This study compared the precision of ability estimation on different types of item response theory models for mixed-format data. Participants in this study were 1625 Junior High School Students in Depok, Indonesia. The mixed-format test was used to measure the students' ability in mathematics. The test used consists of multiple-choice and…

Scholarship focused on Black male students in school counseling has been intermittent despite being well documented in the larger field of education and other disciplines. In this article, we conducted a systematic review of the school counseling literature that focused on Black male students. We used critical race theory (CRT) to examine the…

The study aims to examine whether differential item function is displayed in three different test forms that have item orders of random and sequential versions (easy-to-hard and hard-to-easy), based on Classical Test Theory (CTT) and Item Response Theory (IRT) methods and bearing item difficulty levels in mind. In the correlational research, the…

This study examined the effect of similar vs. dissimilar proficiency distributions on uniform DIF detection on a statewide eighth grade mathematics assessment. Results from the similar- and dissimilar-ability reference groups with an SWD focal group were compared for four models: logistic regression, hierarchical generalized linear model (HGLM),…

Using a DisCrit intersectional lens and statistical and spatial methods, we trace how the creation of K-8 schools functioned to create pockets of privilege in one urban U.S. school district. K-8 schools were both whiter and wealthier than district averages, serving as "enclave" schools. Although far fewer students with disabilities were…

When competence tests are administered, subjects frequently omit items. These missing responses pose a threat to correctly estimating the proficiency level. Newer model-based approaches aim to take nonignorable missing data processes into account by incorporating a latent missing propensity into the measurement model. Two assumptions are typically…

Typically a longitudinal growth modeling based on item response theory (IRT) requires repeated measures data from a single group with the same test design. If operational or item exposure problems are present, the same test may not be employed to collect data for longitudinal analyses and tests at multiple time points are constructed with unique…