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Kamarulzaman, Wirawani; Ibrahim, Mohd Burhan – Online Submission, 2012
The purpose of this study is to address the gaps in the literature and to examine the predictors of job satisfaction. In this study, the hypothesized predictors influencing one's job satisfaction are a) gender, b) age, c) level of education, d) salary, e) role in the job, and f) years of working in the organization. This study used Minnesota…
Descriptors: Statistical Analysis, Foreign Countries, Job Satisfaction, Multiple Regression Analysis
Marchant, Gregory J.; Johnson, Jessica J. – Online Submission, 2012
This paper explores the PISA [Programme for International Student Assessment] achievement of twenty countries in light of some of their demographic differences. SES [student socioeconomic status], nuclear family, gender, home language, and native status were predictive of achievement for every country. Demographics accounted for as little as 8…
Descriptors: Demography, International Assessment, Comparative Education, Foreign Countries
Chandler, Michele Denise; Chandler, Donald S.; Chandler, Donald S., Jr.; Race, James – Online Submission, 2012
The study examined the relational-behavior survey (RBS) as a predictor of HIV-related parental miscommunication (HPM) among a voluntary sample 75 African American parents at a private healthcare facility located in the southwest region of the United States. A multiple regression analysis indicated that there was significant marginal prediction of…
Descriptors: Acquired Immunodeficiency Syndrome (AIDS), Health Promotion, Multiple Regression Analysis, Predictor Variables
Erarslan, Ayse Burcin – Online Submission, 2009
Using a data from a purposive sample of 216 women and 218 men in Turkey, the relationship between educational attainment and the amount of negative spillover from job-to-home and home-to-job was examined. It was hypothesized that men and women with higher levels of education have less amount of negative spillover in both directions. Certain work…
Descriptors: Family Characteristics, Conflict, Educational Attainment, Multiple Regression Analysis