Prediction Of Effects On Absenteeism Using Hierarchical Multiple Regression Analysis

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


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.

Full Text:


Copyright (c) 2019 Edupedia Publications Pvt Ltd

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


EduPedia Publications Pvt Ltd, D-351, Prem Nagar-2, Suleman Nagar, Kirari, Nagloi, New Delhi PIN-Code 110086, India Through Phone Call us now: +919958037887 or +919557022047

All published Articles are Open Access at

Paper submission: or


Mobile:                  +919557022047 & +919958037887


Journals Maintained and Hosted by

EduPedia Publications (P) Ltd in Association with Other Institutional Partners

Pen2Print and IJR are registered trademark of the Edupedia Publications Pvt Ltd.