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D. degree in BusinessM _ ‘ Adminis rat on \E/fi— Majo orofes ssor Balm/ll will 0-7639 OVERDUE FINES ARE 25¢ PER DAY PER ITEM Return to book drop to remove this checkout from your record. fr Lvn.|.i.', I!“ r'vil Copyright by THOMAS LENORD KEON 1979 IA [‘15. - AN ASSESSMENT OF THE EFFECT OF STRUCTURE ON JOB DESIGN BY Thomas Lenard Keon , .-.- ' ,ZL’E." fl' ‘1" ’ ’43:) ‘ - ’ '3 firm A DISSERTATION (‘ v5- 5 lected I ‘ I :l“;.’ll" _ H Submitted to ‘ . ' m5 ~ ” Michigan State Universifiy ‘7‘ 3 ““mbln‘d 12' T;n partial fulfillment of the requirement "Q for the degree 6! -* '0” “5°“ ‘0 7&5: 35:... from n“ .;naaia provided 5' “I n s. it 39b to hot . $118.: The c‘i', ."wi Lz‘ t 13.7! ’ 1.. _ t flit-«APE; £113 Mfr'x'gtgmsflo‘f HEW; ‘- s j‘nb and” a on pupportcfi the ggggzhastz . ~ g‘ . ‘V C7 {/6 925— ABSTRACT AN ASSESSMENT OF THE EFFECTS OF STRUCTURE ON JOB DESIGN By Thomas Lenord Keon This study tested the main effects and interaction effects of (l) perceived structure; (2) growth-need strength; and, (3) perceived motivating potential of the job on job satisfaction. The sample consisted of a manufacturing firm (N = 185) and a hospital (n = 62). Employees were selected from all levels and from each department of the two organi- zations. Four hypotheses were tested separately and in a combined form. The combination of the four hypotheses was used to derive expectations of the degree of satisfaction people receive from work. Testing of the first hypothesis provided information on whether workers that perceive the job to be high on the core job dimensions are more satisfied than workers that perceive the job to be low on the core job dimensions. The obtained Pearson product-moment correlation between the motivating-potential score of the job and job satisfaction supported the hypothesis. Thomas L. Keon The second hypothesis was based on only those people whose motivating-potential score fell above the sample median. Workers in this group who had individual differences congruent with the job (high—growth-need strength and moti- vating job) were expected to be more satisfied than those individuals whose growth-need strength were incongruent with the perceived job characteristics. Analysis of variance showed no support for hypothesis two. Hypothesis three was restricted to individuals whose motivating-potential score was low. For these people, it was predicted that the person whose growth-need strength was congruent with perceived organizational structure (low-growth-need strength and high structure) would be more satisfied with work than the individual whose growth- need strength was incongruent with perceived structure. Analysis of variance showed no support for this prediction. Hypothesis four concerned the congruent and incongruent states for jobs perceived to be both high and low in motiva- ting potential. If the individual perceives organizational structure as low, then that individual will be more satisfied with the job than the individual that perceives the structure as high. Pearson product-moment correlations produced an overall lack of support for hypothesis four. When the four hypotheses were tested in combined form using a Spearman rank correlation, the above findings were confirmed; i.e., support was found for only hypothesis one. ACKNOWLEDGMENT It is with deep appreciation that I wish to thank those who helped me complete this work. Linda, my wife, who played a major role by helping, understanding, criticizing, and typing this dissertation. Floyd Willoughby procured the samples and collected the data without which this work could not have been started, never mind finished. Larry Foster, the committee chairman, showed constant concern and interest in this work. He was critical and expedient, two qualities which are needed for completion of such a project. Ken White acted as chairman in Larry's absence. It was his final help that made the finished product possible. He took over with great concern for me and my work. This timely help hastened the process immensely. Finally, the two other committee people, Ira Horowitz and John Wanous, proved to be fine editors and critics. iii ACKNOWLEDGEMENTS LIST OF TABLES LIST OF FIGURES. Chapter I: Chapter II: Chapter III: Chapter IV: TABLE OF CONTENTS INTRODUCTION . . . . . . . . . . . . LITERATURE REVIEW . . . . . . . . . . METHODOLOGY. . . . . . . . . . . . . (3an El Research Design. . . . . . . . . The Sample . . . . . . . . . . Hypotheses . . . . . . The Measurement Instruments. . pl. Task Design. . . . . . . . . 2. Structure. . . . . . . . . . 3. Control. . . . . . . . . 4. Other Variables. . . . . . . Data Collection Method . . . . . RESULTS a o a o a a a I o c o o a I o A. ow Scale Reliabilities and Validity. l O JDS O O I I I I I O O O Q I I 2. Structure . . . . . . . . . . 3. Control . . . . . . . . . Differences Between Organizations Hypotheses. . . . . . . . . . . . l. Hypothesis 1. . . . . . . . . 2. Hypothesis 2. . . . . . . . . 3. Hypothesis 3. . . . . . . . . 4. Hypothesis 4.. . . 5. The Hypotheses Combined . . . iv Page Chapter V: DISCUSSION . . . . . . . . . . . . . . . . . 79 A. Hypothesis 1 . . . . . . . . . . . . . 81 B. Hypothesis 2 . . . . . . . . . . 83 C. Hypothesis 3 . . . . . . . . . 86 . Hypothesis 4 . . . . . . . 87 g. The Combined Hypotheses: : . . . : I . : 88 Chapter VI: CONCLUSIONS . . . . . . . . . . . . . . . . 94 A. Implications for the Theory . . . . . . 94 B. Implications for Future Research. . . . 95 C. Implications for the Practice . . . . . 97 APPENDIX A . . . . . . . . . . . . . . . . . . . . . . . 99 APPENDIX B . . . . . . . . . . . . . . . . . . . . . . . 121 APPENDIX C . . . . . . . . . . . . . . . . . . . . . . . 122 APPENDIX C . . . . . . . . . . . . . . . . . . . . . . . 123 BIBLIOGRAPHY . a a o n o a o o I 0 Q o o o I g I u o g o l 7 9 Table 4-15 4-16 4-17 4-18 4-19 4-20 4-21 4-22 4-23 LIST OF TABLES Definitions of Variables in the JDS . . Definitions of Structural Variables . . Definitions of Control Variables. . . . . Rank-Ordered Predictions of Satisfaction. Sample Description. . . . . . Reliabilities of the JDS Scales . . . . Correlation Matrix of All Variables . . . Correlation Matrix of the Two Subsamples (Manufacturer--top half, Hospital--bottom, Reliabilities in diagonal). . . . High MP8 Analysis of Variance (ANOVA) Dependent Variable--Global Satisfaction . Cell Means for Table 4- 3. . . . . . High MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . . Cell Means for Table 4- 5. . . . High MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . Cell Means for Table 4-7.. High MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . . Cell Means for Table 4-9. . . . . . . . . Low MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . Cell Means for Table 4-11 . Low MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . . Cell Means for Table 4-13 . . . Low MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . . Cell Means for Table 4- 15 . . . Low MPS (ANOVA) Dependent Variable-- Global Satisfaction . . . . . . . . . . Cell Means for Table 4-17 . . . . . . . Pearson Product-Moment Correlations with Global Satisfaction . . . . . . . . . . . Cell Means. . . . . . . . . . . . . . . . Cell Means. . . . . . . . . . . . . . . Cell Means. . . . . . . . . . . . . . . . Cell Means. Page 6, 7 8 . 9 .13,36 . 34 . 46 53 57 . 60 . 60 . 61 . 61 . 62 O 62 . 63 . 63 O 66 . 66 . 67 . 67 . 68 0 68 69 69 72 75 75 76 76 Page 4-24 Rankings of Global Satisfaction for Each of the Structural Variables . . . . . . . 77 4-25 Spearman Rank Correlations between the Rank- Ordered Predictions and the Rank- Ordered Findings for those Ranking 1 to 4 and those Ranking 5 to 8. . . . . . . . . . . . . . . 78 5-1 Comparison of Rank-Ordered Predictions and Result. . . . . . . . . . . . . . . . . 92 APPENDIX D D1 Frequency Distributions: Hierarchy of Authority . . . . . . . . . . . . . 124 D2 Frequency Distributions: Division of Labor . . . . . . . . . . . . 126 D3 Frequency Distributions: Rules and Procedures. . . . . . . . . . . . . . . . . 127 D4 Frequency Distributions: Structure . . . .129,130 D5 Frequency Distributions: Organizational Level . . . . . . . . . . . . . . . . . . . 131 D6 Frequency Distributions: Skill Variety . . 133 D7 Frequency Distributions: Task-Identity . . 134 D8 Frequency Distributions: Task Significance 136 D9 Frequency Distributions: Autonomy. . . . . 137 D10 Frequency Distributions: Feedback from Job . . . . . . . . . . . . . . . . . . . . 139 D11 Frequency Distributions: Feedback from Agents. . . . . . . . . . . . . . . . . . . 140 D12 Frequency Distributions: Dealing with Others. . . . . . . . . . . . . . . . . . . 141 D13 Frequency Distributions: Meaningfulness. . 143 D14 Frequency Distributions: Responsibility. .145,l46 D15 Frequency Distributions: Knowledge of Results . . . . . . . . . . . . . . . . . .147Il48 D16 Frequency Distributions: Global Satisfaction. . . . . . . . . . .-. . . . .150,151 D17 Frequency Distributions: Motivation. . . .152,153 D18 Frequency Distributions: Social Satisfaction. . . . . . . . . . . . . . . 155 D19 Frequency Distributions: Supervisory Satisfaction. . . . . . . . . . . . . . 156 D20 Frequency Distributions: Security Satisfaction. . . . . . . . . . . . . . . . 157 D21 Frequency Distributions: Pay Satisfaction. 158 D22 Frequency Distributions: Propensity to Leave . . . . . . . . . 159 D23 Statistics for Social Satisfaction, Supervisory Satisfaction, Security Satis- faction, Pay Satisfaction, and Propensity to Leave. . . . . . . . . . . . . . . . . . 160 vii D24 025 D26 D27 D28 D29 D30 D31 D32 D33 D34 D35 D36 Frequency Frequency Growth. . Frequency Growth. Frequency Frequency Frequency Frequency Distributions: Satisfaction. . . . Distributions: Distributions: Distributions Distributions: Distributions: Distributions: T-tests and F-tests . . T-tests and F-tests . . T-tests and F-tests . . T-tests and F-tests . T—tests and F-tests . . T-tests and F-tests . . viii Growth 5wéuidi11ké"' Job-Choice MPS . Total Control Output Control. Behavior Control. 171 Page .162,163 . 164 . 165 . 