The interrater reliabilities of ratings of 9,975 ratees from 79 organizations were examined as a function of length of exposure to the ratee. It was found that there was a strong, nonlinear relationship between months of exposure and interrater reliability. The correlation between a logarithmic transformation of months of experience and reliability was .73 for one type of ratings and .65 for another type. The relationship was strongest during the first 12 months on the job. Changes in reliability were accounted for mostly by changes in criterion variance. Asymptotic levels of reliability were only about .60, even with 10-20 years of experience. Implications for estimating reliabilities in individual and meta-analytic studies and for performance appraisal were presented, and possible explanations of the reliability-variance relationship were advanced.
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