Abstract
This is a quantative study that aims to examine differentfactors effecting job satisfaction. Thevariables measured as potential predictors are; sociometric status in accordance to sociometer theory, socioeconomic status, personal sense of power and the personality trait extraversion. The data consists of (N= 128) participantsemployed by a medium sized company. This study is based on a similar studyThe Local-Ladder Effect: Social Status and Subjective Well-Being (Anderson, Kraus, Galinsky & Keltner, 2012) which studies Subjective Well-Being and sociometric status. Job satisfactionwas measured by the MSQ (Minnesota Satisfaction Questionnaire). Sociometric status and personal sense of power weremeasured according to similar claims by Anderson, Kraus et al. (2012), further described in detail in the methodssection. Socioeconomic status wasmeasured based on income and educational background. The personality trait extraversion wasmeasured with questions from the personality test IPIP. The question being asked is; what predicts job satisfaction-socioeconomic-or sociometric status? Also what rolethe personality trait extraversion plays as a predictor was a question in this study. The hypothesis is formulated on the basis that the sociometer theory isa better predictor of job satisfactionthan income/socioeconomic statusis. The collected responses from the survey were processed and analyzed in SPSS version 22 through a multiple regression analysis and correlation analyzes. Only personal sense of powerreceived significant support in the regression analysis when all variables were included as predictors, but after a mediation analysis, we received support for sociometric status as a predictor ofjob satisfaction throughpersonal sense of power. The results of the regression analysis (model Enter) showed that personal sense of power was the best predictor of job satisfaction(β =.50, p< .05). Correlationsshowed the same way. The strongest correlation was found between job satisfaction and personal sense of power,which partly explains sociometric status(r =.57, p <.05).
Date of Award | 2014-Dec-04 |
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Original language | Swedish |
Supervisor | Tobias Johansson (Supervisor) & Peter Jönsson (Examiner) |
Courses and Subjects
- Psychology
University credits
- 15 HE credits
Swedish Standard Keywords
- Psychology (501)
- Work Sciences (50903)
Keywords
- job satisfaction
- sociometric status
- personal sense of power
- socioeconomic status
- extraversion