.3. .l .o 3.8! I .5 1:... v. .1 . v 7. 5.141. 3:; ~ ,, Ir :1 flfi « 9 ‘v : .f .‘r ,‘l ”EU: 1:5... I ‘ ;....IL. '0'}. .1.- r.‘ v‘ . J.“ fimnfiawq , .. f . SEE (5%?! if . i THESlS 7 y. This is to certify that the dissertation entitled A FIELD STUDY OF THE RELATIONSHIP BETWEEN RUNNING AND SELF CONCEPT DEVELOPMENT AMONG ELEMENTARY SCHOOL STUDENTS presented by Jeffrey S. Sonnega no has been accepted towards fulfillment of the requirements for Ph.D. degree in School Psychology 09an Major professor Date 1%- (/- 6‘; MSU is an Affirmative Action/Equal Opportunity Institution 042771 __.l — ___'___.___._~_+-—.-——\-——v \Illllllllllllllll l'. LIBRARY Michigan State University A FIELD STUDY OF THE RELATIONSHIP BETWEEN RUNNING AND SELF CONCEPT DEVELOPMENT AMONG ELEMENTARY SCHOOL STUDENTS BY Jeffrey S. Sonnega A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Counseling, Educational Psychology and Special Education 1995 ABSTRACT A FIELD STUDY OF THE RELATIONSHIP BETWEEN RUNNING AND SELF CONCEPT DEVELOPMENT AMONG ELEMENTARY SCHOOL STUDENTS BY Jeffrey S. Sonnega This experiment examined the relationship between running and self concept development among elementary school students. For 10 weeks, subjects engaged in an after school running program 3 afternoons per week. The purpose of the study was to investigate whether participation in aerobic activity (running) would lead to increases in self concept and physical fitness. Experimental subjects volunteered to participate in the Running Club and underwent pre and post testing with the Self Description Questionnaire I (SDQI) and the Progressive Aerobic Cardiovascular Endurance Run (PACER). A comparison (control) group was developed and participated in the regular physical education curriculum but did not run after school. They completed the same psychological and physical fitness measures as experimental subjects under a pretest posttest quasi-experimental design. Experimental subjects did not significantly improve their aerobic capacity as a result of the intervention. Both experimental and control subjects increased in their self concept of physical appearance, but no significant increases were noted in the self concept of physical ability, peer self concept and total self concept. Racial and gender differences were observed on the PACER while special education students scored lower than regular education students on most dependent measures. Interaction effects were noted between the self concept of physical ability with gender and race. There was a trend among control subjects that a lack of participation in an exercise program lead to increases in the self concept of physical appearance and peer relations. A significant number of students dropped out of the experimental group and were analyzed separately. Implication of the findings and suggestions for further research are discussed. DEDICATION The following treatise is dedicated to my family whom without their support this accomplishment would never have been completed. iv fac su; gre D01 m ACKNOWLEDGEMENTS The author wishes to express my heartfelt thanks to the faculty and staff at Michigan State University for their support, encouragement, and guidance over the course of my graduate career» In particular, I express my gratitude to Dr. Don Mamachek, who was my dissertation advisor, a supportive educator, and most importantly, a consistent role model. Many people have assisted me along the way including the other members of my committee: Drs. Hapkiewicz, Bianchi, and Baumgardner. I also wish to acknowledge the Lansing Public School System and the students and staff at Bingham Elementary School who participated in the study. Laska Lewis, faculty advisor for the Running Club, was instrumental in this endeavor. I am grateful to Dr. Herbert Marsh for his authorization to use the Self Description Questionnaire I and its accompanying scoring materials. Several others have assisted along the way but they are too many to mention here individually at the risk of omitting someone. However, I thank all of you and appreciate your support. TABLE OF CONTENTS List Of Tables... .......... ........ ...... ............. Viii List Of FigureSooooooooooooo000000.00.co ....... ......... ix CHAPTER I: INTRODUCTION................ ...... ........... 1 Statement of the Problem. ...... .................... 1 Need for the Study................................. 2 Purpose of the Study............................... 3 CHAPTER II: A REVIEW OF THE LITERATURE.................. 5 A Review of Exercise/Self Concept Research......... 6 Non-Aerobic Studies................................ 7 Aerobic Studies.................................... 9 Summary of Exercise/Self Concept Research.......... 13 CHAPTER III: METHOD AND PROCEDURES...................... 14 Procedure.......................................... 14 Subjects........................................... 17 The Independent Variable........................... 18 Measurement and Instrumentation.................... 19 The Progressive Aerobic Cardiovascular Endurance Test (PACER)....................................... 20 The Self Description Questionnaire I (SDQI)........ 22 Hypotheses......................................... 25 CHAPTER IV: ANALYSIS OF RESULTS. ...... .................. 27 Sample Characteristics............................. 27 Reliability of the SDQI............................ 30 General Statistical Design......................... 32 Results of Hypothesis Testing...................... 34 Supplementary Analysis............................. 47 Pacer Performance.................................. 47 Physical Ability................................... 52 Total Self Concept........... .............. ........ 60 CHAPTER V: DISCUSSION AND CONCLUSIONS... ............... . 62 Summary of Research Findings....................... 62 Relationship to Other Studies ..................... 65 Difficulties with the Study ....................... 67 The Dropout Problem................................ 68 Limitations and Assumptions of the Study........... 69 Suggestions for Future Research.................... 72 Summary and Conclusions............................ 75 vi Appendices A. B. C. D. E. Consent Forms................................. Introductory Letter and Program Rules......... Demographic Data Sheet........................ Progressive Aerobic Cardiovascular Endurance Run (PACER)......................... Self Description Questionnaire I (SDQI)....... Bibliography............................................ vii 78 81 83 84 85 89 T123456 LIST OF TABLES Table 1. Gender of Subjects.... ..... . .......... ............. 27 2. Race of Subjects................................... 28 3. Age of Subjects.................................... 29 4. Educational Programming of Subjects................ 30 5. Reliability Analysis of the SDQI................... 31 6. A Comparison of PACER Scores from Pretest to Posttest........................... 36 7. A Comparison of Physical Ability Scores from Pretest to Posttest........................... 39 8. A Comparison of Physical Ability Scores from Pretest to Posttest... ........................ 41 9. A Comparison of Peer Self Concept Scores from Pretest to Posttest . . . . O . . O O O . O O O . O . . O ..... O O . 44 10. A Comparison of Total Self Concept Scores from Pretest to Posttest........................... 46 11. PACER Scores by Educational Programming............ 49 12. PACER Scores by Race............................... 51 13. Self Concept of Physical Ability by Gender......... 53 14. Self Concept of Physical Ability by Educational Programming............................ 56 15. Self Concept of Physical Ability by Race........... 58 16. Total Self Concept by Educational Programming. ..... 61 viii LIST OF FIGURES Flow Chart of Experimental Design.................. Figure 1. 2. Marsh/Shavelson 3. A Comparison of from Pretest to 4. Self Concept of 5. Self Concept of 6. Self Concept of Hierarchical Model of Self Concept. PACER Scores Posttest........................... Physical Appearance by Group....... Physical Ability by Gender......... Physical Ability by Race........... ix 15 23 37 42 54 59 rela deve exer with resez more to b SpeCJ thou§ toda) inlplj deli, incre are n CHAPTER I INTRODUCTION Statement of the Problem There is a lack of scientific research regarding the relationship between aerobic activity and self concept development in children. Despite a documented link between exercise and mental well-being among adults, interventions with, children have lead. to equivocal results. Earlier research posited that self esteem is a global component, but more recent research has shown this psychological construct to be hierarchical and multifaceted. By examining more specific aspects of the self’ concept, interventions are thought to have more of an impact. The physical fitness of today's youth is declining and low self esteem has been implicated as a factor in many of our social ills and delinquent behaviors. Many programs have been designed to increase self esteem in school children, but they typically are not scientifically evaluated and.do not include an aerobic component. EEC? crit can; Sing part OUTS eval achi 197E clas (Co< act; 196! as. cli: Sel adu 197 Far Wal Sig bod- 2 Need the ud Of all the psychological variables that determine emotional adjustment, self concept is probably' the 'most critical. What we think about ourselves is probably the central concept in our conscious lives (McGuire & Padawer- Singer, 1976). Hamachek (1992) defines self concept as "that particular cluster of ideas and attitudes we have about ourself at any given moment" (p. 26) while self esteem is "the evaluative or affective dimension-of self concept" (p. 31). Self concept has been associated with overall academic achievement (Felker, 1974: Shavelson, Hubnery & Stanton, 1976), reading achievement (Wattenberg & Clifford, 1964), classroom participation and the possession of social skills (Coopersmith, 1967), and participation in extracurricular activities and the attainment of leadership status (Rosenberg, 1965). The development of a positive self concept is posited as a desirable goal in personality and child development, in clinical treatments, and in education. One method of developing the foundation for a healthy self concept is through aerobic exercise. Exercise among adults has many benefits, both physiologically (e.g., Harper, 1979) and psychologically (e.g., Greist, Klein, Eischens, Faris, Gurman, & Morgan, 1979: Sachs & Buffone, 1984). Walking and jogging programs among adults have lead to significant improvements in self esteem, self respect, and body image (Carmack & Martens, 1979; Hawkins, 1981). 