167 168 170 172 175 175 177 LIST OF FIGURES Page Figure 1-1 Hackman and Oldham Model . . . . . . . . . 3 1—2 Interrelations among Variables . . . . . . 11 3-1 Analysis of Variance Presentation of the Variables. . . . . . . . . . . . . . . . . 37 3-2 Venn Diagrams. . . . . . . . . . . . . . .40,4l 3—3 Model of Perceived Job Characteristics, Growth-Need Strength, and Perceived Structure. 0 I O I I O . I O I O I O I O I 44 5-1 Relationships Among the Four Hypotheses. . 79 5—2 ANOVA Presentation of the Variables. . . . 89 ix _ , CHAPTER I INTRODUCTION Goal accomplishment is attempted in organizations by the institution of control systems and the structuring of organizational life through such things as policy, budget, and job design. Ironically, these very things often stifle the innovative behavior necessary on the part of employees to accomplish organization goals (Pierce and Delberg, 1974). Because of this, it is necessary to understand how employee perceptions of (1) control systems and (2) structure f." interact with (3) the individual employee growth needs and 1 (4) perceived job characteristics. This study investigates '— ~._._.,_ the relationships among these four variables. Since the early seventies, Hackman has produced and tested models of job content. His findings, and his ability to pinpoint motivating job characteristics, have distin- guished him in the area of job design. Hackman (1975) identified several factors that can negatively influence a job—change intervention. Two of these factors will be discussed as possible c:onditions contributing to the dampening effect on motivation in the manufacturing worker. Although this study will not be a job-change intervention, the findings may help contribute to the understanding of the job perceptions and the perceptions of 'the job environment. "Readiness" of_the¢individua1mis.one of the factors / that may inhibit the motivational process. If the worker is not ready for the change or does not truly des1re the change, he/ShgnwiIIwnOE respond positively (Hackman, 1975). A worker may have been pleased with a routine job and now may feel pressured by a complex job that requires more thought and skill. Similar outcomes may occur, even though the worker wants to work on a complex job, if he/she views the change as a management decision. When this is the case, Hackman (1975) observes that the change is perceived by the worker as an order by management. These two factors must, therefore, be considered when undertaking a job-change intervention. According to Hackman, one way to evaluate this problem is permit the worker to participate in the job redesign process, which decreases the workers feeling of being controlled by management. Bureaucracy is a second situational issue discussed by Hackman as a possible deterrent to effective job design. If the structure of the organization is dominated by rules and regulations, it is difficult to design jobs with high flexibility. Hackman (1975) addresses this issue and points out that "expecting to achieve a flexible, employee-oriented work system with rigid, bureaucratic procedures that operate strictly from the top down is unrealistic." "Readiness" and bureaucracy emphasize the effect of organization structure and control systems on worker attitude. In particular, control and structure appear to dampen the positive outcomes that are thought to be associated with an enriched job. This study will focus on the impending restraints of controls and bureaucracy in conjunction with the individual and his/her job. The job characteristics model developed by Hackman and Oldham (1975) explains the relationship that exists between an individual and his/her job. Figure 1.-l provides a conceptualization of the job, the individual's psychologi- cal states, and the :related outcomes of motivation, satisfaction, and turnover. ~ HACKMAN AND OLDHAM MODEL Core Job Critical Personal and Dimensions —>Psychologica‘ -Work Outcomes States Skill Variety \ Experienced High Internal Task Identity Meaningfulness Work Motivation of the Work Task Significance High Quality Work Performance Experienced Responsibility Autonomy-———————————.»for Outcomes High Satisfaction of the Work With the Work Knowledge of the Feedback-—————————.> Actual Results of Low Absenteeism the Work Activities and Turnover Employee Growth Need Streno th FIGURE l-l For example, when management chooses to enrich a worker's job, it initiates several job changes. Consider a worker assembling transmissions on an aissembly line whose job is to be changed. The worker would assemble a whole transmission which requires varied skills in several areas. This is indicative of skill variety and task identity (for definitions see Table l-l). Because the transmission plays a large role in the overall functioning of the vehicle being produced, the worker should be aware of the significance of his job. Autonomy is provided to the worker by permitting self-supervision, which gives the worker an opportunity to function independently. Feedback, the last of the five core job dimensions, is attained by testing the transmission upon completion. According to the model, the five core job dimensions are present for the worker in this example, indicating an en- riched job. Hypothetically, the five core job dimensions are expected to enhance the individual's psychological states. Specifically, skill variety, task identity, and task signi- ficance in combination should provide for a meaningful job, while autonomy and feedback are associated with responsibil- ity and knowledge of results, respectively. These three psychological states are important to the model because they affect the individual feelings. The psychological states facilitate certain outcomes, such as internal work motivation, job satisfaction, turnover, and absenteeism. Consequently, job design has become a vital area in management. The job characteristics model does not apply equally well to all workers. Employee growth need has been shown to be a moderator between the core job dimensions and the psychological states, and between the psychological states and the personal and work outcomes (Hackman and Lawler, 1971; Hackman and Oldham, 1976; Oldham, 1976; Wanous, 1974). One way of assuring the "readiness" of an individual to accept a job change (Hackman, 1975) is to use employees that have a desire to grow at work. Hackman and Oldham (1974) presented the following formula to compute a score that reflects the I'motivating potential" of a job: Motivating Skill Task Task Potential- = Variety + Identity + S1gn1f1cance x Autonomy Score (MP5) 3 x Feedback TABLE l-l DEFINITIONS OF VARIABLES IN THE JOB DIAGNOSTIC SURVEY Job Dimensions: Skill Variety. The degree to which a job requires a variety of different activities in carrying out the work, which involves the use of a number of different skills and talents of the employee. Task Identity. The degree to which the job requires completion of a "whole" and identifiable piece of Task Significance. The degree to which the job has a substantial impact on the lives or work of other people—-whether in the organization or in the Autonomy. The degree to which the job provides substantial freedom, independence, and discretion Feedback from the job Itself. The degree to which carrying out the work activities required by the job results in the employee obtaining direct and clear information about the effectiveness of his/her Feedback from Agents. The degree to which the em- ployee receives clear information about his/her performance from supervisors or from coworkers. Dealing with Others. The degree to which the job requires the employee to work closely with other people in carrying out the work activities. Experienced Meaningfulness of the work. The degree to which the employee experiences the job as one which is generally meaningful, valuable, and worth- 1. 2. work. 3. external environment. 4. of the employee. 5. performance. 6. 7. Critical Psychological States: 1. while. 2. Experienced Responsibility for work outcomes. The degree to which the employee feels personally accountable and responsible for the results of the work he/she does. Knowledge of Results. The degree to which the employee knows and understands, on a continuous basis, how effectively heishe is performing the job. Affective Reactions to the Job: 1. Global Satisfaction. An overall measure of the degree to which the employee is satisfied and happy with the job. Internal Work Motivation. The degree to which the employee is self-motivated to perform effectively on the job. Specific Satisfaction. A number of short scales which provide separate measures of satisfaction with: a. job security b. pay and compensation c. peers and coworkers d. supervision e. opportunities for personal growth and develop- ment Individual Growth-Need Strength: The strength of the respondent's desire to obtain "growth" satisfaction from his or her own work (Hackman and Oldham, 1974, pgs. 5 and 6). These scores indicate motivational potential inherent in each job. This formula is only one of the many possible combinations of the five core job characteristics available to express the perceived motivating potential of the job. The above discussion establishes a base for the factors developed by Hackman and Oldham (1974) that influence the job and the individual holding the job. The examples pro- vided above concern themselves with yet two more factors: structure and control. These two variables will be discussed in order to get a clear understanding of their relation- ships. The concept of structure as defined by Child (1972) has three elements: centralization, specialization, and formalization (See Table 1—2). TABLE 1-2 DEFINITIONS OF STRUCTURAL VARIABLES Centralization: The extent to which authority to make decisions affecting the organization .Mris confined to higher levels of the hierarchy. . ' Specialization: The extent to which official duties are divided between and within func- tional areas. 