Diagnostic classification models (DCMs) classify examinees based on the skills they have
mastered given their test performance. This classification enables targeted feedback that …

General cognitive diagnostic models (CDM) such as the generalized deterministic input,
noisy,“and” gate (G-DINA) model are flexible in that they allow for both compensatory and …

The present study compared the performance of six cognitive diagnostic models (CDMs) to
explore inter skill relationship in a reading comprehension test. To this end, item responses …

Cognitive diagnostic models (CDM) have been around for more than a decade but their
application is far from widespread for mainly two reasons:(1) CDMs are novel, as compared …

As a significant breakthrough in educational measurement, cognitive diagnostic assessment
(CDA) has made up for the shortcomings of traditional assessment practice by providing fine …

Cognitive diagnostic models (CDMs) have received sustained attention in educational
settings because they can be used to operationalize formative assessment to provide …

Cognitive diagnostic models (CDMs) have recently received a surge of interest in the field of
second language assessment due to their promise for providing fine-grained information …

This chapter offers a critical historical overview of the research into and conceptions of
fairness and justice in the language assessment literature. The focus is primarily on high …

Language proficiency constitutes a crucial barrier for prospective international teaching
assistants (ITAs). Many US universities administer screening tests to ensure that ITAs …

This study examines three controversial aspects in differential item functioning (DIF)
detection by logistic regression (LR) models: first, the relative effectiveness of different …