3 WM! Several researchers, (Brown, 1982: Cooper, Purdy, Friedman, Bohannon, Harris, & Arends, 1975: Duncan, Boyce, Itami, & Puffenbarger, 1983) have found appropriate physical activity to be a foundation for long term physical and emotional well-being into adulthood. Young children most often cite physical characteristics and appearance when asked to describe themselves (Rosenberg, 1979: Sonstroem & Morgan, 1989) and most of the current self concept models contain a physical appearance and/or physical ability factor. Although adults have benefitted from the physical fitness movement, children are not being reached by this current trend (Corbin, 1986; Hinkle & Tuckman, 1987: Jenkins & Staub, 1985). Notwithstanding, studies have shown aerobic conditioning can improve cardiorespiratory functioning in children (Cooper et a1., 1975; Duncan et a1. 1983: Hinkle, 1987: Siegel & Hanfredi, 1984; Tuckman & Hinkle, 1986). Psychological effects have not been as thoroughly tested, but increases in Self concept have been found among subjects initially lower in this trait (Hilyer & Mitchell, 1979: McGowan, Jarman, & Pedersen, 1974). Running has been researched the most thoroughly and aE>plied the most often as a psychological intervention (Hinkle, 1988). Even though it is one of the most difficult fOrms of aerobic exercise, it is among the best at promoting Psychological health (Glasser, 1976: Harper, 1979). Children 4 and adolescents find running to be the most readily accessible aerobic exercise in terms of skill development, costs, and availability (Hinkle, in press). In general, few studies have been done with elementary school children (Brown, 1982: Lopez & Pruett, 1982: Lund & I_:_m ecu :32). E9“. ._ .3... E :32? .25.: 33: .3 E :om_o>5_w 22:35 2: to .5639. :om_o>n__m\__m5_2 2: so was: 2: ms 328 :2: _ 9:222:30 :occtumoeiom 2: 2 82.9.3. :5: motor: Euuzooéom to :ocwfizmwto Essences. 2.10 :ocmsamoEE .625 :EchEo :< .N .3..— .oozom «9:32.53. 3.23253: 8:232? >52 53:09.3"... .aoocou._.om Eoocoo.._om 8:29.33 5.1.0: w QEopmcacoz e. 950E 0.35932 < .aoocooeem .Socmu 24 The SDQI is a recently developed multidimensional self concept measure and is appropriate for children ages 6 to 11. Children responded to items along a 5 point scale ranging from mostly false (1) to mostly true (5). The questionnaire taped seven specific factors and four global areas from the Shavelson et al. (1976) model that have been supported through confirmatory and multitrait-multimethod factor analyses (Marsh, Smith, & Barnes, 1982). A General-Self scale, derived from the Rosenberg (1965, 1979) Self Esteem Scale is also included. Specific scores are reported for physical abilities, physical appearance, relationships with peers, relationship with parents, reading, mathematics, and general school subjects. Global scores are aggregates of these specific factors and include a total nonacademic self concept, a total academic self concept, a total self concept, and a general self concept that correlates with all factors in the model. Research has shown that negatively worded items tend to reduce reliability at the younger ages and are not included in the scoring (Wylie, 1989) but serve as a deterrent to a positive response set (Marsh, 1990). Coefficient alphas for the seven individual scale scores varied from .80 to .92 (median =. 86) . Alphas for the Total Nonacademic, Total Academic, and Total Self scores were .91, .92, and .94 respectively (Marsh, 1990) . Internal consistency without the negatively worded items ranges from .80 to .90 across the 25 various subscales but are somewhat lower for second and third graders (Wylie, 1989). Factor analysis of the first seven subscales reveal that each define their own factor with negligible cross loadings (Marsh, Barnes, Cairns, & Tidman, 1984). However, support for a general self concept at the apex of the hierarchy is less conclusive (Wylie, 1989). Stability and systematic changes in self concept were examined in two studies (Marsh, Smith, Barnes, & Butler, 1983). In both studies, the reliability of the difference scores had means of .74 for the individual scales and .87 for total scales. Construct validity of the SDQI has been established through multitrait-multimethod analysis with the Coopersmith Self Esteem Inventory, the Sears Self-Concept Inventory and Harter's Perceived Competence Scale for Children (Marsh & Smith, 1982). 0 ese This study examined the following research hypotheses: 1. As a result of the after school running program, subjects will derive cardiovascular benefits as indicated by increased post test performance on the Progressive Aerobic Cardiovascular Endurance Run (PACER). 26 Aerobic activity (running) will lead to significant increases in children's self concept in the specific areas of physical ability and physical appearance as assessed by the Self-Description Questionnaire I (SDQI) . Children will improve their peer self concept as a result of the social +interaction and group format of the after school running program. These changes will be noted by increased scores on the peer self concept component of the SDQI . Improvement in the global aspect of self concept, namely total self concept on the SDQI, will significantly increase as a result of participation in the after school running program. CHAPTER IV ANALYSIS OF RESULTS Sample Characteristics A total of 70 subjects participated in this study. An examination of Table 1 reveals the large number of dropouts, originally from the experimental group, who failed to complete the ten week study. The control group was also limited in number as most children who were interested in the study chose to be in the experimental group. Slightly more males than females were included among the experimental and dropout groups, however males were under— represented in the control group. Table 1 Sende; ef Subjects Experimental Control Dropout Male (34) 16 (55%) 3 (21%) 15 (56%) Female (36) 13 (45%) 11 (79%) 12 (44%) Total (70) 29 14 27 27 28 More nonwhites than whites participated in the experimental group while whites were the majority among the control and dropout groups. This demographic breakdown by race can be found in Table 2. Table 2 e Su ' cts Experimental Control Dropout White (38) 12 (41%) 10 (71%) 16 (59%) Nonwhite (32) 17 (59%) 4 (29%) 11 (41%) Total (70) 29 14 27 Because of the small number of subjects in the second and sixth grades, 7 and 12 year olds were collapsed into the adjacent age categories. The majority of subjects were 9 and 10 year olds; mean age of the subjects was 9.6 years. The cells of the control group were unevenly distributed across all age categories with some cells having as few as 2 subjects. Eleven and twelve year olds displayed a tendency to drop out more frequently than other age categories. The breakdown by age can be seen in Table 3. 29 Table 3 Age Qf Sgbjects Experimental Control Dropout 7-8 (10) 5 (17%) 2 (14%) 3 (11%) 9 (23) 9 (31%) 5 (36%) 9 (33%) 10 (19) 9 (31%) 5 (36%) 5 (19%) 11-12 (18) 6 (21%) 2 (14%) 10 (37%) Total 29 14 27 Students who were receiving Chapter 1 services for reading or bilingual education were included in the special education category because they were too few in number to form their own group. Moreover, this group was not completely independent as some children were receiving Chapter 1 services or bilingual education and special education services concurrently. Overall, there were a large number of students from special education who participated in the study: approximately 39% of the sample. These subjects had no obvious physical handicaps and were approximately equally divided among experimental, control , and dropout groups. Similar to other demographic categories, the fewest number of subjects were in the control group with only five subjects from special education and nine from regular education represented. This distribution can be seen in Table 4. 30 Table 4 Egncetiona; Pnognamming of Sunjects Experimental Control Dropout Regular Ed (43) 18 (62%) 9 (64%) 16 (59%) Special Ed (27) 11 (38%) 5 (36%) 11 (41%) Total 29 14 27 Reliabiliny of the SQQI An analysis of the reliability of the eleven factors of the SDQI showed each factor to have adequate internal reliability. Sixty-eight out of the original 70 subjects completed the protocol at pretesting while 64 completed the SDQI upon posttesting. Two students moved out of the school district and were subsequently dropped from the study. Coefficient alphas ranged from .77 to .94 at pretesting and from .61 to .94 at posttesting. The reliability of the total scale was in the .905 at both times of assessment, indicating strong internal consistency. These results are consistent with those reported in the SDQI manual (Marsh, 1990) and with a review published by Wylie (1989). A complete summary of reliability coefficients (internal consistency) for the SDQI factors is located in Table 5. 