Results 161 to 170 of about 17,085,203 (180)

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...
openaire   +1 more source

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
openaire   +2 more sources

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.
openaire   +3 more sources

Comparison of R Packages for a Mixture Rasch Model

AERA 2023, 2023
openaire   +1 more source

Spurious Latent Classes in the Mixture Rasch Model

Journal of Educational Measurement, 2011
Natalia Alexeev, Jonathan Templin, Allan S. Cohen   +2 more
openaire   +1 more source

Supplementary Material: Regularized Mixture Rasch Model

2022
openaire   +1 more source

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,
openaire   +1 more source

Rasch Mixture Models for DIF Detection

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

Equivalence Between Conditional and Mixture Approaches to the Rasch Model and Matched Case-Control Studies, With Applications

Journal of the American Statistical Association, 2004
Kenneth Rice
exaly  

Mixture Rasch Models With Joint Maximum Likelihood Estimation

Educational and Psychological Measurement, 2011
John T Willse
exaly