7 Formaliza 1on: The extent to which procedures, rules, and instructions are written (Child, 1974, p. 166). High scores on these elements indicate a high degree of perceived structure by the individual worker. This exemplifies the bureaucratic state, discussed by Hackman, that may prove to stifle the positive effects of an en- riched job. In particular, autonomy may be most affected by perceived structure, weakening the impact of the other core job dimensions that may be present in the task. Control has two dimensions: (1) control of behavior; and (2) control of output (Ouchi, 1978). TABLE 1-3 DEFINITIONS OF CONTROL VARIABLES Behavior control: The extent to which observation is used as a basis for evaluation. Output control: The extent to which records of output form the basis for evaluation (Ouchi, 1978, p. 174). As with structure, employees that feel controlled by the organization may not respond positively to their jobs. Organizational control systems have been generally shown to foster dissatisfaction (Lawler, 1976). Therefore, it is prudent to include the control factor in a model of job design. The above discussion and illustrations establish concern for the role played by organization structures and controls, although many unresolved questions remain. How do structure and control affect job design? Is there a particular core job dimension more affected by control and structure than other core dimensions? Do control and structure directly 10 affect psychological states? Can structure and/or control be thought of as a moderating variable similar to the role of growth-need strength in the model? Job enrichment or job redesign has been the theme of many interventions in the last decade. Unfortunately, the outcomes of these interventions were not always successful. Some may have been due to a lack of readiness of the indi— viduals, or because of the company's bureaucratic structure (Hackman, 1975). Interventions of this nature are costly and time consuming to the organization. For this reason it is important to find the answers to the questions raised above. The variables involved can be considered to account for six possible relationships: (1) organization structure- control system; (2) individual difference-job characteris- tic; (3) the organization structure-job characteristic; (4) organization structure—individual difference; (5) indi- vidual difference—control system; and, (6) control system- job characteristic. All six of these relationships will be explored in this study. The control system is considered to be a function of the organization's structure. Ouchi (1977) found that 33 percent of the variance in control could be accounted for by structural characteristics. Because a control system is a function of structure, high organization structure implies maximum control in a system. Similarly, control is minimal in the presence of 11 low organizational structure. If an organization has a large number of rules and procedures, it is viewed by the workers as controlling (Ouchi, 1977). Figure 1-2 expresses the form the relationship takes when structure and control are viewed as dependent on one another. INTERRELATIONS AMONG VARIABLES Perceived Structural % contrOl \AK Growth—Need 19 Perceived job Strength Characteristics FIGURE 1-2 High structure will produce high control, and both fit best with a routine job (link 3A). The high structure-many controls would be most appropriate for low-growth employees (link 1A). The high-growth employees would best benefit from the low structure-less control organization. The relationship labeled 2A is the job characteristic— growth-need strength match. The employee with high growth strength receives the most satisfaction from a highly motivating job (Wanous, 1974). The combination for this pair would be motivating job-high growth and routine job-low growth. Table 1-4 describes the three possible combinations that can exist between structure, growth-need strength, and job characteristic. The three variables are given as either a match or a mismatch, in the columns to the right of the 12 situational variables. The degree of global satisfaction is ranked in order from highest to lowest. The rank of E is considered the highest because the situation lends itself to perfect congruence. A is ranked second because the person matches the job, which has been shown in the past to have positive results regardless of the structural system (Pierce, Dunham, and Blackburn, 1979). The combination of low structure, high task, and low-growth-need worker is rated third. Even though the person does not match the job, the job and the structural environment will be the most pleasant and motivating in which to work. Situation C ranks fourth because the job is going to be satisfying to the individual, even though perceived structure and growth needs are not perfect matches. Motivating jobs are con— sidered to increase motivation even for the low-growth—need workers. The routine job in the low structure is a mismatch that ranks fifth, because the high-growth-need individual will be expected to be somewhat satisfied with the organi- zational environment. Situations D and H are difficult to rank because they are very close to providing the same degree of satisfaction, but situation D where the person matches both the job and the structure will have a slight edge and will be rated sixth. Situation B is ranked the lowest because the job is routine and consistent with the structure while the individual is high-growth need. The individual does not match the job and may perceive it as never changing because it suits the structure. 13 b o: o: no» 30H 30H 30H m m mom on o: 50H: 30a 30a U m O: mom on 30H no“: 30H m H new mom no» amen 50H: 30H m m mm» mm» mo> 30H 30H saw: a v o: no» on omen 30H amen U m no» 0: 0: 30a amen amen m N on 0: mm» no? :3: :93 < :oflu06mmwumm mo Aoclmoxv Aeolmmwv Accummmv non Hosp musu mcofluoficwum noun: scum: noun: |H>flocH losuum owuooHOIxcmm musuosuum ousuosuum boo Goduosuflm noon IGOmHom IcOmHom ZOHBUnccH uosuum pwumouolxcmm ousuosuum ousuosuum boo cowumsuem noon Icomnom Icemuom ZOHBUflmmHB5 f? O . 3c 5 r. o a V’ A-. .fiFrPro-tu ;;}§ :30 . ‘ H 235% B ' I . FIGURE 3-2 //1 \K w / . \ m .. r/ .- A\ T h ./ ., 42 Cells E, A, G, and C from Figure 3-1 represent motivating jobs and appear in the top half of the diagram in accordance with hypothesis 1. Of the four combinations involving jobs with a high motivating-potential score, situations E and A represent a match between the person and the job (high growth- ‘needs and high MPS). Hypothesis 2 predicts these to be the most satisfying of the motivating jobs. Utilizing hypothe- sis four, the motivating jobs may be rank ordered from highest to lowest as: E, A, G, and C. The routine jobs are differentiated on degree of satisfaction by hypothesis three. Cells F and D illustrate the person-structure match (high structure-low-growth-need person and low struc- ture-high-growth-need person) and will be ranked above cells H and B. Cells F and H are low in structure; there- fore, the final rank order for routine jobs is: F, D, H, and E. Figure 3-3 is provided as a tool for the purpose of assessing the level of job satisfaction that may be expected given a job and an individual. This model starts by asking the question: Does the worker perceive the job to be moti- vating? In accordance with the first hypothesis, it is expected that the jobs perceived as motivating will be more satisfying. If the worker perceives the job as moti- vating, then the focus rests with the growth-need strength of the worker. The high-growth workers are identified by question B as receiving greater satisfaction than the low- growth—need counterpart. If the job is perceived as low 43 in motivating potential, question C differentiates those that are congruent with the perceived structure from those that are incongruent: In this instance congruence between the person and the perceived structure will create the higher degree of satisfaction. Question D is applied to all four groups in order to differentiate on perceived structure. The worker that perceives the structure as low is expected to be more satisfied than those that perceive the structure as rigid. 44 mtm mmDOHm m gunman oz 0 oz m sarcasm} wow 0 o nuxflm .20 m0» 02 m sumahll. o 559.... Z o 02 mom 0 UHflEBIll mm% m ocooom oz 0 mm» m umfim‘ mm» o via manna cowuomwwwumm pm>flwoumm Eoum maawo m0 umpuo xcmm mmumxuo3 umnuo cos» H030H on ou musuosuum may m>woouwm umxHOB may moon . mmusuosnum coHumuflcmmno om>floouom on» can monoclnu3oum m.comumm on» :mm3umn umflxm mucosumcoo moon mmoeumeumuomumno new om>fiwoumm or» can woundinuzonm m.comnom on» cmmzumn umwxo mocosnmcoo moon maneum>wuoe on on ooh on» m>woouom uoxuo3 on» moon HMDBUDMBm Dm>Hm0mmm 02¢ .mawzmmfim DmmZIEBZOmU .mUHBmHmMBUHmUmmm ho AmQOZ c.< 45 The Measurement Instruments Task Design. The Hackman and Oldham (1974) Job Diagnostic Survey (JDS) was used for this study. The JDS measures three areas: (1) core job dimensions; (2) psycho- logical states; and, (3) personal and work outcomes. The reliabilities reported by Hackman and Oldham are presented in Table 3-2, with a breakdown of all the subscales listed under the three main areas above. Structure. Emergent (perceived) structure included three dimensions: (1) hierarchy of authority; (2) division of labor; and, (3) rules and procedures. A review of the literature revealed Hall's (1962) measure of structure as being used most often. In 1971 Duncan revised Hall's scale of perceived structure, 46 TABLE 3-2 RELIABILITIES OF THE JDS SCALES Hackman and Oldham (1974) Present Reliabilities Reliabilities JOB DIMENSIONS Skill Variety .71 .73 Task Identity .59 .60 Task Significance .66 .70 Autonomy .66 .77 Feedback from the Job Itself .71 .73 Feedback from Agents .78 .76 Dealing with Others .59 .61 PSYCHOLOGICAL STATES Experienced Meaningfulness of the Work .74 .75 Experienced Responsibility for the Work .72 .79 Knowledge of Results .76 .74 AFFECTIVE RESPONSES TO THE JOB General Satisfaction .76 .80 Internal Work Motivation .76 .76 Specific Satisfactions: Job Security A .75 Pay A .91 Social .56 .58 Supervisory .79 .85 Growth .84 .79 GROWTH-NEED STRENGTH "Would-like" Format .88 .88 Job-Choice Format .71 .76 A--These scales were added to the JDS after the Hackman and Oldham (1974) publication. 