Influence of cumulation strategies on the long-range prediction of absenteeism

• 成果类型: Article
• 署名作者: Steel, RP; Rentsch, JR
• 署名单位: University System of Ohio; Wright State University Dayton
• 刊物名称: ACADEMY OF MANAGEMENT JOURNAL
• ISSN/ISSBN: 0001-4273
• DOI: 10.5465/256846
• 发表日期: 1995
• 页码: 1616-1634
• 关键词: JOB-SATISFACTION; Meta-analysis; absence; work; stress; STABILITY; attitudes; behaviors; turnover

摘要

The ability of three different types of self-report variables-biographical, attitudinal, and stress-to predict 70 months of absenteeism data was evaluated. Absence scores were aggregated in two different ways, as annualized segments and as longitudinal data cumulations. Biographical variables and attitudinal measures significantly predicted long-term absenteeism. In addition, results suggested that dependency relationships between absence metrics and cumulation periods may affect validational outcomes.