DISTRIBUTIONAL RATINGS, JUDGMENT DECOMPOSITION, AND THEIR IMPACT ON INTERRATER AGREEMENT AND RATING ACCURACY

One strategy suggested for improving the accuracy of the complex evaluative judgments involved in performance evaluation is to decompose them into a series of simpler judgments. Another is to collect observations in a distributional rating scheme in which raters estimate the frequencies of different classes of behavior and performance is assessed in terms of the relative frequencies of effective and ineffective behaviors. In the present study, we compared distributional ratings to Likert-type ratings of videotaped lectures at 3 levels of dimensional decomposition; ratings were evaluated in terms of interrater agreement and rating accuracy. Decomposition led to increased agreement and accuracy, but the use of distributional ratings did not. The practical implications of the results are discussed.