31 Table 5 Reliability Analysis of the SDQI Sca e Pretest (N=68) Posttest (N=64) 1.) Physical Ability .78 .61 2.) Physical Appearance .89 .91 3.) Peer Relationships .87 .76 4.) Parental Relationship .83 .79 5.) Reading .86 .85 6.) Mathematics .91 .93 7.) School .84 .85 8.) General .79 .82 9.) Nonacademic .92 .89 10.) Academic .92 .92 .94 .94 11.) Total 32 General statistical design SPSS was used to analyze the data on the University computer system. Due to the lack of randomization to treatment conditions, statistical control was necessary to equate pretest differences between groups. The small number of cases indicated a repeated measure, multivariate analysis of variance (MANOVA) rather than an analysis of covariance (ANCOVA) . A multivariate repeated measure analysis with all demographic variables added simultaneously could not be conducted due to the creation of empty cells. Similarly, in order for the ANCOVA to be effective, the covariates must be linearly related to the dependent variable and unaffected by manipulation of the experimental variable. If pretest scores were used as covariates, this assumption would not be met. During the preliminary analysis, covariates were significant in all cases. A repeated measure MANOVA was used to examine the effect 0f the treatment on changes in the SDQI while controlling for the effects of four salient demographic variables: gender, age, educational programming, and race. While all eleven factors of the SDQI were included in the analysis, the main f0(3118 was on the PACER and the hypothesized self concept variables. After computing descriptive statistics for d“"""91'.'aphic variables and checking for outliers or possible “ding errors, cross tabs and chi-squares were used to check 33 the distribution of the sample. These results were nonsignificant, which lead to collapsing certain categories such as educational programming (regular education, special education, Chapter 1, and bilingual education) into one dichotomous variable; regular education and special education. This created larger sample sizes within cells and more statistical power. In all, three analyses were conducted on the data. In the preliminary analysis, simple, one factor ANOVA’s were calculated for the PACER and SDQI factors based solely on group membership. Pre and post test scores were examined without a repeated measure and were likely ‘ influenced by gender and other demographic variables. In the second analysis, gender and racial differences were examined on the PACER and SDQI factors independent of group membership. Again, this test was run using a simple ANOVA without a repeated measure and was necessary to determine if demographic variables were confounded within group membership. Main effects for race and gender were noted. In the final and most robust analysis, group effects were anailyzed using a repeated measure multivariate analysis of V"alliance with four demographic variables added individually to the model. By including the demographic variables, their interaction with the outcome variable could be determined. These variables were not added simultaneously because of the 34 small number of subjects in the study and the low frequencies within cells this would.have created. 'This design was similar to a covariate analysis even though the demographic variables were not technically covariates because they lacked independence with dependent measures. Results of physical activity (PACER scores) will be presented first followed by an analysis of the self concept factors according to experimental hypotheses. The alpha for statistical tests was set at p < .05. Results of hyponhesie testing Research hypothesis # 1: As a result of the after school running program, subjects will derive cardiovascular benefits as indicated by increased posttest performance on the Progressive Aerobic Cardiovascular Endurance Run (PACER) [not supported]. Significant differences for overall means were found between the three groups on the PACER. As expected, those subjects who self-selected into the Running Club achieved a higher mean than control subjects but only slightly higher than experimentals who eventually dropped out of the study, ‘E(2,64) ==4.54, p < .05. A comparison of means for the three groups and the corresponding ANOVA can be found in Table 6 and Figure 3. An examination of Table 6 reveals that PACER performance did not increase significantly over pretest levels 35 as hypothesized F(1,64) = 1.84, p > .05, nor was there any interaction between group membership and PACER performance £(2,64) = .60, p > .05. Ironically, subjects in the control group showed the greatest amount of improvement and increased by three laps while experimental subjects increased by less than two laps. Large standard deviations were noted for both the experimental and dropout subjects. .Although.noicurrent.norms are available for the PACER, the grand mean for this research sample was 21.9 laps at pretesting and 23.4 laps at posttesting. 36 Table 6 A Qonparisen of PAQER Sceres from Eretesr to Pestrest Pretest Posttest Gronp M SD M SD R Experimental 24.8 12.2 26.7 13.0 27 Control 13.1 6.0 16.1 8.8 14 Dropouts 23.9 12.9 23.8 15.0 26 Analysis of Variance Source Qf E Between subjects Within Cells 64 (262.83) Group 2 4.54* Within subjects Within Cells 64 (42.91) PACER 1 1.84 Group x PACER 2 .60 * p_< .05. Sore. Values enclosed in parentheses represent mean square errors. 37 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12 . O 0 Experimental A Control O Dropout PACER llllllllllllllrl Pre Post Time Figure 3 A Comparison of PACER Scores from Pretest to Posttest 38 Research hypothesis # 2: Aerobic activity (running) will lead to significant increases in children's self concept in the specific areas of physical ability and physical appearance as assessed by the Self- Description Questionnaire I (SDQI) [not supported]. There were no significant differences between groups on the their self concept of physical ability E(2,61) = .06, p > .05. Results and the associated ANOVA can be found in Table 7. As was the case with the Pacer, no significant differences were found for the children's self concept of physical ability between pre and post testing £(1,61) = 1.14, n > .05. There was no interaction between group status and self concept of physical ability 132,61) = .60, p > .05. Students.gained.an average of less than one point.on the items that comprised this scale. 39 Table 7 A Qenperieon of Phyei cal AbiTity Seores from Pretest to 05 est Pretest Posttest 9:929 M SD M SD R Experimental 33.9 5.0 33.7 5.4 26 Control 32.7 7.1 33.7 4.4 14 Dropouts 33.1 5.8 34.0 4.7 24 Analysis of Variance Souree GI E Between subjects Within Cells 61 (47.60) Group 2 .06 Within subjects Within Cells 61 (8.66) Phys Abil 1 1.14 Grp X Phys Abil 2 .60 Nere, Values enclosed in parentheses represent mean square errors. 40 No significant differences were found for the three groups on the physical appearance scale of the SDQI F(2,61) = 2.27, p > .05. At posttesting there was a significant change in physical appearance for the three groups F(1,61) = 4.18, p_< .05, but this improvement applied to control as well as experimental subjects. A comparison of pre and post test means can be found in Table 8 and in Figure 4. There was no interaction between group membership and physical appearance E(2,61) = 1.23, p > .05. Controls actually gained more than experimentals while dropouts decreased slightly in their ratings. 41 Table 8 A Cemparieen of Ehysical Appearance Scores from Pretest to OS e Pretest Posttest 9:222 M SD M SD n Experimental 30.6 9.3 32.6 7.8 26 Control 29.5 6.5 32.9 6.2 14 Dropouts 27.4 8.4 27.3 9.0 24 Analysis of Variance Sonrce GI E Between subjects Within Cells 61 (111.11) Group 2 2.27 Within subjects Within Cells 61 (24.12) .Appearance 1 4.18* Grp X Appr 2 1.23 tp < .05. more2 values enclosed in parentheses represent mean square errors . 35 33 32 31 30 29 28 27 26 25 Physical Appearance 42 C 7 0 Experimental _ A Control 7 O Dropout __ 0 £ )_ I I Pre Post Time Figure 4 Self Concept of Physical Appearance by Group 43 Research Hypothesis # 3: Children will improve their peer self concept as a result of the social interaction and group format of the after school running program. These changes will be noted by increased scores on the peer self concept of the SDQI [not supported]. There were no overall differences between means for the three groups on the peer self concept scale E(2,60) = .16, p > .05. Complete results can be located in Table 9. As a result of the intervention, groups increased about one point (experimental group) to a little over two points (control group) at posttesting, but not enough to produce a significant main effect £(1,60) = 3.72, p > .05. Interactions were not observed between peer self concept and group status E(2,60) = .27, p > .05. The experimental group showed the least amount of improvement on this variable. 44 Table 9 A Conparisen of Peer Self Qoncept Scores from Pretest to Eosrtest Pretest Posttest 92229 M SD M SD n Experimental 30.5 8.0 31.2 6.4 26 Control 29.9 7.9 32.1 4.9 14 Dropouts 29.1 7.8 30.8 5.7 23 Analysis of Variance on e d: E Between subjects Within Cells 60 (76.67) Group 2 .16 Within subjects Within Cells 60 (19.70) Peer 1 3.72 Grp X Peer 2 .27 m Values enclosed in parentheses represent mean square errors. 