47 and has since taken its place. Most recently, Sathe (1978, p. 231) again revised the scale in an attempt to strengthen Duncan's work. Sathe states two major reasons for the further revisions: First, some of his (Duncan) scales have items containing "can" (allowable or potential behavior), whereas others use "do" (actual behaviors). ... Since the present study attempted to tap the degree of structure actually experienced by indi- viduals in the organization, the items in Duncan's questionnaire were formulated in behavioral terms ("do you," not "can you"). Second, his division of labor and rules and procedures scales had marginal reliabilities. The reliability for Hierarchy of Authority decreased slightly, while Division of Labor and Rules and Procedures increased substantially. Control Although the structural measures include a dimension of control, more specific dimensions of control will be con- sidered. Two types of control reported by McMahon and Ivancevich (1976) can be found by asking respondents: "How much say or influence do each of the three levels of the organization (upper management, middle management, and nonmanagement) have in determining the work goals in the departments in the plant. The response is on a five-point scale ranging from "usually a great deal to say" (1) to "usually no say at all” (5). Because both organizations had only two management levels, first-line supervisors were asked to respond as middle management. The two control dimensions are: 48 (1) Total control: The sum of the three points (top, middle, nonmanagement) that make up the control curve. (2) Distribution of Control Indicator: Calculated by fitting a least-squares regression line to the three points that comprise the curve (McMahon and Ivancevich, 1976, pgs. 73 and 74). Ouchi (1977 and 1978) identified two types of controls that exist in the work place: (1) behavior control and (2) output control. Behavior control is a function of more frequent contact between supervisors and subordinates. Ouchi states that the presence of the supervisor shapes subordinate behavior to reflect the behavior desired by the superior. Subordinates feel their behavior is controlled as a result of this form of supervision. The second form of control is output control. Under this condition the control placed upon the worker comes in the form of units produced and quality of units. The questions developed by Ouchi (1978) were used for this research. Other Variables Propensity to leave was measured as a dependent variable to replace turnover. The scale was developed by Vroom (1964) and was used primarily to investigate its relationship to turnover. Because this study deals with perceptions of the workplace, it seems appropriate to tap perceptions of future work arrangements. 49 Finally, demographic information was collected on a self-report basis. The entire questionnaire appears as Appendix A. Data Collection Method. Data were first collected at the hospital. All of the management people were brought together for an explanation of the study, the instrument, and the results reporting technique. These people were then asked to participate by filling out the questionnaire and by urging subordinates to participate. The management group were asked to read and initial a consent form approved by Michigan State University (see Appendix B). Two days later subordinates were asked to participate in the study. At 7 a.m. the third-shift employees were assembled as they left work and were asked to participate in the study. These workers were given a verbal explanation of the study and consent forms to be initialed. The questionnaire was administered, taking between 20 to 50 minutes to complete. The remainder of that day was spent by asking workers selected at random to participate in the study. When 8 to 12 participants were found, they were assembled together and given the questionnaire. This process was continued until the first and second shift had been tested. The second data collection took place in the manufac- turing firm. On the first day of data collection, the top management people were assembled and given an explanation 50 of the study. It was explained that the questionnaire would be administered at random on a voluntary basis. A brief handout that explained the questionnaire and its uses was given to them (see Appendix C) and its uses. These people were given consent forms to read and initial and were asked to fill out the questionnaire. The next group that was given an explanation of the study was the union officials. They were given the questionnaire and the consent form in order to gain their approval. After the union approved the study, workers were sought after to complete the questionnaires. A brief description of the questionnaire and the study were distributed to employees selected at random (see Appendix C), and they were asked to participate in the study. Groups of 10 to 15 were brought together, given an explanation of the study, a consent form to read and initial, and a questionnaire to fill out. Conference rooms and lunch rooms throughout the plant were used to assemble the groups. On the first after the office and clerical people were sampled until they left at 5 p.m. Second-shift line workers were sampled between 5 and 9 p.m. At midnight the line workers from the third shift were administered questionnaires. On the following morning the first-shift line workers were sampled. Of the 190 employees approached, 185 participated in the study. CHAPTER IV RESULTS SCALE RELIABILITIES AND VALIDITY The frequency distributions, means, and variances for all the scales are presented in Appendix D. These statistics are reported for the total sample and both subsamples. Below is a summary of the scale reliabilities and validities for the three segments of the questionnaire: (1) Job Diagnostic Survey; (2) Structural variables; and, (3) Control variables. Job Diagnostic Survey. Table 4-1 shows the correlation matrix among scales with the scale reliabilities, standard- ized alphas, in the diagonal. The reliabilities for the job ranged from .58 to .91. The reliabilities calculated here were similar to those presented by Hackman and Oldham (1974) (See Table 3-1). Similarly, the interscale correla- tions in Table 4-1 are comparable to those presented by Hackman and Oldham (1974). The correlations between the core job dimensions ranged from .50 to .15 (See Table 4-1). The majority of the cor- relations between scales were moderately low, and all intra- scale reliabilities exceeded the interscale correlations. This is evidence in support of the discriminant validity of the scales. 51 52 The psychological states were found to have the following reliabilities: (l) meaningfulness, .75; (2) responsibility for work outcomes, .79; and, (3) knowl- edge of results, .74. The correlation between responsibility and meaningfulness was .72 as shown in Table 4-1. In each case the correlation between the psychological states were exceeded by the reliability of each of the scales. The personal and work outcome scales yielded relia- bilities ranging from .58 for social satisfaction to .91 for pay satisfaction as shown in Table 4-1. The correla- tions between these scales were moderate to strong, with most of the correlations around .50. Scale reliabilities in each instance exceeded the correlations among the scales. Growth-need strength was measured with two formats: (1) "would like" and (2) job choice. The correlation ad- justed for attentuation was .49 and produced reliabilities of .88 for "would like" and .76 for job choice. Structure. Structure was measured with the elements of: (l) hierarchy of authority; (2) division of labor; (3) rules and procedures; and, (4) a composite of all three. The reliabilities shown in Table 4-1 for these four were .55, .60, .71, and .75 respectively. These reliabilities are similar to those reported by Sathe (1978) as were the interscale correlations. Each of the individual subscales (Hierarchy of Authority, Division of Labor, and Rules and Procedures) produced correlations with the composite 53 oo.uoo Jon... .3. 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Ndflom coouo>ouox cooouoooooom ooboou onus—on nocncoo: auooob Innocence ouoanoz uo coco—Joe: nnoroo goo: ooooouo cocoon Econ xuoncooh non so... noooooon h50:0o:< cocououocoom xnoh nooucov~ unhapOUOnn vac ucozt boned .0 sooon>oo noooogos< uo >£boenco= onsuoauam cooueuorceoo son I «a ca on on w— on ma nu nu an e— at!!! v 0'9 OF. 54 scale that exceeded the reliability of the composite scale, thus questionning the discriminate validity. The correla- tions between the subscales were moderate to low, and none of the interscale correlations exceeded the reliabilities for the scales. Control. As shown in Table 4-1 the reliabilities for the control measures were: (1) total control, -.l4; (2) behavior control, .04; and, (3) output control, .40. These scales were not used in any of the analysis because of the reliability problems.