Methodological issues in modeling absence: a comparison of least squares and Tobit analyses
Article Abstract:
Predictions of absence made from ordinary least squares (OLS) regression analysis were compared with those made from Tobit analysis (for truncated distributions) in a field survey of 193 male professionals in a large Canadian aerospace organization. In both OLS and Tobit analyses significant predictors of time lost included number of children, comparative absence, job involvement, and life-events stress. Age, comparative absence, job involvement, and life-events stress were significant predictors of absence frequency in the OLS analysis; number of children became an additional predictor in the Tobit analysis. Variance explained increased by 4% for time lost and by 6% for absence frequency when the Tobit model was used. The methodological advantages of using Tobit for truncated distributions and their implications for future research on absence are outlined. (Reprinted by permission of the publisher.)
Publication Name: Journal of Applied Psychology
Subject: Social sciences
ISSN: 0021-9010
Year: 1990
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Smoking as a Moderator of the Relationship between Affective State and Absence from Work
Article Abstract:
The role of smoking as a moderator between affective state and absenteeism is analyzed using female student nurses at two hospitals. Multiple regression analysis was used to demonstrate substantial differences in absences between smokers and non-smokers. In stress smokers, the starting level of affective distress indicated absence levels. Findings indicate that work withdrawal which was linked to affective symptoms existed only with the stress- related smokers. One-way analysis of variance was used to determine types of smoking behavior. Statistical data regarding intercorrelated variables is highlighted in tables.
Publication Name: Journal of Applied Psychology
Subject: Social sciences
ISSN: 0021-9010
Year: 1983
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A meta-analytic review of the relationship between absence and turnover
Article Abstract:
A meta-analysis that combined 33 correlations from 17 studies found a corrected average correlation of .330 between absence and turnover. The type of absence measure did not moderate the covariation between absence and turnover, but industry type and study duration did act as moderators. The results are discussed in the context of the "withdrawal" approach to understanding employee behaviors. (Reprinted by permission of the publisher.)
Publication Name: Journal of Applied Psychology
Subject: Social sciences
ISSN: 0021-9010
Year: 1992
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