Results 151 to 160 of about 1,099 (177)

Survey analysis with mixture Rasch models.

Journal of applied measurement, 2014
This research provides a demonstration of the utility of mixture Rasch models (MRMs) for the analysis of survey data. Specifically, a framework based on a mixture partial credit model (MPCM) will be presented. MRMs are able to provide information regarding latent classes (subpopulations without manifest grouping variables) and separate item parameter ...
Andrew D, Dallas, John T, Willse
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The Impact of Various Class-Distinction Features on Model Selection in the Mixture Rasch Model

The Journal of Experimental Education, 2016
ABSTRACTThe purpose of the current study is to examine the performance of four information criteria (Akaike's information criterion [AIC], corrected AIC [AICC] Bayesian information criterion [BIC], sample-size adjusted BIC [SABIC]) for detecting the correct number of latent classes in the mixture Rasch model through simulations.
In-Hee Choi, Insu Paek, Sun-Joo Cho
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Measuring Middle Grades Teachers' Understanding of Rational Numbers with the Mixture Rasch Model

The Elementary School Journal, 2010
Abstract We report the development of a multiple-choice instrument that measures the mathematical knowledge needed for teaching arithmetic with fractions, decimals, and proportions. In particular, the instrument emphasizes the knowledge needed to reason about such arithmetic when numbers are embedded in problem situations.
Andrew Izsák, Chandra Hawley Orrill, Allan S. Cohen, Rachael Eriksen Brown   +3 more
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Analyzing Job Analysis Data Using Mixture Rasch Models

International Journal of Testing, 2018
An important piece of validity evidence to support the use of credentialing exams comes from performing a job analysis of the profession.
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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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Comparison of R Packages for a Mixture Rasch Model

AERA 2023, 2023
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Multivariate and Mixture Distribution Rasch Models

2007
Matthias von Davier, Claus H. Carstensen
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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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Supplementary Material: Regularized Mixture Rasch Model

2022
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