Journal article
Spurious Latent Classes in the Mixture Rasch Model
Journal of educational measurement, Vol.48(3), pp.313-332
09/01/2011
DOI: 10.1111/j.1745-3984.2011.00146.x
Abstract
Mixture Rasch models have been used to study a number of psychometric issues such as goodness of fit, response strategy differences, strategy shifts, and multidimensionality. Although these models offer the potential for improving understanding of the latent variables being measured, under some conditions overextraction of latent classes may occur, potentially leading to misinterpretation of results. In this study, a mixture Rasch model was applied to data from a statewide test that was initially calibrated to conform to a 3-parameter logistic (3PL) model. Results suggested how latent classes could be explained and also suggested that these latent classes might be due to applying a mixture Rasch model to 3PL data. To support this latter conjecture, a simulation study was presented to demonstrate how data generated to fit a one-class 2-parameter logistic (2PL) model required more than one class when fit with a mixture Rasch model.
Details
- Title: Subtitle
- Spurious Latent Classes in the Mixture Rasch Model
- Creators
- Natalia Alexeev - University of IowaJonathan Templin - University of IowaAllan S. Cohen - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of educational measurement, Vol.48(3), pp.313-332
- Publisher
- Wiley
- DOI
- 10.1111/j.1745-3984.2011.00146.x
- ISSN
- 0022-0655
- eISSN
- 1745-3984
- Number of pages
- 20
- Grant note
- 1125621 / Division Of Research On Learning; National Science Foundation (NSF); NSF- Directorate for Education & Human Resources (EHR)
- Language
- English
- Date published
- 09/01/2011
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984371266202771
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