Job postings and the decision to interview: A verbal protocol analysis.
Abstract
The authors investigated the process of deciding whether or not to apply for jobs, using the verbal protocol analysis (VPA) technique. Verbal reports provided by participants as they evaluated job postings and decided whether or not to interview for jobs were analyzed to assess what information was heeded, the impact of incomplete or unusual information, and the role of inferences regarding job characteristics and probability of hire. Results indicated that location and compensation received the most attention and that participants also responded to the amount of information provided. In addition, participants made inferences about unobserved characteristics and probability of hire, although the latter played little role in the decision to interview
Cites (1)
- Basic content analysisWeber, Robert · 1990
Cited by (4)
- CORPORATE SOCIAL PERFORMANCE AND ORGANIZATIONAL ATTRACTIVENESS TO PROSPECTIVE EMPLOYEES.TURBAN, D. B., GREENING, D. W. · 1997 · Academy of Management Journal
- Corporate Social Performance As a Competitive Advantage in Attracting a Quality WorkforceGreening, Daniel W., Turban, Daniel B. · 2000 · Business & Society
- Why Are Individuals Attracted to Organizations?Ehrhart, Karen Holcombe, Ziegert, Jonathan C. · 2005 · Journal of Management
- An Analysis of the Relation between Personality and the Attractiveness of Total Rewards ComponentsVandenberghe, Christian, St-Onge, Sylvie, Robineau, Évelyne · 2008 · Relations industrielles
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Job postings and the decision to interview: A verbal protocol analysis. https://app.cochat.ai/papers/10.1037//0021-9010.78.5.845
- The paper
- Barber, A. E., & Roehling, M. V. (1993). Job postings and the decision to interview: A verbal protocol analysis. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.78.5.845
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.