Prediction Of Effects On Absenteeism Using Hierarchical Multiple Regression Analysis

Thin Thin San, Hlaing Phyu Phyu Mon, War War Myint, Zin Mar Naing

Abstract


Absenteeism has always been one of the persistent problems in organization. Absenteeism is generally understood in different ways by different persons. It is commonly understood as a staff or a group of staffs remaining absent from work either continuously for a long period or repeatedly for short periods. The study has been conducted to understand the causes for the absenteeism in the company among the staffs using hierarchical multiple regression analysis. Hierarchical Multiple Regression Analysis was used to analyze the absenteeism. The parameters such as demographic characteristics (age, education status, marital status, number of children), service and work attitudes (job satisfaction and organizational commitment) are used to predict the effects of staff’s absenteeism in organization.


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