Patterns of multisource performance ratings
Bynum, Bethany Hoffman
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The present study contributes to the Multisource performance ratings literature by applying a person-centered approach to the investigation of cross-source agreement. Using latent profile analyses, ratees were grouped based on their pattern of ratings received by their supervisors, peers, and subordinates. The majority of cross-source performance profiles that emerged were associated with performance level differences and not differences in source ratings. Nevertheless, for a small number of individuals systematic patterns emerged that reveal homogeneous subsamples with ratings that diverge across sources. Additionally, dominance, well-being and social presence were significant predictors, and derailment and overall performance effectiveness were significant outcomes of cross-source performance profiles. However, the majority of findings suggest a linear relationship among the predictors and outcomes, which were accounted for by performance level and not rater disagreement. This study has key implications for researchers and practitioners faced with interpreting and using the results of multisource feedback.