Modeling error variance in job specification ratings: The influence of rater, job, and organization-level factors

23Citations
Citations of this article
46Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The authors modeled sources of error variance in job specification ratings collected from 3 levels of raters across S organizations (N = 381). Variance components models were used to estimate the variance in ratings attributable to true score (variance between knowledge, skills, abilities, and other characteristics [KSAOs]) and error (KSAO-by-rater and residual variance). Subsequent models partitioned error variance into components related to the organization, position level, and demographic characteristics of the raters. Analyses revealed that the differential ordering of KSAOs by raters was not a function of these characteristics but rather was due to unexplained rating differences among the raters. The implications of these results for job specification and validity transportability are discussed.

Cite

CITATION STYLE

APA

Van Iddekinge, C. H., Putka, D. J., Raymark, P. H., & Eidson, C. E. (2005). Modeling error variance in job specification ratings: The influence of rater, job, and organization-level factors. Journal of Applied Psychology, 90(2), 323–334. https://doi.org/10.1037/0021-9010.90.2.323

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free