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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Main Authors: Shahren, Ahmad Zaidi Adruce, Donald, Stephen, Victoria, Jonathan
Format: Article
Language:English
Published: 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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spelling 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
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Shahren, Ahmad Zaidi Adruce
Donald, Stephen
Victoria, Jonathan
Assessing Gender Disparity in Job Satisfaction: A Bayesian Approach
description 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.
format 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
publisher 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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score 13.211869