Journal article
Skills Diagnosis Using IRT-Based Latent Class Models
Journal of educational measurement, Vol.44(4), pp.293-311
12/01/2007
DOI: 10.1111/j.1745-3984.2007.00040.x
Abstract
This article describes a latent trait approach to skills diagnosis based on a particular variety of latent class models that employ item response functions (IRFs) as in typical item response theory (IRT) models. To enable and encourage comparisons with other approaches, this description is provided in terms of the main components of any psychometric approach: the ability model and the IRF structure; review of research on estimation, model checking, reliability, validity, equating, and scoring; and a brief review of real data applications. In this manner the article demonstrates that this approach to skills diagnosis has built a strong initial foundation of research and resources available to potential users. The outlook for future research and applications is discussed with special emphasis on a call for pilot studies and concomitant increased validity research. © 2007 by the National Council on Measurement in Education.
Details
- Title: Subtitle
- Skills Diagnosis Using IRT-Based Latent Class Models
- Creators
- Louis A. Roussos - Measured ProgressJonathan L. Templin - University of KansasRobert A. Henson - University of North Carolina at Greensboro
- Resource Type
- Journal article
- Publication Details
- Journal of educational measurement, Vol.44(4), pp.293-311
- Publisher
- Blackwell Publishing Inc
- DOI
- 10.1111/j.1745-3984.2007.00040.x
- ISSN
- 0022-0655
- eISSN
- 1745-3984
- Number of pages
- 19
- Language
- English
- Date published
- 12/01/2007
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371296302771
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