title: Exploring factors that influence work analysis data: A meta-analysis of design choices, purposes, and organizational context.
abstract: 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.
authors: Training Industry, Inc.
authors: Amy M
authors: AM
authors: DuVernet
authors: Department of Management, Driehaus College of Business, DePaul University.
authors: Erich C
authors: EC
authors: Dierdorff
authors: Department of Psychology, NC State University.
authors: Mark A
authors: MA
authors: Wilson
mesh_terms: D006801:Humans; D011361:Professional Competence / Q000706:statistics & numerical data*; D011590:Psychology, Industrial / Q000592:standards*; D012107:Research Design / Q000592:standards*; D000066477:Work Performance / Q000706:statistics & numerical data*