Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach
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...
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Human Resource Management Academic Research Society
2021
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Online Access: | http://ir.unimas.my/id/eprint/34778/1/abstract.pdf http://ir.unimas.my/id/eprint/34778/ https://hrmars.com/papers/detail/IJARBSS/8526 |
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my.unimas.ir.347782021-03-11T08:34:08Z http://ir.unimas.my/id/eprint/34778/ Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach Shahren, Ahmad Zaidi Adruce Donald, Stephen Victoria, Jonathan H Social Sciences (General) 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. Human Resource Management Academic Research Society 2021-01-29 Article PeerReviewed text en http://ir.unimas.my/id/eprint/34778/1/abstract.pdf 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 https://hrmars.com/papers/detail/IJARBSS/8526 10.6007/IJARBSS/v11-i14/8526 |
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H Social Sciences (General) Shahren, Ahmad Zaidi Adruce Donald, Stephen Victoria, Jonathan Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach |
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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. |
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Article |
author |
Shahren, Ahmad Zaidi Adruce Donald, Stephen Victoria, Jonathan |
author_facet |
Shahren, Ahmad Zaidi Adruce Donald, Stephen Victoria, Jonathan |
author_sort |
Shahren, Ahmad Zaidi Adruce |
title |
Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach |
title_short |
Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach |
title_full |
Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach |
title_fullStr |
Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach |
title_full_unstemmed |
Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach |
title_sort |
assessing gender disparity in job satisfaction: a bayesian approach |
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Human Resource Management Academic Research Society |
publishDate |
2021 |
url |
http://ir.unimas.my/id/eprint/34778/1/abstract.pdf http://ir.unimas.my/id/eprint/34778/ https://hrmars.com/papers/detail/IJARBSS/8526 |
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