Results 121 to 130 of about 1,002 (140)

Multivariate and Mixture Distribution Rasch Models by von Davier & Carstensen

Applied Measurement in Education, 2008
The Rasch model may be seen as elegantly simple. Its simplicity comes from its characterizing an item in terms of a single parameter, the item's location on a continuum, and also locating the perso...
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When raters generalize: Examining sources of halo effects with mixture Rasch facets models

Behavior Research Methods
Halo effects are commonly considered a cognitive or judgmental bias leading to rating error when raters assign scores to persons or performances on multiple criteria. Though a long tradition of research has pointed to possible sources of halo effects, measurement models for identifying these sources and detecting halo have been lacking.
Kuan-Yu Jin, Thomas Eckes
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Latent Change in Discrete Data: Unidimensional, Multidimensional, and Mixture Distribution Rasch Models for the Analysis of Repeated Observations

1998
A survey of unidimensional, multidimensional, and mixture distribution Rasch models is presented with a particular focus on model applications for the analysis of change in repeated measures designs. A mover-stayer mixed Rasch model is specified for modeling global change in one of two latent subpopulations and for modeling stability in the other ...
Meiser, T., Stern, E., Langeheine, R.
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Comparison of R Packages for a Mixture Rasch Model

AERA 2023, 2023
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Supplementary Material: Regularized Mixture Rasch Model

2022
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A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies

2022
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 and a latent class analysis (LCA). This study used data from a survey for teachers, teacher candidates,
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Model Selection for Multilevel Mixture Rasch Models

Applied Psychological Measurement, 2019
Sedat Sen, Seock-Ho Kim, Allan Cohen
exaly  

Rasch Mixture Models for DIF Detection

Educational and Psychological Measurement, 2015
Achim Zeileis, Carolin Strobl
exaly  

Agreement on the Classification of Latent Class Membership Between Different Identification Constraint Approaches in the Mixture Rasch Model

Methodology, 2018
Yi-Jhen Wu, Insu Paek
exaly  

Fitting a Mixture Rasch Model to English as a Foreign Language Listening Tests: The Role of Cognitive and Background Variables in Explaining Latent Differential Item Functioning

International Journal of Testing, 2015
Vahid Aryadoust
exaly