ABSTRACT RATER DRIFT IN CONSTRUCTED RESPONSE SCORING VIA LATENT CLASS SIGNAL DETECTION THEORY AND ITEM RESPONSE THEORY

The use of constructed response (CR) items or performance tasks to assess test takers ’ ability has grown tremendously over the past decade. Examples of CR items in psychological and educational measurement range from essays, works of art, and admissions interviews. However, unlike multiple-choice (MC) items that have predetermined options, CR items require test takers to construct their own answer. As such, they require the judgment of multiple raters that are subject to differences in perception and prior knowledge of the material being evaluated. As with any scoring procedure, the scores assigned by raters must be comparable over time and over different test administrations and forms; in other words, scores must be reliable and valid for all test takers, regardless of when an individual takes the test. This study examines how longitudinal patterns or changes in rater behavior affect model-based classification accuracy. Rater drift refers to changes in rater behavior across different test administrations. Prior research has found evidence of drift. Rater behavior in CR scoring is examined using two measurement models – latent class signal detection theory (SDT) and item response theory (IRT) models. Rater effects (e.g., leniency an