‘ No other published relia- bilities were available on these scaleS. Therefore, no comparative analysis could be made. DIFFERENCES BETWEEN ORGANIZATIONS Appendix D shows the t-tests between organizations for each of the scales. The t-tests indicate that several differences exist between means on the scales. In particular, the structural variables and the satisfaction variables had higher means than the means for the manu- facturing firm. With the large number of rules and pro- cedures that must be adhered to in the hospital, one would expect the structural differences to exist. Because of the differences between the two organizations, steps were taken to eliminate possible confounding. All scales that were used in this study were adjusted by adding a constant to each individual's score. By adding a constant, the variance and distribution of the item is not altered, 55 but the mean is increased by the constant added to equalize the subgroup means. This eliminates mean differences. A further study of Tables 31 to 37 in Appendix D reveals that very few variables differ significantly when the variances are tested. Specifically, "would-like" growth is the only variable that will be used in this study that differs significantly in variance between the two organiza- tions. The difference in educational level (see Table 3-1) between the two organizations may account for the variance differentiation in the "would-like" growth variable. The higher-educated individuals in the hospital may have strong- er desires to grow at work. Further, there are some very low-level employees in the hospital who may have no desire at all for more growth at work. Therefore, it seemed appropriate to combine the two subsamples. Table 4-2 shows the correlation matrix for each of the individual subgroups. In the top half of the matrix the correlations for the manufacturing firm are reported. The lower half of the matrix contains the correlations for the hospital. The scale reliabilities based on the entire sample are in the diagonal. Fisher R to Z transformations were performed, and the 2's were tested for significant differences. The correlations that have asterisks are significantly different (P 5 .05) between the two organiza- tions. The majority of these differences were due to task significance and knowledge of results. The hospital 56 employees that perceived the job as being high on task significance also felt the job was meaningful. This would be expected with the type of work they perform in that they deal with people's lives. These same employees receive a good deal of feedback from patients, increasing the knowledge of results at work. 57 .vOInouuoa no) a o» x hog-oh I too) fiasco coconOuuoo u nonvonocoomo oo.v no .nnA: ono. vo .onA «Ann oo.-so .25 o. .no. v o .noA on Ann 39:59:23. on on on on nn on nn on nn nn on on no no no oo no oo no no oo oo n n n o n o n n o oo oo nn oo on- oo- oo nn- on no on on no oo no oo oo no- no oo oo oo oo- no no no- nn no no no - on «u oo- no- oo- no- no- oo- no no no- oo- no .no no oo- no no- on no no- no- no no- on. no- on no on nn - no on «m- no no no no- no oo no no no oo .no- no .no no no- oo..no no no- .on no no no on- no- no- on- - oo- oo- nn- mm no nn on on- no nn on no no no no nn oo nn no no nn no on no nn on no oo- nn- no- - oo- no- oo- nn mm on on on no- oo no oo no no no no no on no no no nn oo- oo no oo oo- no- on- on- - no- no oo- nn no mm on no on oo on no no no no no on on nn nn no no no on oo oo no no- oo- oo- - no oo- nn- on no oo NM no- on on no no nn oo no no no no on on nn .on no on no on oo oo- oo- oo - oo no nn on- oo- no- oo- mm on- on- no- on- oo- oo- oo- oo- oo- oo on. no- nn- no- no no oo- on .no- oo- no- no- - oo oo nn- oo no no on nn- mm nn on no no no no nn oo nn no no oo no no on no no on no on no - oo oo- oo- nn no no nn nn- no mm no on on no nn on on no no nn on oo on on no no on no- oo no - no no- nn- nn on no no nn- nn oo mM no on no on no nn no nn on on on no oo on no no oo- no no - no no- no- no oo oo- no on- nn nn nn mm on nn nn nn no on no no nn nn nn- no no oo- no no no no - no oo- no- no no on on on- no oo nn no mm on on nn .oo on on oo on .no no nn oo- on on no- no on - no-ono-.on- no no no on oo- on no oo on nn on on on .no oo no on on .nn no on no- oo .oo no no no - no no- no- on on nn no nn- no no oo nn nn no mm on .no on nn nn .nn .on nn oo oo nn on no no no - no oo-ono- on on on no nn- on no on on no on no NM on no no on .no no on nn no- on on no no no u no oo- oo- on no no oo on- no no no no .nn .no .nn nn «N no on on nn nn on oo no- no nn no no no - oo no- no- oo nn on nn nn- on nn no no nn on no oo oo nu oo no no on oo- on no oo no- no- no- oo- - oo- no nn- on nn nn no no- nn nn nn on on nn nn no on on an nn oo oo oo on no no nn no- oo oo - no- no .on- nn no on no on. on on nn no no oo no no on nn nn mm on nn nn on. no- no- on oo- oo oo - oo- no- oo- on on no nn on- on on on no on no no .oo nn nn on on MN on oo oo no on no no- on- on- - no oo- oo- on oo nn .nn on- no oo oo no..nn .nn .no nn no no no on nn on no on no on no oo no no - oo- no-.oo- no no no on no- no on on nn on nn on nn no no no on on on on no no- no no- no no- on - no- oo- no- oo oo no on on- no no oo oo- oo no no nn oo no on nn no no on no nn on no- no- on- nn- - ......” "flown on m a non a a o... m x m a “no" a x m n a no munrmoow ”now o oo nn on- oo- on- oo- no..no no no no no no .no oo- no no no- oo oo nn- oo oo- no- on- no- on no nn on - no no oo- nn- nn- oo- nnr oo no- no- oo- no- oo- no- no- no- oo no- oo oo nn- oo- no- nn- on. on- no mu nn on - no no oo- nn- nn- no- oo no- nn nn on no oo oo no oo no no no on nn- oo- no- nn- on- no- no on Mm on - om nm nm- nm- nm- om- om- nm- nm no no no no no oo- oo no no- no no nn- no- no- nn- nn- on- on nn on mm - on on no on nn on nn on on nn on on no no no oo no oo no no oo oo n n n o n o n n o .3..." d4200‘un “Sh In nhzu~0~hhu00 hhud~l¢~dfl¢ .hd‘: IOFFOG Zn d‘husm0= .nd‘: QOH nth zu tank 08n‘9h01h924! mueat‘wflbm 03h Nth LO K—xh‘t 80—h4duxxou NI. ldn‘h l oOnucou oaooao oOou=ou u0o>ozun neon:ou oon0h Cocoa oooucouoo -noooo>ooo: zuuooo oooozo-ooo £91.30 axon-pozoz :Oouuouoooam guanoo o>ooo cu non-coaooo :Oouuooooncm oOno>oouam coouUQonooem odouom coouuonnooou nuoosoow cooquooooow nun cOoua>ooox coouooonooam oonuoo onocoau nococoo: noooon noncoanoz ouoonoz no oooao)o:x noonuo goo) ocooooo cocoon 60o. xuonoooo non soon nooooooo nt0:0o:‘ oucou -ono:non noon nooocooo snob nuoono> ooonu oo>oo coooouovn noosvovOnn can noon: noouo .0 coono>oo nuooo;o:¢ no nann-ouoa moanuanun econ-nocouno odou—nno= an on as an on mm on mm mm an on on an on no on no no nu oooonno: Inns ozonquouacqt 58 HYPOTHESES The four hypotheses were tested and the results are presented in this segment. Hypothesis 1. Those people that perceive the job to be high on core job dimensions will be more satisfied with the job than those that perceive the job to be low on the core job dimensions. The Pearson product-moment correlation between the perceived motivating potential score and global‘ satisfaction was .49 for the entire sample and both sub- samples. All three correlations were significant beyond the .001 level of probability. These findings strongly support the prediction made by hypothesis 1. Hypothesis 2. When the worker perceives the job to be high on job characteristics, it is expected that the high- ‘growtheneed-employees will be more satisfied with the job than the low—growth-need employees. Four separate analyses of variance were used to test hypothesis 2 for each of the four structural variables. Each of the four ANOVAs were con- ducted using only those people whose perceived motivating- potential score was above the median for the entire sample. The analysis of variance in each case was a two by two with growth-need strength as an independent variable and one of the four structural scales as the other independent variable. Global satisfaction was used as the dependent variable for all the ANOVAs. Table 4-3 shows the analysis of variance results when the independent variables were structure and growth-need 59 strength. A main effect was found for the independent variable, structure, on global satisfaction, but no other significant effects were found. Cell means and sizes are provided in Table 4-4. When the structure variable was replaced with hierarchy of authority, the analysis of variance again produced only one main effect. As shown in Table 4-5, hierarchy of author- ity produced a main effect on global satisfaction. Table 4-6 reports the cell means for the analysis of variance in Table 4-5. The analysis of variance with division of labor and growth-need strength as independent variables, with global satisfaction as the dependent variable, is shown in Table 4-7. No significant effects were found. An examination of the cell means in Table 4-8 indicates that three of the four cells had equal means, while the fourth cell varied from the other three by .16 standard deviations. The final structural variable used as an independent variable was rules and procedures. As indicated in Table 4-9, there were no significant effects for the independent variables on global satisfaction. The cell means are reported in Table 4-10. The results do not support hypothesis 2, which predicted a growth-need strength main effect. Instead, the structural variables produced main effects, or no effects were produced at all. 60 TABLE 4-3 HIGH MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Mean Source of Variation 2: Sguare E Sig. Main Effects 2 2.500 2.464 .089 Structure (ST) 1 4.783 4.714 .032 Growth-need Strength (GS) l .122 .121 .729 2-Way Interactions l .104 .103 .749 ST by GS l .104 .103 .749 Explained 3 1.701 1.677 .176 Residual 120 1.015 TOTAL 123 1.031 TABLE 4-4 CELL MEANS FOR TABLE 4-3 Structure high low . 5.5 5.2 High N = 32 N = 48 GNS ‘ 5.7 5.2 LOW N = 20 N = 24 61 TABLE 4-5 HIGH MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Mean Source of Variation 23 Sguare E Main Effects 2 3.937 3.974 Hierarchy of Authority (HA) 1 7.656 7.729 Growth-Need Strength (GS) 1 .067 .067 2-Way Interactions 1 .109 .110 HA by GS l .109 .110 Explained 3 2.661 2.686 Residual 120 .991 TOTAL 123 1.031 TABLE 4-6 CELL MEANS FOR TABLE 4-5 Hierarchy of Authority high low . 5.6 5.1 High N = 32 N = 48 GNS 5.7 5.1 L°W N = 21 N = 23 62 TABLE 4-7 HIGH MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Mean Source of Variation DE Sguare E Main Effects 2 .159 .151 Division of Labor (DL) 1 .101 .096 Growth-Need Strength (G8) 1 .228 .216 2-Way Interactions 1 .194 .184 DL by GS 1 .194 .184 Explained 3 .171 .162 Residual 120 1.053 TABLE 4-8 CELL MEANS FOR TABLE 4-7 Division of Labor high low . 5.3 5.3 High N = 37 N = 43 GNS Low 5.3 5.5 N = 22 , N = 22 E3 .860 .758 .643 .668 .668 .922 63 TABLE 4-9 HIGH MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Mean Source of Variation Q§_ Sguare E Sig. Main Effects 2 .423 .403 670 Rules and Proce- dures (RP) 1 .628 .598 .441 Growth-Need Strength (GS) 1 .271 .258 .612 2-Way Interactions l .009 .009 .925 RP by G8 1 .009 .009 .925 Explained 3 .285 .271 .846 Residual 120 1.050 TOTAL 123 1.031 TABLE 4-10 CELL MEANS FOR TABLE 4-9 Rules and Procedures high low . 