45 Research hypothesis # 4: Improvement in the global aspect of self concept, namely total self concept on the SDQI, will significantly increase as a result of participation in the after school running program [not supported]. The groups did not differ on their overall means for total self concept E(2,60) = .54, p > .05. There were no significant increases §(1,60) = 1.81, p > .05, or interactions £(2,60) = .08, p > .05 as a result of the intervention. The maximum gain by any group was only one point. Means and the ANOVA for this factor can be seen in Table 10. 46 Table 10 A Cenpari son ef Toral Self Cencept Scores from Pretest to Eeettesr Pretest Posttest QIQBR M SD M SD E Experimental 31.6 5.0 32.2 4.4 26 Control 31.7 4.5 32.7 4.5 14 Dropouts 30.6 4.9 31.2 4.6 23 Analysis of Variance Source GE E Between subjects Within Cells 60 (36.49) Group 2 .54 Within subjects Within Cells 60 (7.82) Total 1 1.81 Grp X Total 2 .08 NQ‘LQL Values enclosed in parentheses represent mean square errors. 47 None of the self concept variables showed significant improvement as a result of the after school running program except physical appearance. For this factor, however, there was no interaction between group membership and self concept and even the control group increased on this measure. u leme a s's A number of unexpected findings occurred that were not included in the original hypotheses. These findings often involved treatment by subject interactions or were related to demographic differences between subjects. In any event, they provide opportunities for future research and will be discussed briefly. Significant findings related to PACER performance will be reported first followed by an analysis of self concept factors. ANOVA tables are not included unless significant results, specific to the intervention, were found. Sample sizes are enclosed in parentheses. Pac e rmance When Pacer scores were examined with the demographic variables, (gender, age, educational programming, and race) added individually to the model, some interesting results were obtained. Special education status had a significant relationship with aerobic capacity. Students in special education had lower aerobic scores than did regular education students 48 regardless of treatment condition T(1,48) = 7.11, p 5 .01. Means and the corresponding ANOVA can be located in Table 11. Although the sample size was small (n=10), it is interesting to speculate why differences occurred between regular education and special education students. One would not expect special education status to have a significant bearing for better or worse on a measure of physical endurance. This difference between regular and special education students may relate more to effort expended and the drive to push oneself that may be more intensely felt among regular education students. Despite overall mean differences between regular and special education students, there was no interaction between group status and PACER scores at posttesting. Exercise did not increase aerobic capacity for special ed students beyond what it did for students from regular education. (Actual Performances showed small increases for regular education Students and negligible gains or slight decreases for special education students) . Table 11 49 PACER Scores by Educational Programming Pretest Posttest group M SD M SD Experimental regular ed (17) 26.3 11.6 28.8 12.7 special ed (6) 21.8 15.2 21.3 16.5 Control regular ed (9) 15.4 5.7 18.6 8.1 special ed (2) 7.0 4.2 5.0 1.4 Dropouts regular ed (16) 23.5 11.5 24.8 15.0 special ed (4) 9.3 3.6 10.3 4.3 Analysis of Variance Souree Within.Cells Group Spec Ed Grrllt Spec Ed Q: E Between subjects 48 (240.55) 2 3.98* 1 7.11** 2 .56 #9 < .05. ** 52‘<.01. m Values enclosed in errors . parentheses represent mean square 50 There was also a significant difference between ethnic groups on overall PACER performance as nonwhites outscored whites, except among control subjects, E(1,61) = 4.02, p < .05. Specific results and the ANOVA can be seen in Table 12. There were no interactions between race and treatment or between group status and treatment for this variable. 51 Table 12 PAC R cores ace Pretest Posttest 9:922 M 92 M 99 Experimental whites (12) 20.1 11.1 20.1 12.4 nonwhites (15) 28.4 12.2 32.0 11.3 Control whites (10) 13.7 6.3 16.6 8.8 nonwhites (4) 11.8 5.7 15.0 9.8 Dropouts whites (15) 19.8 13.0 20.0 14.7 nonwhites (11) 29.5 11.0 29.0 14.5 Analysis of Variance Sonree 2: E Between subjects Within Cells 61 (235.18) Group 2 4.52* Race 1 4.02* Grp X Race 2 1.32 *p < .05. 2.9.1.22... Values enclosed in parentheses represent mean square errors . 52 'c ili On the physical ability scale of the SDQI, males reported higher scores than did females during both points of assessment. This difference held regardless of group status and was observable among control subjects as well. Means for males and females on physical ability and the corresponding statistical analysis can be found in Table 13. There was also a significant interaction between group membership, gender, and physical ability S(2,58) = 4.34, p < .05. For males in the experimental and control groups, there were negligible increases in physical ability at posttesting. For dropouts, there was a decrease of slightly more than one point in their ratings of physical appearance. For females, the effects were much different. Female dropouts gained a significant amount (3.2 points) while females in the control group showed an increase of a little over one point. Surprisingly, female experimental subjects lost about a point and one half at posttesting. Thus for female subjects, there appeared to be a slight advantage in not participating in the aerobic activity. The effects of this interaction can be seen graphically in Figure 5. 53 Table 13 Se f f h 'ca ' 't Ge er Pretest Posttest 9:222 E 99 M 92 Experimental males (15) 34.6 4.9 35.3 3.9 females (11) 32.9 5.2 31.5 6.5 Control males (3) 34.7 5.8 35.0 3.6 females (11) 32.1 7.5 33.3 4.6 Dropouts males (12) 36.4 3.6 35.2 3.9 females (12) 29.7 5.7 32.9 4.5 Analysis of Variance 992:99 22 E Within subjects Within Cells 58 (7.81) Phys Abil 1 .59 Grp X Phys Abil 2 .73 Sex X Phys Abil 1 .79 Grp X Sex X P. Abil 2 4.34* *p < .05. Nets. Values enclosed in parentheses represent mean square errors. 4O 39 38 37 36 35 34 33 32 31 30 Physical Ability 4O 39 38 37 36 35 34 33 32 31 30 Physical Ability 54 Males : F 0 Experimental _ 67.2% A Control " O Dropout b l I Pre Post Time Females ; 0 Experimental _ A Control ' O Dropout - l 1 Pre Post Time Figure 5 Self Concept of Physical Ability by Gender 55 Special education subjects also scored lower than did regular education students on perceptions of physical ability E(1,45) = 4.98, p < .05, a difference that was most pronounced among special ed students who did not continue the study. A comparison with regular education children can be seen in Table 14. They may already have doubts about their ability in the classroom and, given their history of academic failure, they may well have carried these doubts on to the playground as well. The self assessment of special ed students appears to be congruent with their actual Pacer performance. Dropouts, regardless of group, also scored lower than experimental or control subjects, but this difference did not reach significance. There was a lack of an interaction between educational status and treatment on the self concept of physical ability, nor was there an increase in physical ability across all subjects. Previous research (Hilyer' & Mitchell, 1979; McGowan, Jarman, & Pedersen, 1974), has shown running and other forms of aerobic activity to have a greater impact on the self concept of special education students, a finding that ‘was not observed in the present study. 56 Table 14 S C n e o ' a Ab' it Educationa ro mm'n Pretest Posttest Group M SD 2 92 Experimental regular ed (16) 34.8 4.7 34.2 5.6 special ed (6) 34.0 4.7 34.3 5.7 Control regular ed (9) 35.2 3.3 34.9 4.1 special ed (2) 30.5 13.4 34.4 6.5 Dropouts regular ed (16) 33.1 4.2 34.7 3.2 special ed (2) 23.0 9.9 27.5 2.1 Analysis of Variance u ce 2:. E g Between subjects Within Cells 45 (38.09) Group 2 3.09 Spec Ed 1 4.98* Grp x Spec Ed 2 2.32 IXr L2 < .05. 3% Values enclosed in parentheses represent mean square erI‘Ors . 57 Ethnic differences were also observed for the self concept of physical ability in conjunction with group status E(2,58) = 4.63, p < .05. Means for this factor and the analysis of variance can be found in Table 15. Among white students, those in the experimental and control groups showed no difference between pre and post testing in their rating of physical ability. White dropouts, however, showed a large increase after dropping out of the study. No significant difference was observed among nonwhite experimental subjects while nonwhite dropouts decreased slightly in their self rating. However, nonwhite control subjects gained a significant amount (over four points) from pre to post testing. This was the biggest gain for any subgroup in the entire study. The effects of this interaction can be seen graphically in Figure 6. 58 Table 15 e o ce f P s'cal bi it b Race Pretest Posttest 932222 E. 912 M .52 Experimental white (11) 32.2 4.9 32.4 5.5 nonwhite (15) 35.1 4.8 34.6 5.2 Control - white (10) 34.5 5.5 34.1 4.3 nonwhite (4) 28.3 9.5 32.8 5.0 Dropouts white (13) 30.7 4.8 33.4 4.0 35.8 5.2 34.7 4.7 nonwhite (1 l) Analysis of Variance m (if E Within subjects Within Cells 58 (7.78) PhYs Abil 1 2.71 Grp x Phys Abil 2 1.26 Rates x Phys Abil 1 .03 Grp x Race x P. Abil 2 4.63* 9<\.05. Me; Values enclosed in parentheses represent mean square err01‘s. 38 37 36 35 33 32 31 30 29 28 Physical Ability 59 Experiment Group E a 0 White ‘ A Nonwhite lIlIlllllll 38 37 36 33 31 30 29 Physical Ability l 1 Pre Post Time Dropout Group A— ~A 0 White A Nonwhite Illllllllll 28 38 37 36 35 33 32 31 30 29 28 Physical Ability l 1 Pre Post Time Control Group 0 0 White A Nonwhite ‘3 lllrrllljll Self Pre Post Time Figure 6 Concept of Physical Ability by Race 60 Tota self conce t Compared to regular education students, special education students had lower total self concept scores, especially those among the dropout group. However, due to the small sample size any' conclusions based. upon this data are tenuous. Overall means and the statistical analysis can be seen in Table 16. There were no interactions between this factor and group status nor did total self concept change as a result of the running program. 61 Table 16 Teta; Selr Cencept by Educational Programming Pretest Posttest 9:929 2 99 M 99 Experimental regular ed (16) 33.1 4.5 32.8 4.5 special ed (6) 30.1 6.7 32.8 4.1 Control regular ed (9) 32.6 4.3 33.7 4.0 special ed (2) 29.6 5.0 33.7 6.6 Dropout regular ed (16) 31.0 4.3 32.0 3.5 special ed (2) 21.5 2.2 22.7 7.7 Analysis of Variance Source 9; E Between subjects Within Cells 45 (33.16) Group 2 4.90* Spec Ed 1 6.66* Grp X Spec Ed 2 2.60 TIIii< .05. my Values enclosed in parentheses represent mean square errors. CHAPTER V DISCUSSION AND CONCLUSIONS S sea The four experimental hypotheses were not supported by the data in this experiment. They will now be reviewed in greater detail starting with physical fitness measures. Children showed no increase their aerobic capacity as a result of participation in the Running Club. Succinctly stated, the effect of the independent variable (running) was insufficient to produce a significant change in aerobic capacity. Although the exact reasons for this are unknown, it is suspected that experimental subjects were unwilling or unable to train at an aerobic level for twenty minutes three afternoons per week. As expected, there were a priori differences between experimental and control subjects on the PACER, likely due to a self selection factor, but not between experimental subjects and those who later dropped out of the study. It is intriguing why the control group showed the greatest amount of improvement on the PACER (3.0 shuttles vs. 1.9 for experimentals) . One hypothesis is that the controls may have been more motivated than experimental subjects who had been running for the previous ten weeks and for whom the novelty 62 63 may have worn thin. They may have also been exercising during their extracurricular activities as Percy, Dziuban, and Martin (1981) suspected in their study. Subjects did not show a significant increase in self concept of physical ability after participating in this study as there were no significant differences among groups at both points of assessment. This may have occurred because children did not have a tangible goal to master and giving them specific feedback about their running was difficult. For the self concept of physical appearance, however, an interesting event occurred. Although there were no overall differences among the. three groups on this factor, both experimental and control subjects improved significantly in comparison to ‘their' pretest levels. 'The control group actually showed the greatest raw score improvement on self concept of physical appearance and improved the most on the :PACER. as well. By participating in the Running Club, experimental subjects may have become more aware of their physical appearance and may have become sensitized to the fact they were not in their ideal condition. They may also have discovered that their appearance>was not what thewaould have liked it to be. There was an interesting trend that showed ‘that; lack. of participation in a formal running' program actually improved the self concept of subjects in the control group, but recall they still received a small, aerobic benefit outside of the intervention. 64 The children showed the most enthusiasm when they raced each other around the school or ran with members of the research team. Subjects were encouraged to develop friendships and to run in small groups. Although it appeared subjects were interested in the social aspects of the Running Club, they did not improve their self concept of peer relations as a result of running after school for ten weeks. A similar finding was noted by McGowan, Jarman, and Pedersen (1974) in their study with seventh grade boys low in self esteem and peer approval. Control subjects and dropouts actually outgained.Running Club participants on the self concept of peer relations, although this difference did not reach significance. This finding could be due to the fact that running is actually a solitary activity, thus making it more difficult for experimental subjects toldevelop their peer relations skills. Additionally, requiring children to be in close proximity to one another and requiring them to follow group norms produced occasion conflict and fighting among experimental subjects. Improvement in total self concept was not observed nor were there differences among experimentals, controls, and dropouts on this factor. This finding was not unexpected and lends support to the revised Marsh and Shavelson (1985) self concept model that is both multifaceted and hierarchical. It also suggests that changes in global aspects of self concept, as assessed in this study, do not often reach significant 65 levels. Research with adults, for example, has shown that exercise is likely to improve self concept only when self concept has been separated into its more specific components (Kaplan, Atkins, & Reinsch, 1984; Sonstroem, 1984). Other than physical appearance, no other self concept factor showed improvement. In sum, the treatment had minimal impact on both aerobic capacity and most self concept factors. Most of the significant findings were interactions among demographic measures, not main effects for treatment conditions, or were a priori differences. Without changes in aerobic capacity, corresponding increases in self concept factors seem less likely to occur. Regardless, a few studies have shown significant changes in self concept without improved.levels of fitness (Heaps, 1978: Leonardson, 1977) and the control group in this study did show a trend toward an increase in self concept. It may be the perception of physical fitness that is the key ingredient in self concept/exercise research rather than actual measured changes. Other research has shown that even with increases in physical fitness (Tuckman & Hinkle, 1986: Hinkle, Tuckman, & Sampson, 1993: Labbe & Welsh, 1993), changes in self concept were only specific to running self efficacy. Reierionenip to aner Studies Results of this study support the five extant studies ‘that. showed little) or insignificant. improvement. in self 66 concept as a result of an aerobic intervention. Unlike research conducted in the late 1970's, (e.g., Bruya, 1977: Martinek, Cheffers, & Zaichkowsky, 1978: Mauser & Reynolds, 1978), a high degree of aerobic intensity was sought and a valid attempt was made to measure it. Results of this research appear to support Hinkle's (1993) contention that running does not have an effect on the psychological functioning of "normal" children. Additionally, the relatively large number of special education students did not show significant improvement in self concept, either. It may well be that a short term running program would have minimal impact on self concept regardless of the population. Those studies that did show improvement in self concept exhibited only time limited effects that generally lasted less than six months after the study (Labbe & Welsh, 1993). Studies may also show decreases in self concept. For example, Martinek, Cheffers, and Zaichkowsky (1978) observed a decline in self concept over the ten weeks of their study for children in grades, three, four, and five, a finding also noted by Tuckman and Hinkle (1986). Although declines were not evident in this study, the number of children from these same grades who may have experienced.this developmental trend may help explain why increases in self concept were not obse rved . 