ERIC Number: EJ941001
Record Type: Journal
Publication Date: 2011
Abstractor: As Provided
Reference Count: 42
Spurious Latent Classes in the Mixture Rasch Model
Alexeev, Natalia; Templin, Jonathan; Cohen, Allan S.
Journal of Educational Measurement, v48 n3 p313-332 Fall 2011
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.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A
IES Funded: Yes
IES Grant or Contract Numbers: R324B080006