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Psychometric Properties of Multisource Performance Ratings: A meta-Analysis of Subordinate, Supervisor, Peer, and Self-Ratings
Abstract
The purpose of this investigation was to examine the psychometric properties (interrater reliabilities within source and correlations between sources) of subordinate, supervisor, peer, and self-ratings of job performance. Different job types and dimension types were compared. Using meta-analytic methodology, we found that subordinates showed the lowest mean reliability (.30) and supervisors showed the highest (.50), with peers in between (.37). Mean correlations between sources were low for subordinate ratings (.22 with supervisor, .22 with peer, and .14 with self-ratings) and for self-ratings (.22 with supervisor and .19 with peer ratings). The mean supervisor-peer correlation was higher at .34. Both reliabilities and correlations between sources tended to be higher for nonmanagerial and lower complexity jobs. Comparisons of between-source correlations with within-source reliabilities indicated that, with some qualifications, the different sources had somewhat different perspectives on performance. Dimension reliabilities differed somewhat for interpersonal and cognitive dimensions.
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- Conway, J. M., & Huffcutt, A. I.
- Venue
- Human Performance
- Publisher
- Informa UK Limited
- Published
- 1997-12
- Volume
- 10
- Issue
- 4
- Pages
- 331-360
- ISSN
- 0895-9285 (ISSN-L)
- 1532-7043
- OpenAlex
- W1994091839
- Cited by
- 469
- References
- 2
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.