67 Diffiiculties wirn the Study There are many suspected reasons why increases in aerobic fitneSS‘were not found among participants in the Running Club. One possibility may be that ten weeks may not have been long enough to produce a change in aerobic capacity with young children. Previous research (Simons, McGowan, Epstein, & Kupfer, 1985) has shown that eight to ten‘weeks is the minimum duration necessary, although it is important to note that these studies were conducted with older children. Another possibility may be related to the fact that some sessions had to be cancelled because of bad weather. Additionally, a large portion of students did not train all three nights each week because of other after-school commitments. The research team was faced with the dilemma of allowing some students to attend "part time" or dropping them from the Running Club and left to find their own physical activity. We chose to include these students unless they were habitually absent, were behavioral problems, or dropped out on their own accord. Because flexibility is necessary to increase exercise compliance (Doan & Scherman, 1987) , a strong effort was made to minimize the number of dropouts by being as accommodating as possible. Another step we took was to put a minimal emphasis on winning and competition, which typically adds to the drop out rate. Another practical concern for the research team was the 68 issue of adequately supervising the number of participants during all phases of the study. For example, because this was a field study conducted on school property without a track, it was difficult to monitor students' activity when they were in "blind spots" behind the school. Running for the children was probably difficult, and not a "fun" activity. Research has shown adherence to exercise programs among adults is quite limited beyond a couple of months (Dishman, 1988). Why should we expect children to be more disciplined? For many of our subjects, it was their first time running, and they may have underestimated how difficult an activity it was going to be. The large number who dropped out may have needed more reinforcement than nightly snacks or the opportunity of running in two or three weekend races and receiving a t-shirt. Most experimental subjects enjoyed the races and the excitement but found it difficult to run the entire 3.1 miles (5 km). e u o e The large number of dropouts in the study'was unexpected. It certainly was not anticipated that the number of dropouts would exceed the size of the control group and almost equal the size of the experimental group. This occurred even though subjects volunteered to participate in the Running Club and the program was well received and previously established at the elementary school. It is difficult to determine exactly why so many students drOpped out of the study, but their large 69 numbers attest to the difficulty retaining elementary-age children in a formal running program. It may also reflect their unrealistic expectations about running as a fun and easy sport. Running by itself is natural for most children, but commitment to a formal running program has to be developed. For any future research.with children in this.7 - 11 age group to be successful, it will be necessary to keep the number of dropouts to a minimum. Not surprisingly, those who dropped out. had the lowest rating of self concept of physical appearance . Linitatione end Assunpriens ef the Study This study assumed that children gave their best effort on the PACER and.had adequate experience running'itn Practice trials helped to prepare subjects toldo the timed.running, but it is doubtful whether children pushed themselves to obtain maximal results. Some appeared to drop out long before they were truly winded. It was also important which group of children were running together because subjects appeared to perform at the level of their competition. As a control :measure, the trials were segregated by gender whenever possible. On the SDQI, it was assumed children were truthful in their reflections and did not give socially desirable responses or purposefully try to make themselves or the ‘researchers look good or bad. Anonymity, internal controls, 70 and an understanding of the purposes of testing should have reduced social desirability bias. The SDQI may not have been sensitive enough to detect changes in self concept, but it is one of the most multifaceted and researched self concept scales available. A ceiling effect or restriction of range may have occurred, which would limit gains upon posttesting, although the data generally does not support this. Obtaining valid results is a difficulty inherent in any self report measure particularly when one examines self concept. Most children in this sample tended to be positively biased when reporting their self concept, and informal observations confirmed this. For example, the number of laps students reported each night was often physically impossible given the time they were on the playground. As one staff member described it, these children have to live in a fantasy world just to survive. Focusing on all the negatives many of these children confront on a daily basis: poverty, broken homes, drugs, crime, and other maladies, are just some of the challenges that face urban youth. Several assumptions were made with respect to the data. Using a MANOVA to analyze the results, it was assumed the population from which the .data was drawn was normally distributed and the error terms were identically and independently distributed. A pooled standard deviation was used for the three groups, which assumed homogeneity of variance. 71 An explanation why changes in self concept were not evident in this study may be related to the possibility that the self concepts of 8 to 11 year olds are not as differentiated as the Marsh/Shavelson (1985) model proposes. Elementary age children may not be able to see themselves as good in one area and not quite so good in another. At this age, their thinking is more concrete and less differentiated (Piaget, 1952) and there may not yet be fine distinctions in their more global sense of self. Based on our experience, even if the study would have been lengthened beyond ten weeks, it is doubtful whether the students would have had the motivation and determination to train at an aerobic level. Running is difficult, and many of the students held misperceptions regarding how much fun it would be. During most sessions, the subjects did not appear to push themselves and took a break after running only two or three laps around the school. Once children ran a few laps, it was even harder to get them to continue running: many of them walked. This occurred even though we taught children how ‘to take their pulse and emphasized the need to train in a therapeutic range. A chart published by the American Heart .Association showing age and training zones was posted in the gymnasium to emphasize this point. The bottom line is that it is very difficult to do field research of this nature with elementary youngsters. No matter which kind of research paradigm is used, our experiences 72 suggest that more adults are needed to supervise children this age to keep them on task. Suggeetiene for Future Research To advance research in this area, stronger experimental designs are needed. with larger sample sizes and. random assignment to treatment conditions. As with any research endeavor, strong efforts need to be made to keep dropouts to a minimum. In addition, studies on exercise and psychological variables should be extended beyond ten weeks. conducting field research within a school setting is usually difficult because student and administrative cooperation is not always axiomatic. Future researchers should address these potential obstacles and may want to assess children for longer time periods in order to examine longitudinal and developmental effects of exercise. Research should also focus on students with special education placements as they produced some of the lowest self concept scores in this study. Conversely, it would have been .illuminating to take a group of elite runners and analyze the impact such an intervention would have upon them. All ennbjects did not respond to the treatment in the same manner, .and.there were some excellent runners among this group. Some of them received trophies at local road races. The next study in this genre should find a way to motivate children to run, verify that a training effect has been achieved, and then 73 measure psychological factors in addition to self concept. Two examples that quickly come to mind are depression and anxiety. It would also be helpful to provide more frequent, tangible reinforcement such as food or juice and have enough staff to accurately monitor the training activities of the participants. We made an informal attempt to record progress by having children report their own laps, but there was no way of knowing for sure whether their reports were accurate. There are several changes in methodology that would improve field studies and help shed more light on the relationship between aerobic activity and self concept development in children. As mentioned previously, one way to increase fitness would be to extend the study beyond ten weeks. The best time to conduct a similar study would be in the fall when the weather is more favorable to outdoor activities. Because the weather is too unpredictable for consistent outdoor activities, having facilities for indoor running would be desirable, something that was not available for the research reported here. As an alternative to extending the length of running programs, an option would be to lengthen the program to a full hour each night instead of 45 minutes. Much of the club time was taken up waiting for subjects to arrive in the gym from class or other after school activities, taking roll, and doing stretching exercises. Announcements and a cool down period 74 at the end of the workout, although essential, cut into the exercise period. In all, children were on the playground for about half an hour each night with about twenty minutes devoted to actual running. However, because of the age of the children, a longer nightly session may exceed their interest level and actually decrease their motivation and enjoyment for running. It may also have the untoward effect of producing more behavior problems, more dropouts, and possibly more injuries. Regardless of how the study was extended, the children would still have to train at a sufficient intensity to achieve an aerobic benefit. This level is approximately 70-85% of maximum heart rate and.has tolbe performed for at least twenty minutes, three to four times per week (American College of Sports Medicine, 1978: Cooper, 1978: Martin & Dubbert, 1987). The researchers in