The nonequivalent-groups anchor-test (NEAT) data-collection design is commonly used in large-scale assessments. Under this design, different test groups take different test forms. Each test form has its own unique items and all test forms share a set of common items. If item response theory (IRT) models are applied to analyze the test data, the…

We examined the psychometric properties of the Counselor Burnout Inventory (CBI) with 560 early career, post-master's counselors. We tested the dimensional structure of the CBI, item ordering, and the function of the rating scale using item response theory. Implications of the findings for researchers, counselors, and counselor educators are…

In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…

This study examines the response patterns of 288 Spanish-English dual language learners on a standardized test of receptive Spanish vocabulary. Investigators analyzed responses to 54 items on the "Test de Vocabulario en Imagenes" (TVIP) [Dunn, L. M., D. E. Lugo, E. R. Padilla, and L. M. Dunn. 1986. "Test de Vocabulario en Imganes…

This study is the first systematic examination of how school counselor multicultural counseling competence (MCC) is addressed in state licensure examinations of school counselors. Results offer preliminary support to the notion that state licensure examinations indeed address some important aspects of MCC, as identified by Holcomb-McCoy (2004).…