Predicting employee absenteeism using tobit regression and OLS model

Subject Areas : روان درمانگری

Hojjattollah Farahani ¹ (PhD Psychologist)
Hamid R. Oreizy ² (PhD Isfahan University)
Mohammad K. Salimizadeh ³ (PhD Allame Tabatabaee University)

Received: 2015-06-05 Accepted : 2015-06-05 Published : 2009-03-21

Keywords: Ordinary Least Squares regression, Tobit, absenteeism,

Abstract :

the results of predicting employee absenteeism based an Ordinary Least Square (OLS) has been criticized. The present research compared the results from predicting absenteeism based on four varibales of job involvement, absenteeism compared to others, stress from life events, and number of children with the OLS and Tobit regression models. A sample of 197 male employees of factories in Esfahan city mean age : 28, SD : 10 responded to the Life Events Stress Inventory (Thoits, 1981), The Absenteeism Compared to Others Inventory (Baba, 1990), and the Job Involvement Inventory (Lodahl & Kejner, 1965). Tobit model analysis predicted employee absenteeism more precisely and explained a furhter 13% of the variance (R2 = 42.1) than did OLS .