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http://dx.doi.org/10.22156/CS4SMB.2019.9.4.078

A Longitudinal Study on the Interrelation between Pay Level and Job Satisfaction of Old Salaried Workers using Latent Growth Modeling  

Choi, Byungwoo (Dep. of Business Administration, Division of International Business, Konkuk Univ.)
Jun, Jae-Hoon (Dep. of Biomedical Engineering, College of Biomedical and Health Science, Konkuk Univ.)
Cho, Yeong Bin (Dep. of Business Administration, Division of International Business, Konkuk Univ.)
Publication Information
Journal of Convergence for Information Technology / v.9, no.4, 2019 , pp. 78-87 More about this Journal
Abstract
The study examined how job satisfaction and pay level can affect on old salary workers over time using longitudinal data and longitudinal data analysis. The KLoSA 6-period panel data was used which contains alternate year from 2006 to 2016. In addition, Gender and Age is also considered as moderating variables. As result, the initial value and the slope of pay level influenced the initial value and the slope of job satisfaction, vice versa. It implicates the two factors of pay level and job satisfaction are interrelated. Based on the results of this study, limitations and suggestions were discussed for further research.
Keywords
Longitudinal Analysis; Latent Growth Modeling; Old Salaried Workers; Job Satisfaction; Pay Level;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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