this study found that this objective was very difficult to obtain. A positive feature of research of this nature is that it 'was a field study conducted in a typical urban, elementary school setting under natural conditions. This factor promotes external validity and encourages replication under different conditions. A playground is something most schools possess and instruments like the PACER and the SDQI are inexpensively and easily administered. These items may lack the sophistication of a treadmill, heart monitoring, or body «composition testing, but they are generally accurate in their 75 results. Children need little equipment to run beside a good pair of track shoes, shorts, and a t-shirt. Although this study did not find an immediate increase in self concept as a result of children's participation in a running program, replications of this kind of research, with modifications, are well within the domain of investigators seeking to extend our knowledge in this area. Snnnary and Coneiueiene After undergoing ten weeks of an after school running program, experimental subjects comprised of children 7 to 11 year olds did not increase their level of aerobic capacity beyond pretest levels. There were significant differences on PACER performance between experimental and control subjects, but these differences existed at baseline and were likely attributable to a self selection factor. Likewise, changes were not observed in the self concept factors of physical ability and peer relations. However, physical appearance ratings did increase as a result of the intervention, although the control group also showed improvement on this factor. According to the Marsh and Shavelson (1985) hierarchical model of self concept, factors :most sensitive to the intervention and lower in the hierarchy (i.e., physical ability, physical appearance) should be the more amenable to change. Conversely, self concept factors :more superior in the hierarchy such as total self concept or 76 nonacademic/academic self concept would less likely be altered as a result of a specific intervention. This belief was supported as total self concept did not show any increase among subjects. Regular education students scored higher than special education students on the PACER at both pre and post testing, but there was no interaction between educational programming and treatment condition for this variable. Special education students also rated themselves significantly lower on physical ability, a finding that was congruent with their actual PACER performance. Nonwhite subjects produced higher scores on the PACER, but this difference was also observed at pretesting. Minorities also rated themselves higher on the self concept of physical ability. Two interactions occurred in the analysis for the self concept of physical ability and physical appearance. These were related to treatment condition, gender, and race. For physical ability, female dropouts gained a significant amount over pretest levels while male dropouts lost ground upon posttesting. For physical appearance, nonwhite control subjects showed a significant increase in their ratings while white control subjects were unchanged in their ratings from pretest to posttest. For some subgroups, lack of participation in the program appeared to have beneficial effects. This may have occurred because their self concepts remained unchallenged because they had nothing to compare 77 themselves with and did not receive any feedback. One could hypothesize that young children are quite impressionable and that interventions at this age would likely be effective. This may be true in some sorts, but modifications in self concept take time and are not always linear. Changes may be based more on highly salient events during one's formative years such as repeated school failure, early childhood trauma, parenting practices, and chronic medical conditions rather than on small, short term interventions. It could be that children have to run consistently for at least three or more months before an increase in self concept.becomes apparent, an idea that awaits further exploration. The Running Club was only one small study in an area where few studies exist. Many more are needed before we can .know with great certainty how and whether aerobic activity affects children's self concepts. APPENDIX A CONSENT FORMS 78 Dear Parent: 4/15/94 I am a graduate student at Michigan State University and will be conducting a study at Bingham Elementary School. ‘This year in conjunction with the Running Club, I will be collecting data regarding self concept and physical fitness. As you may know, your child will be running three nights a week (Tuesdays, Wednesdays, and Thursdays) from 3:00 to 3:50 pm. The length of the program is ten weeks. As part of my study, your child will complete a self concept inventory and a test of aerobic capacity both before and after participation in the Running Club. Testing and physical fitness assessment should take between two to three hours in addition to the after school program. Your son or daughter's participation is strictly voluntary and he/she may drop out of the study or elect not to participate in certain procedures at any time without penalty. Your child may participate in the Running Club without taking part in this study. The results of this research will be held in strict confidence with only this researcher knowledgeable of individual responses. It may be necessary for me to have access to school files in order to obtain basic demographic information such as phone numbers and date of births. When results are presented, it will be in such a way that individual students cannot be identified. Upon request, results will be made available to you and your child. It is anticipated participants will become more physically fit and feel better about themselves as a result of this study, however I cannot guarantee this will happen. If you have any questions or concerns about this study, I can be reached at 332-4158 or through.the office at Bingham School at 325-6770. You indicate your voluntary agreement for your child's participation by completing and returning this form. Signed Date Child's Name Thank you for your cooperation with this study. Sincerely, Laska Lewis Running Club Supervisor Jeffrey S. Sonnega Michigan State University graduate student 79 Dear Parent: 4/15/94 I am a graduate student at Michigan State University and will be conducting a study at Bingham Elementary School. Your son or daughter has been selected to participate in a control group to children in Laska Lewis’s after school Running Club. I amlasking'your assistance in allowing your child to complete a paper and pencil measure of self concept and to participate in a field test of physical fitness. Your child will be measured twice with.these instruments: once in.April and.again in June. Total testing time to complete these instruments is approximately one to two hours. Data form studies like this have potential benefit for all children by providing educators with a better understanding on the relationship between aerobic capacity and self concept development. Your son or daughter's participation is strictly voluntary and he/she may drop out of the study or elect not to participate in certain procedures at any time without penalty. Your child may participate in the Running Club without taking part in this study. The results of this research will be held in strict confidence with only this researcher knowledgeable of individual responses. It may be necessary for me to have access to school files in order to obtain basic demographic information such as phone numbers and date of births. When results are presented, it will be in such a way that individual students cannot be identified. Upon request, results will be made available to you and your child. If you have any questions or concerns about this study, I can be reached at 332-4158 or through the office at Bingham School at 325-6770. You indicate your voluntary agreement for your child's participation by completing and returning this form. Signed Date Child’s Name Thank you for your cooperation with this study. Sincerely, Laska Lewis Running Club Supervisor Jeffrey S. Sonnega Michigan State University graduate student APPENDIX B INTRODUCTORY LETTER AND PROGRAM RULES 21919 9911991». DISTRICT Committed to Quality PERMISSION FOR PANICIPATION IN m BINGHAM SCHWL RUNNING CLUB I give my permission for my child to participate in this year‘s Bingham School Running Club. I understand they will meet each Tuesday, Wednesday and ~ Thursday after school from 3:00-3:50 In. I understand it is my responsibility to provide safe transfer name, either by walking, riding, etc. . . . Signed Date Phone I would be willing to help during the year. RETURN SIM BY TUESDAY, APRIL 51 1994. 