much of what happens to me 1s probably a matter of chance or luck. 32 73 5. The things that happen to most people are outside their own control. 23 64 6. In general, I don't like to make changes. 9 16 7. Improving the way I eat 1s Important to me. 68 55 8. I can't do much to Improve the way I eat because of my Income. 41 82 9. I often talk about nutrition with my family or friends. 52 55 10. Nutrition Is not a priority 1n my life. 34 82 11. I am motivated to prepare nutritious meals. 50 91 12. The way I eat now doesn't need Improvement. 14 27 13. It would benefit me to improve the way I eat. 27 36 14. Nutrition Is a boring topic to me. 55 82 15. There are not enough advantages to improving my diet to make it worth the effort. 55 91 16. There are many things I am more concerned with than Improving my eating habits. 16 45 17. How convenient a food is to prepare affects whether I use it. 16 45 18. The price of a food affects whether I buy it. 11 9 Standard deviation ■ 3.80 Variance ■ 14.46 Mean item difficulty ■ 30 Mean item discrimination • 45 181 Aide I.D. Mo: Aide Code No: Homemaker I.D. Lesson No: Aide Experience Irears) ~ Post Test Item Mialysls for Program Aides CFNEP SURVEY (n - 44) Directions: This survey hss three sets of questions. The first part deals with your opinions about tome general areas. The second part asks for your opinions about nutrition. The last part relates to y o u r usual pattern of eating. Please answer all questions based on how much you agree or disagree with the statement. There are no right or wrong answers since this survey Is about feelings and opinions. All responses will be treated confidentially. PART A: General Questions 1. 1 feel good about how my life is going. 2. Success is mostly a matter of getting good breaks. 3. I like to ‘take charge* of situations. 4. Much of what happens to me is probably a matter 34* 50 9 2 2 9 20 50 20* 14* 52 16 16 2 0 0 0 18 50 32* 5. The things that happen to most people are outside their own control. 2 5 18 52 23* 6. In general, I don't like to make changes. 2 14 18 50 9* 11 43 41* 11 45 34* 18 59 14* 14. Nutrition is a boring topic to me. 39 55* 15. There are not enough advantages to Improving my diet to make it worth the effort. 41 55* of chance or luck. PART B: Nutrition Questions 7. Improving the way I eat is important to 68* 25 8. I can't do much to Improve the way I eat because of my income. 9. 1 often talk about nutrition with my family or friends. 52* 45 10. Nutrition is not a priority in my life. 11. I am motivated to prepare nutritious meals. 50* 43 12. The way I eat now doesn't need improvement. 13. It would benefit me to improve the way I eat. 182 27* 57 PART I: Rutrltlon Questions (cont.) 16. There are many things 1 am more concerned with than Improving my eating habits. 2 16 23 43 16* 17. How convenient a food is to prepare affects whether 1 use It. 5 9 27 43 16* 11* 41 23 16 18. The price of a food affects whether I buy It. 9 PART C: Food mbits Write the number 1 next to the answer that 1s the most important reason you choose foods as you do; give a number "2* to the seocnd most Important reason; and use “S’' for the least important reason. 19. How do nutritional value, taste, and cost affect your food choices? (1 * most Important; 3 ■ least Important) 41 taste/flavor aa nutritional value q cost 20. The improvements 1 have made 1n the way I eat have been: (1 ■ best reason; 3 ■ worst reason) 57 to Improve my health n to save money 36 because of new information 1 have learned 21. The biggest reason I have not made more improvements in the way 1 eat is: (1 * most Important reason; 3 ■ least Important reason) 50 it's too hard to change my food habits. 0 it probably won't result in any benefit to me. 34 1 am too busy with other things. 22. How many servings of each of these types of food doyou usually eat every day? 1-2 times 0 per week 1 2 3 4 vegetables [ I I I fruit or fruit juice ______________________________ soft drinks ______________________________ cheese/milk ______________________________ bread/pasta/grain foods ______________________________ meat, eggs, poultry, or fish ______________________________ dried beans, split peas, nuts, peanut butter ______________________________ sweets (cookies, candies, cakes, etc.) [ I I I I I 23. 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