Abstract
Performance evaluation research indicates that variance in ratings may be attributable to systematic sources beyond the actual performance of the ratee. However, the majority of prior work compares ratings across sources and uses ratings from a single rating event. Using confirmatory factor analysis and multivariate latent growth modeling (MLGM), we specifically examine peer ratings from 740 participants on 5 performance dimensions across 3 distinct performance situations for systematic sources of variance beyond ratee performance. Results demonstrate that both ratee performance and the performance context have systematic effects, with contextual effects varying by how “strong” or “weak” the situation is for a given performance dimension. Furthermore, MLGM results suggest that the influence of performance dynamism is only meaningfully interpreted when contextual effects are modeled.
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