Comparing the Efficacy of Policy-Capturing Weights and Direct Estimates for Predicting Job Choice
Abstract
When studying applicants' job attribute preferences, researchers have used either direct estimates (DE) of importance or regression-derived statistical weights from policy-capturing (PC) studies. Although each methodology has been criticized, no research has examined the efficacy of weights derived from either method for predicting choices among job offers. in this study, participants were assigned to either a DE or PC condition, and weights for 14 attribute preferences were derived. Three weeks later, the participants made choices among hypothetical job offers. as predicted, PC weights outperformed DE weights when a noncompensatory strategy was assumed, and DE weights outperformed PC weights when a compensatory strategy was assumed. Implications for researchers' choice of methodology when studying attribute preferences are discussed. © 2006 Sage Publications.
Recommended Citation
Slaughter, J. E., Richard, E. M., & Martin, J. H. (2006). Comparing the Efficacy of Policy-Capturing Weights and Direct Estimates for Predicting Job Choice. Organizational Research Methods, 9(3), pp. 285-314. SAGE Publications.
The definitive version is available at https://doi.org/10.1177/1094428105279936
Department(s)
Psychological Science
Keywords and Phrases
Job choice; Policy capturing; Recruitment; Research methods
International Standard Serial Number (ISSN)
1552-7425; 1094-4281
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 SAGE Publications, All rights reserved.
Publication Date
01 Jul 2006
