Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach

Shahren, Ahmad Zaidi Adruce and Donald, Stephen and Victoria, Jonathan (2021) Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach. International Journal of Academic Research in Business and Social Sciences, 11 (14). pp. 40-50. ISSN 2222-6990

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This study demonstrates the use of Bayesian independent samples t-test to illustrate gender disparity in job satisfaction. Results from this state-wide study involving over 4000 employees in private companies in Sarawak, Malaysia shows male employees are generally more satisfied in job satisfaction as compared to their female counterparts. This finding casts doubt on the contented female worker paradox, which refers to the notion that although women received fewer job-related benefits in the workplace, they are just as satisfied (or more satisfied) with their jobs. Poor reproducibility of the findings is causing more confusion on gender disparity in job satisfaction. Frequentist approaches have dominated the field of Psychology thus far. Prior researches on gender disparity were centred mainly based on p-values and null hypothesis significant testing (NHST). Instead of making an inference based on a cut-off value of 0.05, it is more intuitive and convincing to illustrate the weight of the evidence favouring a given hypothesis using likelihood ratio of one hypothesis to the other.

Item Type: Article
Uncontrolled Keywords: Job Satisfaction, Bayesian Inference, Gender, Null Hypothesis Significant Testing, Gender Paradox
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Jonathan
Date Deposited: 11 Mar 2021 08:34
Last Modified: 11 Mar 2021 08:34

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