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INTERRELATIONSHIPS AMONG LEISURE SATISFACTION, JOB SATISFACTION, AND PERCEIVED QUALITY OF LIFE

The present study attempted to investigate the interrelationships among Leisure Satisfaction, Job Satisfaction, and Perceived Quality of Life. There is little evidence of research in the literature that specifically addresses the contributions of Leisure Satisfaction and Job Satisfaction to overall Perceived Quality of Life. This investigation is different in that it utilized different methods and employed a different combination of instruments in examining the specific contributions of Leisure Satisfaction, Job Satisfaction, and a set of Demographic variables to overall Perceived Quality of Life. / The subjects consisted of 227 employees of an industrial plant engaged in the light manufacture of food products in the North Florida-South Georgia geographical area. The subjects consisted of 180 males (79.3%) and 47 (20.7%) females. Racially their composition was 170 whites (74.9%) and 57 blacks (25.1%). Over 60% of the subjects were in the 26-45 year old age category, while 78.9% were married. Seventy-four percent of the sample had a gross income from their job of $10,001-20,000 in 1981, while 52.4% had a high school education. There were 12 broad occupational levels of employees identified at the plant. they were as follows: executives, managers, supervisors, salesmen, bakers, shippers, truck drivers, clerical workers, mechanics, light machine operators, packers, and other workers. / The subjects were given a research packet containing a demographic questionnaire and three instruments to assess Leisure Satisfaction, Job Satisfaction, and Perceived Quality of Life. The instruments utilized were the Leisure Satisfaction Scale (LSS), the Job Descriptive Index (JDI), and the Life Quality Inventory (QL). The questionnaire consisted of 143 items including the seven demographic items. All three instruments evidenced adequate validity and high reliability. The sample was not randomly drawn. Participation in the study was voluntary. / Pearson Product-Moment Correlation coefficients and multiple regression analysis were the statistical methods employed to test the interrelationships and the contributions of the independent variables (Leisure Satisfaction, Job Satisfaction, and a set of demographic variables) to the dependent variable (Perceived Quality of Life). The Statistical Package for the Social Sciences (SPSS) Program was utilized to analyze all the data. / The results indicated a strong correlation between the overall scores on the Job Descriptive Index and the Life Quality Inventory. The multiple regression equation indicated that Job Satisfaction, as measured on the JDI, was the strongest predictor of overall QL scores, followed by the demographics put into the regression equation as dummies, and then followed by Leisure Satisfaction as measured on the LSS. / The main purpose of this descriptive study was to add baseline data to the body of knowledge in order to hypothesize and develop theoretical models of the Perceived Quality of Life. No attempt was made to generalize the results beyond the sample. / Source: Dissertation Abstracts International, Volume: 42-06, Section: A, page: 2512. / Thesis (Ph.D.)--The Florida State University, 1981.

Identiferoai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_74536
ContributorsURSREY, LAWTON RANDALL., Florida State University
Source SetsFlorida State University
Detected LanguageEnglish
TypeText
Format149 p.
RightsOn campus use only.
RelationDissertation Abstracts International

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