KJCKorea
Journal Central

@article{ART002218313},
author={Lee， Hongki and Myoung, Sungmin},
title={A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={4},
pages={115-122},
doi={10.9708/jksci.2017.22.04.115}

TY - JOUR
AU - Lee， Hongki
AU - Myoung, Sungmin
TI - A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 4
PB - The Korean Society Of Computer And Information
SP - 115
EP - 122
SN - 1598-849X
AB - The purpose of this study was to evaluate the effect of job satisfaction on turnover intention and organizational commitment in nurses through a systematic literature review and meta-analysis. For the study purpose, 26 studies were selected through a systematic process of using several databases and used to estimate the effect size of correlation between 3 variables. Meta-analysis was applied by usingcrandom effects model, and effect sizes on three types were calculated. Results are as follows. First, the effect size of correlation between job satisfaction and turnover intention is -.58. Second, the effect size of correlation between job satisfaction and organizational commitment is .77. Third, for the organizational commitment and turnover intention relationship, the effect of correlation is –0.68. Furthermore, publication bias analysis were assessed the results by using the funnel plot, Egger’s regression test, fail-safe N, and trim-and-fill test. Based on these results, implications for the study were discussed.
KW - Meta analysis;job satisfaction;turnover intention;organizational commitmen
DO - 10.9708/jksci.2017.22.04.115
ER -

Lee， Hongki and Myoung, Sungmin. (2017). A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses. Journal of The Korea Society of Computer and Information, 22(4), 115-122.

Lee， Hongki and Myoung, Sungmin. 2017, "A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses", Journal of The Korea Society of Computer and Information, vol.22, no.4 pp.115-122. Available from: doi:10.9708/jksci.2017.22.04.115

Lee， Hongki, Myoung, Sungmin "A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses" Journal of The Korea Society of Computer and Information 22.4 pp.115-122 (2017) : 115.

Lee， Hongki, Myoung, Sungmin. A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses. 2017; 22(4), 115-122. Available from: doi:10.9708/jksci.2017.22.04.115

Lee， Hongki and Myoung, Sungmin. "A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses" Journal of The Korea Society of Computer and Information 22, no.4 (2017) : 115-122.doi: 10.9708/jksci.2017.22.04.115

Lee， Hongki; Myoung, Sungmin. A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses. Journal of The Korea Society of Computer and Information, 22(4), 115-122. doi: 10.9708/jksci.2017.22.04.115

Lee， Hongki; Myoung, Sungmin. A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses. Journal of The Korea Society of Computer and Information. 2017; 22(4) 115-122. doi: 10.9708/jksci.2017.22.04.115

Lee， Hongki, Myoung, Sungmin. A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses. 2017; 22(4), 115-122. Available from: doi:10.9708/jksci.2017.22.04.115

Lee， Hongki and Myoung, Sungmin. "A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses" Journal of The Korea Society of Computer and Information 22, no.4 (2017) : 115-122.doi: 10.9708/jksci.2017.22.04.115