English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Diagnostic classification models (DCMs) are psychometric models designed toclassify examinees according to their proficiency or non-proficiency ofspecified latent characteristics. These models are well-suited for providingdiagnostic and actionable feedback to support formative assessment efforts.Several DCMs have been developed and applied in different settings. This studyproposes a DCM with functional form similar to the 1-parameter logistic itemresponse theory model. Using data from a large-scale mathematics educationresearch study, we demonstrate that the proposed DCM has measurement propertiesakin to the Rasch and 1-parameter logistic item response theory models,including test score sufficiency, item-free and person-free measurement, andinvariant item and person ordering. We discuss the implications and limitationsof these developments, as well as directions for future research.

A One-Parameter Diagnostic Classification Model with Familiar Measurement Properties