5.4 5.3 High N = 33 N = 47 GNS 5.5 5.4 L°W N = 15 N = 29 64 Hypothesis 3. When the individual perceives the job to below on core job dimensions, the workers that have growth- need strengths congruent with the perceived structure will be more satisfied with work than the employees with growth- need strengths incongruent with perceived structure. These analyses were performed only on those people that perceived their jobs as low in the core job characteristics. Four separate analyses of variance were performed using each of the four structural variables as an independent variable, and growth-need strength as the second independent variable with global satisfaction as the dependent variable. Table 4-11 shows that when structure is used as the independent variable, no significant effects are found. Cell means for the ANOVA are reported in Table 4-12. The analysis of variance with hierarchy of authority and growth-need strength on global satisfaction is shown in Table 4-13. The structural variable hierarchy of authority produced a significant main effect, but no other significant effects were encountered. Table 4-14 reports cell means and cell sizes for the ANOVA in the preceding table. When division of labor is used as the structural variable, no significant effects are observed. The ANOVA is shown in Table 4-15, and the accompanying cell means are reported in Table 4-16. The last test of hypothesis 3 used rules and procedures and growth-need strength as independent variables on global 65 satisfaction. Table 4-17 reports no significant effects for this ANOVA. The cell means and sizes are shown in Table 4-18. The hypothesis predicted an interaction effect, and no interactions proved to be significant. An inspection of the cell means show that the low-growth-need people were always the most satisfied. The match of person and structure predicted to be second of the four was normally lowest. The structural main effect dampened the prediction of hypothesis 3 producing mixed results with no support of the hypothesis. 66 TABLE 4-11 LOW MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Mean Source of Variation DE Sguare E Main Effects 2 2.552 1.673 Structure (ST) 1 2.699 1.770 Growth-Need Strength (GS) 1 2.535 1.662 2-Way Interactions 1 .307 .201 ST by GS 1 .307 .201 Explained 3 1.803 1.182 Residual 119 1.525 TOTAL 122 1.532- TABLE 4-12 CELL MEANS FOR TABLE 4-11 Structure High ‘Low . 4.1 4.0 High N = 26 N = 19 GNS 4.5 4.1 LOW N = 43 _ N = 35 £19- .192 .186 .200 .655 .655 .320 67 TABLE 4-13 LOW MPS ANALYSIS OF VARIANCE Dependent Variable--Globa1 Satisfaction Mean Source of Variation DE, Sguare Main Effects 2 6.980 Hierarchy of Authority (HA) 1 11.557 Growth-Need Strength (G8) 1 1.147 2-Way Interactions l .277 HA by GS 1 .277 Explained 3 4.746 Residual 119 1.451 TOTAL 122 1.532 TABLE 4-14 CELL MEANS FOR TABLE 4-13 High GNS Low ['11 4.811 7.965 .791 .191 .191 3.271 Hierarchy of Authority High Low 4.5 3.7 N = 19 N = 26 4.6 N = 44 N 4.0 =1 68 TABLE 4-15 LOW MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Source of Variation Main Effects Divison of Labor (DL) Growth-Need Strength (GS) 2-Way Interactions DL by GS Explained Residual TOTAL Mean D§_ Sguare g Sig. 2 1.902 1.256 .288 1 1.400 .925 .338 1 2.367 1.564 .214 1 2.940 1.942 .166 1 2.940 1.942 .166 3 2.248 1.485 .222 119 1.514 122 1.532 TABLE 4-16 CELL MEANS FOR TABLE 4-15 Division of Labor High Low High 3.8 4.4 N = 27 N = 18 GNS 4.4 4.3 L°w N = 46 N = 32 69 TABLE 4-17 LOW MPS ANALYSIS OF VARIANCE Dependent Variable--Global Satisfaction Mean Source of Variation 2: Sguare E Sig. Main Effects 2 2.588 1.695 .188 Rules and Procedures (RP) 1 2.772 1.815 .180 Growth-Need Strength (GS) 1 2.302 1.508 .222 2-Way Interactions l .002 .001 .973 RP by GS 1 .002 .001 .973 Explained 3 1.726 1.130 .340 Residual 119 1.527 TOTAL 122 1.532 TABLE 4-18 CELL MEANS FOR TABLE 4-17 Rules and Procedures High Low . 4.2 3.9 High N = 21 N = 2% GNS ‘ Low 4.5 4.2 N = 38 N = 40 7O Hypothesis 4. To test hypothesis 4, the sample was broken down into four groups. The four groups are: (1) individuals that perceive the job to be high on core job dimensions and are high-growth-need people; (2) individuals that perceive the job to be high on core job dimensions and are low-growth-need people; (3) individuals that perceive the job as low on core job dimensions and are high-growth- need people in a structure they perceive as low, or are low-growth-need people in a structure they perceive as high; and, (4) individuals that perceive the job as low on core job dimensions and are low-growth-need people in a structure they perceive as low, or are high-growth-need people in a structure they perceive as high.. The hypothesis predicted that in each of these four groups, the person that perceived the structure to be low would be more satisfied With the job than the person that perceived the structure as high. Pearson product-moment correlations were calculated between each of the structural variables and global satis- faction within each group. For groups 3 and 4, when a specific structural variable was correlated with global satisfaction, the same structural variable was used to designate whether that person perceived the structure as high or low. Therefore, when division of labor was correla- ted with global satisfaction, the structural element used to classify the individual as perceiving the structure as high or low was also division of labor. The correlations are reported in Table 4-19. 71 Only the fourth group (Table 4-19) proved to support the hypothesis. The overall finding show no support for hypothesis 4. 72 TABLE 4-19 PEARSON PRODUCT-MOMENT CORRELATIONS WITH GLOBAL SATISFACTION Structural Variable Structure Hierarchy of Authority High GNS Diviéon of Labor Rules and Procedures High MPS Structure Hierarchy of Authority Low GNS Division of Labor Rules and Procedures Structure Hierarchy of Person-Structure Authority .Congruence Division of - Labor Rules and Procedures Low MPS Structure Hierarchy of Person-Structure Authority Incongruence Divison of Labor Rules and Pro- cedures *.*p < .01 .18 .16 .06 .17 _ .12 .22 -.11 .14 .41** .40** .09 -.05 .03 -.22 -.19 73 The Hypotheses Combined. To test the predicted rankings of global satisfaction in Table 1-4, the means for each of the eight combinations of high and low perceptions of motivating-potential scores, high and low perceived structure, and high- and low-growth-need strength were calculated. The means are presented in Tables 4-20 to 4-23. To distinguish each of the separate combinations, Figure 3-2 was used to report the means. The cells were rank ordered from highest (representing the greatest degree of global satisfaction) to lowest (representing the least degree of global satis- faction). The rank orders for each structural measure and the order predicted from Table 1-4 are shown in Table 4-24. To test the accuracy of the predictions, a Spearman rank correlation was performed between the predicted rank order and the actual rank produced in the analysis for each of the four structural variables. Four significant correla- tions with the prediction were: (1) structure, .66, p 4 .05; (2) hierarchy of authority, .65, p 4,.05; (3) division of labor, .87, p 4;.01; and, (4) rules and procedures, .65, 1p < .05. These results support the predicted rank order based on the four hypotheses. Because only one of the four hypotheses was supported by the sample data, further analysis was performed. Spearman rank correlations were conducted on the predicted order for those that perceive the job as high, and again for those 74 that perceive the job as low. The results, reported in Table 4-25, show negative correlations. This further analysis shows that the predicted order for the two sub- groups (1ow MPS-high MPS) was incorrect. These Spearman rank correlations parallel the tests of the hypotheses above and provide further support of hypothesis 1, but no support for the other three. GNS GNS 75 TABLE 4-20 CELL MEANS Structure high low MP8 MP8 High Low High Low H. h 5.5 4.1 5.2 4.0 19 N = 32 N = 26 N = 48 N = 19 L w 5.7 4.5 5.2 4.1 0 N = 20 N = 43 N = 24 N = 35 TABLE 4-21 CELL MEANS Hierarchy of Authority high low MP8 MP5 High Low High Low . 5.6 A 4 s 4.1 3.7 High N = 32 N = 19 N = 48 N = 26 Low 5 7 4.6 5.1 4.0 N = 21 N = 44 N = 23 N = 34 GNS GNS 76 TABLE 4-22 CELL MEANS Division of Labor high low MP8 MP5 ‘High Low High Low . 5.3 3.8 5.3 4.4 High N = 37 N = 27 N = 43 N = 18 Low 5.3 4.4 5.5 4.3 N = 22 J N = 46 N = 22 N = 32 TABLE 4-23 CELL MEANS Rules and Procedures high low MP8 MP8 High Low High Low . 5.4 4.2 5.3 3.9 High N = 33 N = 21 N = 47 N = 24 Low 5.5 4.5 5.4 4.2 N = 15 N = 38 N = 29 N = 40 77 m.o m m m.o m m m.m h n m.w n m m m.m m m m o m m.m m m m m a m H a o O m.m H m.m m.m m 0 m.m m N N m < o m m.m m.m H m monopoooom Honma mo -Nunoonuo< mo muouoonum noun mnbmav mHHoO pom moaom c0nmn>no uncooomnm moonxoom cmuonpoom mOZH&Z QHuonm o>HDMme o>HuoHom mo oomsuomwscwz HmuHMmom Mmm nnoomome muHHonus< mo accomowH: monBDmHmBmHo wozmoommm HQ mHmH mem o>H 6 mm o>H m o COHMH>H unwusuommscwz u HHMDH mo: u H m mmw Q noan wo :onH>Ho monBDmHmHmHD Huzmsommm ND mHmHumHom o>HuoHom m>Humem pom mmHom Housuommscmz HmuHmMoz mam monopmoonm pom mmHom mZOHBDMHmBmHD VUZHDOmmm mo mqmdfi 128 All fourteen items from the three scales above were combined to illustrate an overall structural measure. The mean and variance for the entire sample were 46 and 76, for the hospital were 49.9 and 66.2, and for the manu- facturer 44.7 and 73. The frequencies are provided in Table D4 for all groups. The reliability coefficients for the fourteen-item scale are both .75. Table D5 shows a breakdown of the sample by number of 6 people at each level of the organization. The levels were nonmanagement, middle management, and upper management. The frequencies include the total sample and that of each organization. This measures a physical aspect of structure in each of the organizations. 