Exploring Factors That Influence Work Analysis Data: A Meta-Analysis of Design Choices, Purposes, and Organizational Context

• 成果类型: Article
• 署名作者: DuVernet, Amy M.; Dierdorff, Erich C.; Wilson, Mark A.
• 署名单位: DePaul University; North Carolina State University
• 刊物名称: JOURNAL OF APPLIED PSYCHOLOGY
• ISSN/ISSBN: 0021-9010
• DOI: 10.1037/a0039084
• 发表日期: 2015
• 页码: 1603-1631
• 关键词: work analysis; job analysis; competency modeling

摘要

Work analysis is fundamental to designing effective human resource systems. The current investigation extends previous research by identifying the differential effects of common design decisions, purposes, and organizational contexts on the data generated by work analyses. The effects of 19 distinct factors that span choices of descriptor, collection method, rating scale, and data source, as well as project purpose and organizational features, are explored. Meta-analytic results cumulated from 205 articles indicate that many of these variables hold significant consequences for work analysis data. Factors pertaining to descriptor choice, collection method, rating scale, and the purpose for conducting the work analysis each showed strong associations with work analysis data. The source of the work analysis information and organizational context in which it was conducted displayed fewer relationships. Findings can be used to inform choices work analysts make about methodology and postcollection evaluations of work analysis information.