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All Journal MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation
Mark G Maffet
The University of Chicago
Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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THE EFFECT OF JOB DESCRIPTION ON EMPLOYEE PERFORMANCE WITH COMPENSATION AS AN INTERVENING VARIABLE (Case Study on Nurse and Medical Doctor of Chicago District) Jonathan Dingel; Mark G Maffet
MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation Vol. 1 No. 2 (2020): June
Publisher : PT. Radja Intercontinental Publishing | ISSN: XXXX-XXXX

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (790.654 KB) | DOI: 10.59733/medalion.v1i2.12

Abstract

This study aims to determine how the influence of job descriptions on employee performance with compensation as an intervening variable for Nurse and Medical Doctor of Chicago District. The research method used is the method of qualitative data and quantitative data. While the data used is primary data. The method of data analysis in this study uses simple linear regression analysis to obtain a comprehensive picture of the effect of job description variables on employee performance with compensation as an intervening variable for Nurse and Medical Doctor of Chicago District using the SPSS 25 for Windows program. To find out whether there is a significant effect of the independent variable on the dependent variable, a simple linear regression model is used. The results of testing the hypothesis using simple regression analysis and t test show that: that the t-table value of the job description variable is 4.181 > the t-table value (df: 38, α: 5%) is 1.685 so it can be concluded that the job description has a positive effect and significant to employee performance. Furthermore, from table 4.17 it can also be seen that the t-table value of the compensation variable is 1.186 < the t-table value (df: 38, α : 5%) is 2.024 so it can be concluded that compensation has no significant effect on employee performance.
Co-Authors Jonathan Dingel