The implications of unconfounding multisource performance ratings.
Journal
The Journal of applied psychology
ISSN: 1939-1854
Titre abrégé: J Appl Psychol
Pays: United States
ID NLM: 0222526
Informations de publication
Date de publication:
Mar 2020
Mar 2020
Historique:
pubmed:
23
7
2019
medline:
9
10
2020
entrez:
23
7
2019
Statut:
ppublish
Résumé
The multifaceted structure of multisource job performance ratings has been a subject of research and debate for over 30 years. However, progress in the field has been hampered by the confounding of effects relevant to the measurement design of multisource ratings and, as a consequence, the impact of ratee-, rater-, source-, and dimension-related effects on the reliability of multisource ratings remains unclear. In separate samples obtained from 2 different applications and measurement designs (N₁ [ratees] = 392, N₁ [raters] = 1,495; N₂ [ratees] = 342, N₂ [raters] = 2,636), we, for the first time, unconfounded all systematic effects commonly cited as being relevant to multisource ratings using a Bayesian generalizability theory approach. Our results suggest that the main contributors to the reliability of multisource ratings are source-related and general performance effects that are independent of dimension-related effects. In light of our findings, we discuss the interpretation and application of multisource ratings in organizational contexts. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Identifiants
pubmed: 31328925
pii: 2019-40933-001
doi: 10.1037/apl0000434
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM