Journal article
Digital Module 04: Diagnostic Measurement: Modeling Checklists for Practitioners https://ncme.elevate.commpartners.com
Educational measurement, issues and practice, Vol.38(1), pp.89-91
2019
DOI: 10.1111/emip.12251
Abstract
In this ITEMS module, we provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement/classification models (DCMs), which are a promising psychometric modeling approach. These models can provide detailed skill‐ or attribute‐specific feedback to respondents along multiple latent dimensions and hold theoretical and practical appeal for a variety of fields. We use a current unified modeling framework—the log‐linear cognitive diagnosis model (LCDM)—as well as a series of quality‐control checklists for data analysts and scientific users to review the foundational concepts, practical steps, and interpretational principles for these models. We demonstrate how the models and checklists can be applied in real‐life data‐analysis contexts. A library of macros and supporting files for Excel, SAS, and Mplus are provided along with video tutorials for key practices.
Details
- Title: Subtitle
- Digital Module 04: Diagnostic Measurement: Modeling Checklists for Practitioners https://ncme.elevate.commpartners.com
- Creators
- Natacha Carragher - World Health Organization and University of New South WalesJonathan Templin - University of IowaPhillip Jones - University of New South WalesBoaz Shulruf - University of New South WalesGary Velan - University of New South Wales
- Resource Type
- Journal article
- Publication Details
- Educational measurement, issues and practice, Vol.38(1), pp.89-91
- Publisher
- Wiley
- DOI
- 10.1111/emip.12251
- ISSN
- 0731-1745
- eISSN
- 1745-3992
- Number of pages
- 3
- Language
- English
- Date published
- 2019
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9983993320202771
Metrics
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