129 m.o m O.o m m.o NH mo m.m HH N.N N m.m NH no m.o m H.m m m.m mH Oo N.N o m.v m O.N h mo O.N OH N.N N m.h OH vv N.N O N.N N N.N N no v.m OH m.O m h.m «H No n.N m m.v m N.m O HO m.m HH O.H H O.v NH ow N.m O O.N O ON N.N O N.N N N.N N am h.N m O.N m on b.N m O.N m Om N.N o O.H o mm m. H o. H on n.N m O.N m mm N.N o O.H H O.N m Nm N.N o O.H v Hm h.N m O.N m on O.H H o. H ON m. H v. H ON m. H o. H «N m. H o. H HN ucoouom wmmommmom ucmonmm moomfimmhm unmoomm hucwswmom muoom hocosqoom wocmoqmom . moomovoum moouoooum o>Hu6Hmm w>HumHom m>HHMHmm umnouomwscoz HmuHmmom Mam mosuosoum mZO H BDm HmBm HD NUZMDOflme v0 BEE 130 0.00H mmH 0.00H NO 0.00H hoN MHmuoe O.H H v. H on m. H v. H OO O. H o. H hO m. H o. H OO N.N N m. N «O m. H v. H MO m. H O.v m O.H o NO H.H N m. N HO O. H N.m N N.H m OO O.H m N.m N O.N O NO O.H m m.O o O.N 5 mm H.H N O.H H N.H M 5m H.H N m. N Om N.N o m.v m O.N n mm N.N m N.N N O.N h om N.m O N.m N N.N m mm O.H m m.o m O.N HH Nm m.v m m.O o m.o NH Hm O.H m O.v m O.N O OO >.N m O.H H v.N O av ucwoomm woooomoom ucooomm hocmsmwum ucoooom wocwnwoom oncom aocwsvoom hocosvoom mocmovouh moouosuum w>HumHom m>HumHom m>HumHmm nououommscoz HmuHmmo: MMQ HpmscHucoov on mqmde 131 Ho>oH HmcoHuonncmmoo mZOHBDmHmBmHD MUZmDOmmm mo mqm<8 0.00H OOH 0.00H NO 0.00H hoN mHmuoe o. o o.o HI n. n venom m.v O m.HH n H.O NH m momma h.NN No H.nm MN m.ON mO N OHUOHZ O.N» OMH 0.0m Hm 0.00 OOH H :02 ucwoumm accosmOHE unwouom Nucwswmom. unooomm mocwsvmoh ucofimmmcoz wocmovonm aocmovmom wocmovmom o>Huonm m>HDMHmm w>HumHmm oomouoomscmz HouHmmom HH< 132 The next set of variables presented will be job dimen- sion scales. Table D6 reports frequencies for the Skill variety job characteristic. The scale is the average of the following items: Section One #4 Section Two #1 #5 (Reverse scored) These three items produced an Alpha and standardized Alpha of .72. The statistics were: M333 Variance Total Sample 4.9 2.4 Hospital. 5.2 2.4 Manufacturer 4.8 2.4 Task Identity reliabilities were both .60. The total sample had a mean of 4.5 and a variance of 2.23. The hospital mean was 5.1 and the variance was 1.6. For the manufacturer the mean and variance were 4.3 and 2.3 respectively. The scale items that were averaged are: Section One # 3 Section Two #11 # 3 (Reverse scored) Table D7 contains the frequencies for the sample and its subparts. TABLE D6 FREQUENCY DISTRIBUTIONS Skill Variety Manufacturer Hos ital All 133 >4 (DO-H >502) HomNNmfi'mmmmvockoOHOr-l ...-4 o o o o o oo o 00 o c o o o o oo o «USU r-h—l mmmmmcmomhhhhmbm IUO‘H -—i H010) (Di-ID.- 06B.- >- g Q) NMHkofi'l‘OI‘O‘r-JO‘OMMQ'MLOMUW :3 r-i HHHHHHHHHH O“ 0) H [L- >- (DO-U >635 OHOCN \boqm ndothvnubcwe' U1 ".4 o no on o o 00 I no. one 115:) «ern nunnw cocamrncrvrnoono KID‘S-l H H HOG) THO- 04E:- >1 0 5 S - (DO-H #2:: caowboanNowaouwmannvwamnonHr~ ...-{mm o o oo o o o one o on .00 000 +350 N MHM¢MM©m©®h©wOmF (BETH u-i H010) THO.- mt:- >1 8 0) NmNmfl'mNmO‘w-HLOIDQI‘OI‘OON :5 v-l HNHHHHNNNv-l O" 0) 84 It.- >- r-JJJCD - H018 OMKDOMKDOMQOMWOMWOMOO H.H o o o o o o o o o o o o o o o o o o 0 XML) HHHNNNMMMQ‘Q‘Q‘LDLOLDOKDKD!‘ mgr/3 185 100.0 100.0 247 100.0 Totals TABLE D7 FREQUENCY DISTRIBUTIONS Manufacturer Hos ital Task Identity All Relative Relative Relative Task 134 >: 04-) CC \OKDNONFMNNQI‘GSDOOOmQ‘N 010) I o o o o o o o o o o o o o o o o o o 50 HHMHMOQ‘MMQONQ‘mI‘mFMLDM U‘S—t 00) HQ- In >1 8 Q) MMOMOmQGOQQQOVI-JMI‘OKD D H an nthaH H- O" (D L4 [:4 >1 U-LJ CC: SON \Dmml‘Nr-‘II‘LHCHIDNH m0) 0 o o o o o o o o o o o o o 0 DO Hm HQ‘Q‘O‘MQO‘DHQWMQ 0"“ N 010) LID- EL.- >1 0 €- 5 n4N Hffifl106VU1m1$FHn1 04--1 :C NNGDCQ‘MOHWO‘HI‘fiMI‘MLfiO‘I-fi mm o o o o o o o o o o o o o o o o o o o 5 U Huncochh~mxoc1mcouwmr-au\1 2 Q) mmr-mOcooxmoxNovmmvmv—INH =03" P‘I I—l NNHNr-INHHI—IH 0) LI In >1 4.) «40) US! omwomoomwomoomwomwc a o oo o oo o 00 o oo o o 0 on. a (DO HHHNNNMMMQ‘Q‘Q‘LDWLOWGW!‘ '00) H 247 100.0 62 100.0 185 100.0 Totals 135 Task significance was attained by averaging item 5 from section one with items 8 and 14 (Reverse scored) of section two. The sample statistics were: Mggg Variance Total Sample 5.7 1.6 Hospital 6.1 1.3 Manufacturer 5.6 1.6 The Alpha coefficient was .69 and the standardized Alpha was .70. The frequency distribution for task signifi- cance is shown in Table D8. The reliabilities associated with autonomy were .77 for both Alpha and standardized Alpha. The items used to calculate reliabilities were: Section One # 2 Section Two # 9 (Reverse scored) #13 The frequency distributions for autonomy may be viewed in Table D9. The total sample had a mean of 4.7 and a variance of 2.2. The statistics for the hospital were a mean of 4.9 and a variance of 2.2. The manufacturing firm produced a mean of 4.7 and a variance of 2.2. 136 0.00H OOH 0.00H NO 0.00H bON mHouoe 0.0N Om O.NN oH H.HN NO O.N N.O 5H 0.0N OH v.mH mm 0.0 O.HH HN O.¢H m H.NH Om m.O 0.0H ON n.m O 0.0H ON 0.0 0.0 OH H.O O 0.0 HN 0.0 0.0 NH 0.0 o 0.0 OH m.O 0.0 OH N.m N m.> OH 0.0 O.N mH m.O OH O.o O.N O O.H H v.N O m.v m.o O N.m O O.v O.N O O.H H v.N O O.m N.N O N.m N O.N n m.m H.H N O. N O.m H.H N O. N O.N O.H m N.H m O.N O. H N.m N N.H m O.N O. H o. H O.H Homouom Hucoowwom ucooowm mwcoovmom ucmonmm Nocummvom ouoom zoomsvoom mucoovmom hocmovwom- oocoo m>HuoHom T>Huonm O>HuoHom IHOHCOHO nooouoomocmz HouHmOom Mam xmoe OOCOOHMHCOHO xmoe mZOHEDmHmBmHD Muzmbommm OD mHm- 04-! 5 5 Nxonqmr-oaOwnu>H1 8 O vroo:v1nu>bcovuncwaunnwoMVuDO-o 5 -anH nthqmrq oi O H m >- 04-3 5 8 O> (VCQOJWHDCVUWFWDCVO\FJDOIVHH 5 o H vwrnnnnmnn\oowvwncuovvrnuwm U‘H n1 H OO HQ.- fix.- a 8 3 r4 choanuooqmr~- 04-3 g 5 O\bdiVCbochnuuhT-anHuwnanonO : o Hrn chrun1 8 O ¢~OouOr-caOruu>mkn04mn4rnnflwwcn a an-annhqcomcuodH O H O E O O crow:ornu>ornu>ornu>ornu>o uao CH .00 0000000000000... 3 O HrnniNcuoarung3vOr- U DU) <2 247 100.0 62 100.0 185 100.0 Totals 138 The last core job dimension is feedback. The Job Diagnostic Survey (JDS) provides for three distinct types of feedback: (1) Feedback from the job; (2) Feedback from agents; and, (3) Dealing with others. Alpha and standard- ized Alpha reliabilities for the first was .73 and the second .76, while Dealing with others had an Alpha of .57 and a standardized Alpha of .61. The frequency distribu- tions for the three scales are given in Tables D10, D11, and D12. Feedback from the job itself was derived by averaging question number 7 from Section one with questions 4 and 12 (Reverse scored) from Section two. The entire sample pro- duced a mean of 4.9 and a variance of 1.7 on the Feedback from job scale. A mean of 4.8 and a variance of 1.8 were calculated from the manufacturing workers. The hospital produced a mean of 5.1 and a variance of 1.5. Question 6 from Section one and questions 7 (Reverse scored) and 10 from Section two were averaged to measure Feedback from agents. The statistics for Feedback from agents were: M333 Variance Total Sample 3.9 2.4 Hospital 4.2 2.5 Manufacturer 3.8 2.3 Dealing with others was a combination of items: 1 from Section one; 2 from Section two and 6 (Reverse scored) from Section two. 139 0.00H OOH 0.00H NO 0.00H NON mHouoe m.o O 0.0 o O.v NH O.N 0.0 HH O.o m h.O oH 0.0 m.v O n.O O h.O OH m.O m.OH OH O.HH n 0.0H ON 0.0 N.O 5H O.HH n n.O ON 0.0 N.O 5H H.O O 0.0 NN m.O 0.0 OH h.m O 0.0 NN 0.0 H.O OH O.HH n 0.0 NN O.v h.m OH n.m O n.m ON m.v O.m h 0.0 o O.v HH O.o o.O OH O.H H O.o HH O.m O.n OH N.m N H.O OH m.m 0.0 HH O.v HH O.m n.N O O.H H O.N O O.N N.N o O.H o O.N N.N v N.m N O.N O O.N O.H H o. H O.H H.H N O. N O.H O.H ucmooom hocwnmoom ucmoomm mocmovwom ucwoomm hocmsvmom Oooom mocwogmoh NUCODUOHO wocmovmum boo Eoom O>HuwHOm O>HOMHOO O>HOMHOO xombwmwm oOoouommocmz HmuHmmo: .flflm bOO ECHO xombOOOh mZOHBDmHmBmHQ MUZMDOmmm GHQ mHm O. H O. H O. N 0.0 N.N O N.O N O.N O 0.0 0.0 O 0.0 O 0.0 HH 0.0 0.0 OH 0.0 O 0.0 OH 0.0 O.N OH 0.0 O O.n OH 0.0 0.0 n >.O O 0.0 OH 0.0 O.h OH N.O O H.O ON 0.0 0.0 n O.HH n h.O OH 0.0 O.HH NN 0.0 O 0.0H ON 0.0 O.> OH N.O N 0.0 OH 0.0 0.0 HH H.O O 0.0 OH 0.0 0.0 NH 0.0 O 0.0 OH 0.0 0.0 NH N.O N h.O OH O.N 0.0 HH O.H H 0.0 NH O.N 0.0 OH O.H H 0.0 HH O.N O.h OH 0.0 O 0.0 OH O.H O.N O N.O N O.N h O.H N.O O N.O N N.O O O.H ucwoowm mocmsvmom HEOCHOO hocmavwnh UCOCHOm hmcmammom OHCCm NCCOCUOHO wocmskum OCCODUOHO muomm< ECHO O>HuoHOm O>HumHOm O>HumHOm xCMCCOOm uwoouommscmz kuHmmCm wflm OOCOO< ECHO xomnOOOh OZOHBDOHOBOHD wozmsommm HHD mHmdfi 141 0.00H OOH 0.00H NO 0.00H nON mHouCB O.NH NO O.NO ON H.HN NO O.h H.OH ON 5.5H HH 0.0H OO 0.0 0.0 OH 0.0 O O.> OH 0.0 0.0H ON 0.0 O h.O ON 0.0 N.O OH H.O O 0.0 NN 0.0 0.0 OH >.O O 0.0 NN 0.0 0.0 O 0.0 O 0.0 NH 0.0 O.> OH 0.0 O 0.0 OH 0.0 0.0 OH 0.0 O 0.0 OH 0.0 0.0 h N.O N 0.0 O 0.0 N.O O O.N O 0.0 O.H O N.H O 0.0 O. H O. H 0.0 O.H O N.H O O.N O.H O O.H H O.H O O.N H.H N O. N O.N O. H O. H O.H O.H O.H ucwoomm Nchmmmom OCOCHOO NCCODOOHO uCOCuOm NCCODOOHO OMCCO OCCODWOHO OCCOSUOHO OCCODOOHO momnuo O>HuoHOO O>HuoHOm O>HumHOm :uH3 omoouoowocmz HmuHmmom .flflm OCHHMOO mowooo Boo; manommo mZOHBDmHmBmHD WUZMDOMfih NHQ MHm.O O 0.0 NN O0.0 0.0 OH N.O N O.> OH 0.0 0.0 OH O.H H 0.0 OH ON.O O.h OH 0.0 O O.> OH 0.0 0.0 HH 0.0 O 0.0 OH O0.0 O.b OH 0.0 OH 0.0 0.0 NH 0.0 NH ON.O 0.0 HH O.H H 0.0 NH 0.0 N.O O O.N O O0.0 O.N O O.H H O.N O 0.0 N.O O O.H H O.N b ON.O N.N O O.H O 0.0 O.N O O.N O ON.N O. H O. H O.N O. H O. H ON.N O.H H O. H O ucmuomo NCCODOOHO HCOCHOO (NCCODOOHO UCOCoOm .NCCOSOOMO OMCCO Oocmovoom OCEODOOHO OCCODOOHO mmOcHsm O>HumHOm O>HumHOm O>HpoHOm IOchmmz omnsuowmscmz HmuHmmC: Mmm mmOcHsmOchmOZ mZOHBDmHmbHQ NUZMDOmmh MHD mqmHOMHOO C>HumHOm O>HOOHOO .IcommOO Hmusuommscoz HmuHmem flmm OuHHHnHOCCmmOm mZOHBDmHMBmHQ VUZMDOmmh OHQ MHmHumHOO O>HumHOm O>HuoHOm ICCmmOm umoouommocmz HmuHmmom MOO owmscouaoov OHo momOe 147 >.O OH 0.0 O 0.0 NN 0.0 O.b OH h.O O h.h OH O0.0 0.0 HH H.OH OH 0.0 HN ON.O O.h OH 0.0H O 0.0 NN 0.0 0.0 NH N.O N N.O OH On.O 0.0 HH 0.0 O N.O OH 0.0 0.0 O 0.0 O 0.0 OH ON.O 0.0 OH O.H H H.O OH 0.0 0.0 OH 0.0 OH On.O 0.0 o 0.0 O 0.0 OH 0.0 O.H O O.H H O.H O ON.O N.N O O.H H O.N O 0.0 O.N O O.N O OO.N O. H O. H O.N H.H N O. N ON.N H.H N O. N O.N O.H H O. H Oh.H O. H O. H O.H O. H O. H ON.H O.H H O. H O OCOCLOO mmowmwmom ucmoowm OCCOJOOHO uCOCoOO mocmnmwum OHCCO OCGOSUOHO mocmovwom OCCODCOHO muHsmOH mo O>HuoHOm O>HuoHOO O>HumHOO OOCOH3CCM Hwosuommocmz HmuHmmCm Mflfl muHsmOm mo OOUOHBCCO OZOHBDOHOBOHO wozmoommm OHQ MHmHumHOO O>HumHOm O>HumHOm OOCOHBCCM umosuomwscmz HmuHmOCm HH< oOwscnucooO moo mom1 2 O HHMHHFmQ‘OOMOl‘WLfimNr-l a H HHI-l 0) H CH JJ c \90 \D NWHONHKD Q) o o o o o o o o I o 8 HH I—i MWWHMWI—l 0) Q4 >4 0 8 5 P4 r-‘IH r-I NvaNl-nv-i 0" 0) H In 4.) C VQ‘Q‘NQ‘Q‘NQ‘WmQ‘NO‘V'Q‘VO‘O‘O‘ Q) o o o o O. o o o o o o o oo o o 00 8 F4 MNHNNHVV‘Q‘NWWV 0) G.