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An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects
Choi, Hye-Jeong; Cohen, Allan S.; Bottge, Brian A. – Grantee Submission, 2016
The purpose of this study was to apply a random item mixture nominal item response model (RIM-MixNRM) for investigating instruction effects. The host study design was a pre-test-and-post-test, school-based cluster randomized trial. A RIM-MixNRM was used to identify students' error patterns in mathematics at the pre-test and the post-test.…
Descriptors: Item Response Theory, Instructional Effectiveness, Test Items, Models
Cho, Sun-Joo; Cohen, Allan S.; Bottge, Brian – Grantee Submission, 2013
A multilevel latent transition analysis (LTA) with a mixture IRT measurement model (MixIRTM) is described for investigating the effectiveness of an intervention. The addition of a MixIRTM to the multilevel LTA permits consideration of both potential heterogeneity in students' response to instructional intervention as well as a methodology for…
Descriptors: Intervention, Item Response Theory, Statistical Analysis, Models
Cho, Sun-Joo; Cohen, Allan S.; Kim, Seock-Ho; Bottge, Brian – Applied Psychological Measurement, 2010
A latent transition analysis (LTA) model was described with a mixture Rasch model (MRM) as the measurement model. Unlike the LTA, which was developed with a latent class measurement model, the LTA-MRM permits within-class variability on the latent variable, making it more useful for measuring treatment effects within latent classes. A simulation…
Descriptors: Item Response Theory, Measurement, Models, Statistical Analysis