Senior-executive performance: Interrater reliability and rater effects in multi-source ratings

This article explores interrater reliability and rater effects in performance ratings at the senior‐executive level. Studies have shown that substantial rater effects affect the validity of multi‐source ratings, but it is unclear whether these effects hold true at the senior‐executive level. We pres...

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Veröffentlicht in:Asia Pacific journal of human resources 2011-12, Vol.49 (4), p.425-439
Hauptverfasser: Hutchison, Ann, Burch, Giles St J
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Burch, Giles St J
description This article explores interrater reliability and rater effects in performance ratings at the senior‐executive level. Studies have shown that substantial rater effects affect the validity of multi‐source ratings, but it is unclear whether these effects hold true at the senior‐executive level. We present a study of 189 senior executives in New Zealand and Australia, whose performance was rated by an average of 4.23 raters: superiors, peers, and subordinates. Intra‐class correlation coefficients revealed strong rater effects, and a multi‐trait multi‐method analysis showed that those effects came from individual raters, rather than rater source (i.e. superior, peer, or subordinate). The findings suggest that it may be unwise to aggregate performance ratings at the senior‐executive level, and to use such ratings, whether aggregated or single, to make critical decisions.
doi_str_mv 10.1177/1038411111423187
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identifier ISSN: 1038-4111
ispartof Asia Pacific journal of human resources, 2011-12, Vol.49 (4), p.425-439
issn 1038-4111
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language eng
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source Wiley-Blackwell Journals; PAIS Index; SAGE Journals Online
subjects 360-degree appraisal
Australia
Business
Evaluation
Executives
Human resource management
interrater reliability
New Zealand
Performance appraisal
Performance management
Performance measurement
rater effects
Rating
Ratings & rankings
Reliability
senior executives
Statistics
Studies
Surveys
Workplaces
title Senior-executive performance: Interrater reliability and rater effects in multi-source ratings
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