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The Q-Matrix Anchored Mixture Rasch Model [PDF]
Frontiers in Psychology, 2021 Mixture item response theory (IRT) models include a mixture of latent subpopulations such that there are qualitative differences between subgroups but within each subpopulation the measure model based on a continuous latent variable holds.
Ming-Chi Tseng, Wen-Chung Wang
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Regularized Mixture Rasch Model [PDF]
Information, 2022 The mixture Rasch model is a popular mixture model for analyzing multivariate binary data. The drawback of this model is that the number of estimated parameters substantially increases with an increasing number of latent classes, which, in turn, hinders ...
Alexander Robitzsch
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Setting a standard for low reading proficiency: A comparison of the bookmark procedure and constrained mixture Rasch model. [PDF]
PLoS ONE, 2021 In order to draw pertinent conclusions about persons with low reading skills, it is essential to use validated standard-setting procedures by which they can be assigned to their appropriate level of proficiency.
Tabea Feseker +2 more
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Different Approaches to Covariate Inclusion in the Mixture Rasch Model. [PDF]
Educ Psychol Meas, 2016 The present study investigates different approaches to adding covariates and the impact in fitting mixture item response theory models. Mixture item response theory models serve as an important methodology for tackling several psychometric issues in test development, including the detection of latent differential item functioning.
Li T, Jiao H, Macready GB.
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A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies
International Journal of Contemporary Educational Research, 2023 Although the Rasch model is used to measure latent traits like attitude or ability where there are multiple latent structures within the dataset it is best to use a technique called the Mixture Rasch Model (MRM) which is a combination of a Rasch model ...
Turker Toker, Kent Seıdel
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Flexible Rasch Mixture Models with Package psychomix
Journal of Statistical Software, 2012 Measurement invariance is an important assumption in the Rasch model and mixture models constitute a flexible way of checking for a violation of this assumption by detecting unobserved heterogeneity in item response data.
Hannah Frick +3 more
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Mixture Rasch Model with Main and Interaction Effects of Covariates on Latent Class Membership
International Journal of Assessment Tools in Education, 2019 Covariateshave been used in mixture IRT models to help explain why examinees are classedinto different latent classes. Previous research has considered manifestvariables as covariates in a mixture Rasch analysis for prediction of groupmembership.
Tugba Karadavut +2 more
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A Mixture Rasch Model Analysis of Mathematics Achievement
Kastamonu Eğitim Dergisi, 2023 Purpose: This study aims to determine distinct latent classes in 8th-grade students' mathematics achievement Design: The research study group consisted of 435 students who received the first booklet at the TIMSS 2015 8th grade mathematics achievement test. A mixture of Rasch model analysis was used to find the best-fitting model. Findings:
Halime Yıldırım Hoş +1 more
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Model Selection for Multilevel Mixture Rasch Models [PDF]
Applied Psychological Measurement, 2018 Mixture item response theory (MixIRT) models can sometimes be used to model the heterogeneity among the individuals from different subpopulations, but these models do not account for the multilevel structure that is common in educational and psychological data.
Sedat Şen +2 more
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International Journal of Assessment Tools in Education, 2021 This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study – 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics ...
Kathy Green, Turker Toker
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