This study reports on research which looks for employee and job characteristics which correlate with absenteeism.
A large cross-sectional national probability sample of workers employed for at least 20 hr per week is analyzed (n=1308).
The dependent variable is the number of self-reported absences during the past 14 days.
Thirty-seven independent variables are considered.
Ordinary Least Squares (multiple regressions), two-limit Tobits, and two-part models are used to assess the statistical and practical significance of possible covariates.
Mots-clés Pascal : Amérique du Nord, Amérique, Absentéisme, Prédiction, Modèle, Analyse statistique, Condition travail, Etude comparative, Méthode statistique, Homme, Etats Unis
Mots-clés Pascal anglais : North America, America, Absenteeism, Prediction, Models, Statistical analysis, Working condition, Comparative study, Statistical method, Human, United States
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 91-0567858
Code Inist : 002B30. Création : 199406.