THE CAUSAL RELATIONSHIP MODEL OF COMPENSATION MANAGEMENT AND JOB SATISFACTION AFFECTING COMPETENCY FOR UNIVERSITY EMPLOYEES AT RAJABHAT UNIVERSITY IN NORTHEASTERN REGION
DOI:
https://doi.org/10.14456/nrru-rdi.2022.75Keywords:
Compensation management, Job satisfaction, CompetencyAbstract
This quantitative research aims to study compensation management, job satisfaction, and competency. A study of structural equation modeling that affects competency of university employees at Rajabhat University in Northeastern region. This study's sample is less than 240 employees with a stratified sampling method. The reliability values of the questionnaire were 0.913. A total of 275 samples were collected in the data collection. Descriptive statistics were used in this study including mean and standard deviation and tested the preliminary agreement by the skewness and the kurtosis. This study is a structural equation model and tests the hypothesis using Pearson's product-moment correlation coefficient, Multiple regression Analysis. The results showed that compensation is moderate level ( =3.40). Job satisfaction is a high level (
=3.94) and competency is the highest level (
=4.37). All variables have normal distribution data that can be analyzed in for the structural equations model. These results are in accordance with hypothesis 1 (H1), hypothesis 2 (H2), and hypothesis 3 (H3) with a statistically significant level of 0.01 and do not accept hypothesis 4 (H4) which compensation can be predicted to job performance as 50 percent and job satisfaction by 27 percent. Therefore, universities should encourage the establishment of appropriate and standardized compensation management policies for employees at Rajabhat University in the Northeastern region.
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