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Joint analysis of dispersed count-time data using a bivariate latent factor model. [PDF]
Potgieter CJ, Kamata A, Kara Y, Qiao X.
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Investigating the clinical pattern of motor relearning in people with multiple sclerosis. [PDF]
Cattaneo D +3 more
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On the Use of Elbow Plot Method for Class Enumeration in Factor Mixture Models. [PDF]
Sen S, Cohen AS.
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Label-free detection and profiling of individual solution-phase molecules. [PDF]
Needham LM +18 more
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Disentangling Qualitatively Different Faking Strategies in High-Stakes Personality Assessments: A Mixture Extension of the Multidimensional Nominal Response Model. [PDF]
Seitz T, Alagöz ÖEC, Meiser T.
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A Mixture Rasch Model With a Covariate
Applied Psychological Measurement, 2013Mixtures of item response theory (IRT) models have been proposed as a technique to explore response patterns in test data related to cognitive strategies, instructional sensitivity, and differential item functioning (DIF). Estimation proves challenging due to difficulties in identification and questions of effect size needed to recover underlying ...
Yunyun Dai
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Applying a Mixture Rasch Model‐Based Approach to Standard Setting
Educational Measurement: Issues and Practice, 2023AbstractThe subjective aspect of standard‐setting is often criticized, yet data‐driven standard‐setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional ...
Michael Peabody
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