80 Bingham Elementary School 121 Bingham Street Lansing, Michigan 48912 A” taunt nhmrtunltu Diets-Jr! LANSING m March 1994 DISTRICT Committed to Quality HINGE”! scsoor. RUNNING CLUB Dear Parents, Your child has shown sane interest in participation in our Bingham School Running Club this year. As you may or may not be aware, several years ago the club was started, with approximately 60 students from grades 3-5. We were running 3 days per week either before breakfast or before lunch. When we needed more time for running, we moved the program to after school hours (3:00-3:50p). During the 3 month period, a number of students ran in several area races and thoroughly enjoyed and benefitted frm the experience. The 'icing on the calte'L came in June, however, when we had 30 students run in the Michigan Run, held in downtown Lansing. Running is a difficult sport that takes much commitment, determination, and courage. Your child will most definitely benefit from involvement because it will strengthen these character building areas, and she/he will become physically fit and healthier at the same time. This year‘s club will begin running April 6. We will run 3 days per week, after school from 3:00- 3:50. The days will be Tuesdays, Wednesdays, and Thursdays. There is little cost involved in participation in this club. When we chose area races to participate in, there will be a reduced entry fee. You may chose to have your child run if it' s convenient both monetarily 8 timewise. We have many generous sponsors in the business calamity so please don' t be intimidated by a cost factor. 81 Bingham Elementary School 121 Bingham Street Lansing, Michigan 48912 A9: 5.3.2.21 Damn-runny Dish-{rt M SCHOOL DISTRICT Committed to Quality If you would like your child to participate in this club, please read and discuss this information and the Rules and Guidelines with your child. Return the gig permission slip no later than Tuesday, April 5. Your child cannot participate without your written permission. You will also find attached, another permission slip for Wis participation in a research project, from 148an g club. This should be a neat experience to see if, in fact involvement increases. self-esteem and physical fitness. Please sign for permission and call if you have any questions. (325-6770) Thank you. S erely Laska Lewis Running Club Supervisor RULES AND GUIDELINES FOR BINGHM RUNNING CLUB 1. Either running or tennis type shoes mustbe worn while running. 2. All absences must have a written excuse from parents or caregivers. 3. After 2 unexcused absences, the student will be. dismissed from the club. 4 . Student' s must continue to behave appropriately in their classrooms and keep their school work up to their teacher ‘ s satisfaction. If these. two classroan‘ standards are not kept up, student will be dismissed from the club! NOTE: If it's raining, we will cancel W's Club unless ' it is just sprinkling and warm. Please be advised of this so that your child can be sure of what to do on rain days. 82 Bingham Elementary School 121 Bingham Street Lansing, Michigan 48912 APPENDIX C DEMOGRAPHIC DATA SHEET DEMOGRAPHIC DATA SHEET Student’s Name 83 Address (street) phone # date of birth age grade sex ethnicity ( Asian, White, (optional) Black, Other) Hispanic, APPENDIX D PROGRESSIVE AEROBIC CARDIOVASCULAR ENDURANCE RUN (PACER) 84 —“ 2. Run to Other and 1. Rudy. 302'" l 3 x . x x x I X x X ' X X I x 39m x 000000 000000 —_ 3. Sup 4. Rim to other and j,‘ x X X X X X X 1.0.! >x x 000000 000005“ 5. loop I. “And so on... x T— ® x X X E X 2: 1‘ 000000 000000 XX x-Mwn 00W Flynn l. mandamus. APPENDIX E Self Description Questionnaire I (SDQI) 85 SELF oescmmow oussnoumuss "‘9’. ........ - G Nam Boy .......... Girl .......... Year Age Sdaool Teach" Thisisechsncetolookatyounelf. hhmamTheumnofifinmandmwillhm diflmamfiemdutyourmfiowhwyoufulshoutyouneltPLEASEDONOTTALK ABOUTYOUR ANSWERSWITl-l ANYONE ELSE. We willkeepyouraruworspriveumdnotmm toenyone. Whenyouareresdytobegin,p|euereldudnmwiddecldeyourm.(Youmayreadquietlyto younelfaslrudeloud.) Thereerefivepoaiblemsforesdtstation--"True","l=else",md throeminbenmen Theromfhreboxesnexttoeachantenoe,oneforeadiofmemm mmwfitunetdwmpofdieboxa. Clmoeeyourm mammdptnaticklilinthe boxunderdtemyouchoou. DONOTnyyourmroutloudortalkaboutitwithanyoneela. Beforeyoustantherearethne www.mwmmMWMom-a mmtoshowyouhowmdoit.lndwdlirdoneyoumehooeeyourownmendmtinyour owntickIJ). so“. nus: MY FALSE, MY. FALSE FALSE “v TRUE "I'RUE 11m TR“ EXAMPLES 1. ”tsunami...“ 1 [:1 IZJIZIEZIIil' (Bob put a tick in the box under the «our "TRUE". This mean that he really Iikestoreadoomic books. If Bob did not like to read comic books very meta. he would have mud “FALSE" or ”MOST LY FALSE".) 2. ..,.....,.......,.....y 2 EEIIZ’JIZIlflz (Bob mud "SOMETIMES FALSE, SOMETIMES TRUE" because he is not very neat, but he is notvery may either.) 3. Itummtv. 3 DEEDS: (Forthis mm youhavemchoocdtetwwerdmisbatforyou. Firstyoumundecideifthe m is “TRUE" or "FALSE" or m in betwi’m. If you really like to watch TN. 1 lot you would arswer‘TRUE" by burning a tick in the lastbox. lfyou Matching T.V. you would M'TALsybyouttingaddt hdmefmboxlfyourmrisminbemmenyou wouldchooeeomoftheodwrd'meboxes.) Ifyoummmdtmgemmyoumwvoummmdwfickmdmamwuckin mboxondnmwlirw.Forallmembeerdmyourtidtisontheunelimathem youareamrering. Youshould haveommmdonlyomamwerforesdim.oonothmom anyofdtem lfyouhweenyquenionsputup yourhandflumoverthepsgeend begin. Onoeyouhavemrted. PLEASE DONOTTALK. ©nw.uuuut.o.m. 11.de .181 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 21. 23. 24. 25. 26. . lamgoodlooking 86 I'm good at all SHOOL SUBJECTS .................... Ianrunfast I get good marks in READING ..................... My parents understand me I hate MATHEMATICS Ihave Iotsoffriends I like the way I look I enjoy doing work in all SCI-IDOL SUBJECTS .... I like to run and play hard I like READING My parents are usually unhappy or disappointed with what I do Work in MATHEMATICS is easy for me .............. I make friends easily lhavea pleasant looking {ace lgetgoodmarks in all SCHOOLSUBJECTS~ ...... Ihatesportsandgarnes I'm good at READING I like my parents I look forward to MATHEMATICS ..................... Mostkidshavemorefriendsthanldo ............. .. I am a nice looking person I hate all SCHOOL SJBJECTS ............................. I enjoy sportsand games I am interested in READING My parents like me my “- "“3 MY PM. PALS! PALS! aoau- TRUE TIUE TILE 'EZIEZIC'ZHZIEII' 2EIZ'IHZIIIZICZ'II’ 3E3DEICID3 4E:JC3L':JE3[:4 S’CZICIICIEICZIS GEJEZ'JEZICIICZIG 7DCIHZIDCZI7 all-JCJCIEIEJB 9IZHZHIIIC3E9 ”DEEDS“? "DECIDED" 121213513312 niZHZIEJCIIEIn “mascara“ ISL—.IE'ZIIZZIIZIDIS massacre WCZICZIEZZIIZIEZIW wEiEICJCJCJw wEZICIEIIZIZIw mEZIIZIIZIEJIZIzo m:n::1u:1c:n:1m nECJEIEIEJn mCZIIZICIICZIEZIn «Emmi-Jan aEIIZIEHZJCst mIZIZIEIJIZIEDm 51. 52. . Other kids want me to be their friend ............ . I am m in all SCHOOL SIBJECTS ............. 87 I get good marks in MATHEMATICS .................. I get along with other kids easily ....................... Idolotsofimportmtthings I am ugly . I learn thing quickly in all SCHOOL SUBJECTS . lhavegoodrnusclas I am dumb at READING Ill have children of my own I want to bring them up like my parents raised me I am interested in MATHEMATICS ..................... I am easy to like Overall lam nogood Other kids think I am good looking .................... I am interested in all $I'DOL SUNECTS ......... Iamgoodatsports . I enjoy doing work in READING ........................ Myparantsandlspendalotoftimetogether ...... I learn thine! quickly in MATHEMATICS .......... In general I like being dummy I am .... .............. lhavaagoodlookingbody I can run a long way without stopping -............... . Work in READING iseasyforme ................... . My params are easy to talk to .... I like MATHEMATICS I have more friends than most Other kids scan- has: an?“ FALSE. my ears: SAGE “5. nos TRUE ”IIIEZIIEIIZI E2327 uEZICIHZHZIEm anJCIlCZlCICle aoIZJEZIIZICIIEIIm NEEDED” ”CHEESE!” MISSED” “DECIDED“ ”DECIDED” ”EDDIE-III!“ ”DEL—JEEP” ”DECIDED-”'8 ”DEEDS” “CHINESE” “DEEMED“ “DEEDS“? “DEE—JED“ «:1 [:1 [:1 :1 Eu 45l:l:ll—___ll:ll:."l45 “DEL-IDES“ 47:: :1 I: I: :1» «DDDDEM «EJCZIEZIIZIIZ49 massage» mClCICICICJa szIIlEIEICIEIlsz 74. 75. . Ilookforwardto READING . I'm good at MATHEMATICS . Ican'tdoanythingriwt 88 . Overalllhavealottobaproudof..._.................. I'mbatterlookingthanmostcfmyfrlands......... I look forward to all SCHOOL SUBJECTS ..... lamagoodathleta I get along well with my parents ........................... Iampopularwithkidsofmyownapmm...“ Ihavenicalaaturaslikenoaa.wldeyes,mdhair.. WorkinaIISCHOOLSlBJEC'I’Sise-yforme... I'm good at throwing a ball I hate READING Mypar'antsand I havealotoffmtoythar.......... an. M ”LY RAISE. MY m I“ “- TRUE 1“ aCJEJIEEIIZIsa «Dramas-u ssCZIlZIIZIIZIEss seCJEJEJEICIss' sleZlEZIIZlDIZIsv «Damascus» aEDEDE-‘fl mammals» “IZIEIIEZEIIL—J“ anagram» massacres “DECIDED“ ”DECIDED“ mammals“ . Icandothingsaswellasmostotharpeople ....... 67B S D a E67 .....y..............mmm... ....... 5:] [:1 [3 [:1 :33. Most other kids like me Other people think I am a good person ................. . I like all ”WI. SUBJECTS ........ ............. Alotofthingsaboutmaaregooda ................ . I lean things quickly in READING ...................... I'm as good as most other people .......................... I am dumb at MATHEMATICS ............................ «DECIDE!» massacre nEICICJIZDn mammals» nmmammn nEICICJCJCI. anagram. 76. Whenldosornething,ldoitwell.. .................... 76D D E D E76 LI ST 0F REFERENCES BIBLIOGRAPHY American Alliance for Health, Physical Education, Recreation, and Dance. (1980). alt t i 't e s nanual. Reston, VA: Author. American College of Sports Medicine. (1988). Opinion statement of physical fitness in children and youth. Medicine and W 2.9. 422- 423. American College of Sports Medicine. (1978). The recommended quantity and quality of exercise for developing and maintaining fitness in healthy adults. W in Spoptg, lg, vii-x. Bar-Or, 0. (1983). e ' ' t e act' '0 r' F cm '0 ' 'nc' s ' 'c applications. New York: Springer-Verlag. Berg, K. (1976). Exercise prescription: A practitioner' 5 view. WW 3.. 98- 104. Boreham, C. A., Paliczka, V. J., & Nichols, A. K. (1990). 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LIBRnRIES I" W “WNW1|"HWNWWWW 1 9 013879907 13 22 $3 I