- E1 0) HHHMHHGDOVI‘OMNHHOI‘I‘N 5 I-If-Ir-i HHH w 0) Sol Ex.- 0) H NVKOQONQ‘OGONQ‘OQONQ‘kD O o o o O o o o o o o o o o o o o o o o HrdnhHCdNtNCdNrowwmrnng-OHumHOm O>HumHOm O>HumHOm ImHumO owooquOocm: HouHmmC: Mam HMQCHO oomscoucoov ooo mom ---I 4.) HM (Dv—I H0) 501 4..) 0 “3 NH :3 {.1 f6 2 0) > -:--I 4.) (U H r-IG) (do: 4.} -:-1 0‘) O :1: 0) > -H 4.) M H 0) (3!. H H <2 Motiva- Frequency Frequency Frequency tion 152 4.) C Lfil‘ HHHNI‘NNNQO‘Q‘Q‘mHNI‘LfiV Q) o o o o o o o o o o o o o o oo o o o 0 U N Hr—IHNNNNNMLOLDLDMQOO‘OW Ll H 0) Q4 >« 8 Q) HID NNNVMQ‘V‘Q‘K‘HCOI‘LOO‘CDNO 5 HF4F4 Fquqr4H 0" G) H in 4.! C \D \D \DWI‘NK‘Hl-nm Q) o o o o o o o o o o O H H HHmmmoxor-I u .4 H CD Q: >1 0 C. Q) 5 H H v-lv—IKDNWON!‘ 0" HP! (1) H [:4 JJ C Q‘ Q‘ GQQWCWKDWWQ‘Q‘Q‘MONHMI‘Q Q) o o o 0 o o o o o o o o o o o o o o o o O N HNHHHNV‘V‘VMOCHO‘W Ll v-lv—l 0) 0.; >1 8 0) Pl Ln NNNQ‘V‘Q‘VQ‘I‘HHI—Im hmmfi‘l‘ : Hr4F4H Hr4chouH U‘ (D LI In (D \DNQV‘ \DNQQ‘ \DNV‘ 001 H mOHMQ‘OmOHMQ‘OmOHMWva-‘IM O o o o o o o o o o o o o o o o o o o o o O NMMMMMMVQ‘Q‘Q‘Vfl'mmLfimmwmm U) 153 AUmSGHUCOUV hHo mamHumHmm m>Humem m>Humem Im>Huoz “wusuomwscmz HmuHmmo: HH¢ 154 satisfaction scales come from items in Section four. The scales are the average of the following items: social satisfaction #2 and #9; supervisory satisfaction #5, #8, and #14; security satisfaction, #1 and #11; and, pay satisfaction #2 and #9. The propensity to leave scale is the combination of items numbered 9 and lo in Section eight. Social satisfaction reliability coeffi- cients were Alphas of .58, while supervisory satisfaction items produced Alphas of .85. The other three variables were two scale items. Therefore, correlations between items were calculated and adjusted to reliability co- efficients using Spearman and Brown's formula 2r r + 1 . The reliabilities were .78 for security satisfaction, R: .91 for pay satisfaction, and .57 for prOpensity to leave. The mean and variance for these five scales for the three samples are provided in Table D23. Growth satisfaction plays a major role in the job characteristics model. In the Job Diagnostic Survey, it is measured three ways: (1) growth satisfaction; (2) "would-like" growth; and, (3) job-choice growth. Growth satisfaction is a function of averaging items numbered 3, 6, 10, and 13 in Section Four. The Alpha and standardized Alpha coefficients were both .79. The mean for the total sample was 4.7 and a variance of 1.8. 155 o.OOH OOH o.ooH NO o.OOH OON mHmuoe N.O O 0.0 O o.O OH o.O 0.0 O H.OH 0H 0.0 OH 0.0 N.O OH H.OH OH 0.0H ON 0.0 O.HN 0O 0.0N OH 0.0N OO o.O H.OH ON O.HH O 0.0H mm 0.0 O.NH ON N.O N H.OH ON 0.0 0.0 OH 0.0 O 0.0 HN c.O H.O OH H.O OH 0.0 H.O OH N.O N 0.0 OH 0.0 0.0 O N.O O o.O O.H O O.H H O.H O 0.0 H.H N O. N 0.0 H.H N O. N o.O N.O N O. N O.N O.H H O. H O.N O. H O. H O.N O.H O.H O.H O.H H O. H o uswouwm Oucmskum ucwoumm mucmsmmum pcmouom Ooswsmmnm ouoom Oocwsvmum Oocmsvmum Oocmskum coHuommeumm m>HumHmm m>HUMHmm m>HumHmm HmHoom kusuomOocmz HmuHMmom _ mam :ofluommmfiumm HmHoom moneomHmsmHo wozmoommm OHQ mqm« up €38 OxouaOrVoxOCVONOLn1 2 m Ornnwmxboxo\ooxOcvc>Ornc>Ornc\O 5 H .HraHrqoquq U‘ (D u m >« 04.) 6c: \omno Oxo NxoaomxooaOrO IHanim Q) oo o o o o no. 000000000 5!) rdrdH OwH mrdOwnOHnOrOCQO-OGNO U‘H HHH mm HQ. in >1 0 8 D ~4H-4 O.H N.Haridoquoaaochqu U H (D H m >1 0+) 535 <“¢\DCQQHw\DO\¢HhU1fi1@J\P~ (wawan O. .0. 000 0.. 00.00.00. Dc) «MHF4NCVNMOcuOuvwwOr~Or4OwnuwN U‘H H mm HQ. in >4 2 m F4O~O03OrOoxNrOOMHrnouoanDOCVOrO D H riHrqOhHqurnOQH U‘ a) H In t: O ‘3 :38 c>ornu>ornu>ownu>ornu>ornu>ornu>o mag rqthoqmrvc)OonO~rOunuwmxomer~ m -HU) u to U) 100.0 100.0 62 100.0 1 247 Totals 157 0.00H OOH O O O O H N O 0.00H OON mHmuOB O.N O O.H H O.N O 0.0 O.N O 0.0 O 0.0 HH 0.0 0.0N OO 0.00 ON 0.0N HO 0.0 0.0H OH O.HH O 0.0H ON 0.0 0.0H ON 0.0H HH O.NH HO 0.0 0.0H ON 0.0 O 0.0 ON 0.0 H.O OH 0.0 O 0.0 OH 0.0 0.0 OH 0.0 OH 0.0 0.0 OH 0.0 OH 0.0 0.0 O 0.0 O O.N 0.0 O 0.0 O 0.0 HH O.N O.H O O.H H O.H O O.H 0.0 O N.O O O.H O.H . H O. H O acmoumm Oucmswmum usmoumm mucmammum usmoumm mwcmnmwum wuoom hocmsvmum Oucmsvmum hocmsvmum coHuomOmHumm m>HumHmm m>HuMme m>Humem OuHusowm Hmusuommscmz kuHMmom mmw :oHuommmHumm OuHusowm OZOHBDOHOBOHO wuzmaommm 0ND MHmHHMHmm 0>HUMHmm m>HMMHmm Own HwHDHUMODGMZ HmuHmmom mam coHuommmHumm Omm mZOHBDmHmBmHQ wuzmaommh HND MHQme ou m>Humem w>HHMHmm w>HUMHmm OuHmcwmoum amusuomOscmz HmuHmmom mwfl w>qu ou OuHmcmmoum mZOHBDMHmBmHD VUZWDOmmm NNQ mqm<fi 160 TABLE D23 STATISTICS FOR SOCIAL SATISFACTION, SUPERVISORY SATISFACTION, SECURITY SATISFACTION, PAY SATISFACTION, AND PROPENSITY TO LEAVE Mean Variance Social Satisfaction All 5.5 1.0 Hospital 5.8 1.5 Manufacturer 5.4 .82 Supervisory Satisfaction All 4.8 2.5 Hospital 5.1 2.7 Manufacturer 4.6 2.4 Security Satisfaction All 4.7 2.3 Hospital 5.2 1.8 Manufacturer 4.5 2.4 Pay Satisfaction All 3.8 3.3 Hospital 4.0 3.1 Manufacturer 3.8 3.4 Propensity to Leave All 5.6 3.5 Hospital 5.0 4.8 Manufacturer 5.8 3.0 161 For the hospital the mean was 5.1 and the variance 1.7. The manufacturer had a mean and variance of 4.6 and 1.8 respectively. The frequency distributions for growth satisfaction is displayed in Table D24. "Would-like" growth produced a mean of 5.6 and a variance of 1.6 for the entire sample. When broken into its subparts the mean and variance turn out to be 5.6 and 1.3 for the manufacturer and 5.5 and 2.5 for the hospital. The scale is the average of items numbered 2, 3, 6, 8, 10, and 11 from Section six. The reliabilities for "would- like" growth are Alpha .88 and standardized Alpha of .88. For the distribution of "would-like" growth refer to Table D25. Job-choice growth is computed using twelve pairs of jobs that the subjects are asked to choose between from Section seven. The items scored in a reverse fashion are numbered 2, 3, 4, 6, 8, and 9. The items that are direct scored are numbered 1, 5, 7, 10, 11, and 12. The frequency distributions for job-choice growth is reported in Table D26. A .76 reliability was obtained by both Alpha and standardized Alpha coefficients. The statistics for job choice were: Mean Variance Total Sample 3.1 .28 Hospital 3.1 .19 Manufacturer 3.1 .31 Relative Frequency Percent Manufacturer Frequency 162 an-iv—INOo—i l‘GflWkOQ‘Mmmmmmfi' HHNI-lv-‘l NVMI‘HLOQ‘LOWVOOH I-lv-i Hos ital Relative Frequency Percent TABLE D24 Frequency HcvnwOajN U3mr~QWfic>mw400m¢VC>H H O1 F4Fl F4NCV \o O N u: NtflhhHrdmchun O O O O O O C O O O O C O ,H H O O1 «nnflvmcnOHOonO .H :4 H N F4 oamcvuwmrnn1NHUMHmm 0>HumHmm m>Humem :H3ouw amusuommscmz HmUHmmom Adm 164 0.00H OOH 0.00H NO 0.00H OON mHmuoe 53 mm m.mm Mm «.2 E o; IO.O 0.0N OO O.NN OH H.ON OO 0.0 IO.O N.ON OO 0.0H NH O.NN OO 0.0 IO.O H.OH ON 0.0H O N.O OO 0.0 IO.O 0.0 O N.O N 0.0 O 0.0 IO.N O. H O. H O.N IO.H O.H H O. H O unmouwm mocwsmmum ucwuumm Nocwswmum usmoumm hocmsmmum mHm>umucH Oocmsvmum Oucwnqmum mocmskum muoom nuzouo m>HumHmm m>HUMHmm w>Humem =mxHHIOH503= umusuomOscmz HmuHmmom HH< . £H30Hmv : mxflglcdsoz: monBDmHmBmHo NuszOmmm ONO mHm¢B 165 0.00H OOH 0.00H O.NO 0.00H OON meuoe N.N O O.H O 0.0 IO.O O.NN NO 0.0N 0.0H 0.0N OO 0.0 IO.O 0.00 OHH O.HO 0.00 0.00 NOH 0.0 IO.N O. HH O.HN N.ON 0.0 ON O.N IO.N ucmoumm Nocwswmum unwoumm wouwsvmum unwoumm ‘Nocumwmuh mHm>kucH Oocmskum Oocmsvmum Oocmsvmum muoom :u3ouo m>HumHmm m>HuMHmm w>HpmHmm ononulbon amusuommscmz HmuHmmom HHO nuzouw woflonounou moneomHmemHa wozmaommm O NO WHmdB 166 The Motivating-Potential Score (MP8) is calculated by the formula below: Skill Task Task Variety + Identity + Significance x Autonomy x Feedback MP8 = 3 from job Table D27 shows the frequency distribution for the motiva- ting-potential score. The reliability of the motivating- potential score was .83. The total sample mean was 124.9 and a variance of 4367.8. The mean and variance for the hospital were 142.7 and 4348.7, and for the manufacturer are 118.9 and 5,056.2. The last set of scales are those that deal with control: total control, output control, and behavior control. Total control like the MP8 is a conceptual measure which is the combination of first set of items numbered 1, 2, and 3 in Section ten of the questionnaire. The total control measure produced a reliability of -.14. The distributions of scores are reported in Table D28. The mean and variance for the total sample are 8.2 and 3.1. For the hospital they are 7.9 and 3, and for the manufacturer they are 8.3 and 3.1. Table D29 shows the frequency distributions of output control for the total sample, the hospital, and the manu- facturer. The reliability coefficient produced using the Spearman-Brown formula was determined to be .04. Output control was the combination of items 1 and 3 of the 167 0.00H OOH 0.00H NO 0.00H OON mHmuOB N.N O O.H O OOOIHON 0.0 O O.HH O H.O OH OONIHON 0.0 OH 0.0 O 0.0 OH OONIHHN 0.0 OH 0.0H O 0.0 ON OHNIHOH 0.0 OH 0.0 O 0.0 ON OOHuHOH 0.0H ON 0.0H HH N.OH OO OOHIHNH O.NH ON 0.0H HH 0.0H OO ONHIHO 0.0H ON O.HH O 0.0H OO OOIHO 0.0H NO H.O O 0.0H OO OOIHO N.O OH N.O N 0.0 OH OOIH unmoumm Noamawmum acmoumm Oocmswmnm usmouwm Nucmzvmum pmmmmHHoo Oocmsvmum Oocmsvmum mocwzvmum mHOUm m>Humem m>Humem m>HumHmm mm: umusuumwscmz HmuHmmom mam mm: WZOHBDmHmBmHD NUZMDOMMK ONO MHm€B 168 0.00H OOH 0.00H NO 0.00H OON mHmuoa OH O. H O. H OH O. H O. H OH O.H O N.H O NH 0.0 OH 0.0 O H.O ON HH 0.0 OH 0.0 O H.O ON OH 0.0N OO N.ON OH 0.0N OO O H.HN OO 0.0H HH N.ON OO O 0.0H OO O.HN OH 0.0H OO O H.O OH 0.0 O 0.0 HN O O.N O 0.0 O 0.0 HH O O.H H O. H O O. H O. H O N H O. H O. H O unwouwm \Nocwswwum unmoumm .choswwum unwouwm Owcwmwwum wuoom Oocmskum Oocmsvmum Oucmskum Houucou w>Humem 0>Humem m>Humem Hmuoe “wusuomuscmz HmUHmmo: Houucoo annoy mZOHBDmHmBmHO MOZODOOMO ONO MHOHumHmm m>Humem m>HumHmm usmuso HGHDHUMODCMZ HmuHmmom MMQ Houucoo usmuso OZOHBDOHOBOHQ wuzmbdmmm ONO mHmHumem 0>HumHmm m>HHMHmm HOH>mnmm HmHDuommscmz HmuHmmom mam Houucoo uoH>wnmm mZOHBDmHMBmHO NUZODOOOO COO OHO