Results 111 to 120 of about 1,002 (140)
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Testing the Rasch model by means of the mixture fit index
British Journal of Mathematical and Statistical Psychology, 2006proposed a new index of fit for contingency table analysis. Using the overparametrized two‐component mixture, where the first component with weight 1− w represents the model to be tested and the second component with weight w is unstructured, the ...
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Psychometrika, 2003
A normally distributed person-fit index is proposed for detecting aberrant response patterns in latent class models and mixture distribution IRT models for dichotomous and polytomous data.This article extends previous work on the null distribution of person-fit indices for the dichotomous Rasch model to a number of models for categorical data.
von Davier, Matthias, Molenaar, Ivo W.
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A normally distributed person-fit index is proposed for detecting aberrant response patterns in latent class models and mixture distribution IRT models for dichotomous and polytomous data.This article extends previous work on the null distribution of person-fit indices for the dichotomous Rasch model to a number of models for categorical data.
von Davier, Matthias, Molenaar, Ivo W.
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The Impact of Multidimensionality on Extraction of Latent Classes in Mixture Rasch Models
Journal of Educational Measurement, 2018AbstractThis study investigates the effect of multidimensionality on extraction of latent classes in mixture Rasch models. In this study, two‐dimensional data were generated under varying conditions. The two‐dimensional data sets were analyzed with one‐ to five‐class mixture Rasch models. Results of the simulation study indicate the mixture Rasch model
Yoonsun Jang +2 more
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Survey analysis with mixture Rasch models.
Journal of applied measurement, 2014This 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, 2016ABSTRACTThe 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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Mixture Rasch Models With Joint Maximum Likelihood Estimation
Educational and Psychological Measurement, 2010This research provides a demonstration of the utility of mixture Rasch models. Specifically, a model capable of estimating a mixture partial credit model using joint maximum likelihood is presented. Like the partial credit model, the mixture partial credit model has the beneficial feature of being appropriate for analysis of assessment data containing ...
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A Mixture Rasch Model With Item Response Time Components
Applied Psychological Measurement, 2010An examinee faced with a test item will engage in solution behavior or rapid-guessing behavior. These qualitatively different test-taking behaviors bias parameter estimates for item response models that do not control for such behavior. A mixture Rasch model with item response time components was proposed and evaluated through application to real test ...
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Measuring Middle Grades Teachers' Understanding of Rational Numbers with the Mixture Rasch Model
The Elementary School Journal, 2010Abstract 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 +3 more
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Analyzing Job Analysis Data Using Mixture Rasch Models
International Journal of Testing, 2018An 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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DIFFERENT APPROACHES TO COVARIATE INCLUSION IN THE MIXTURE RASCH MODEL
2014The present dissertation project investigates different approaches to adding covariates and the impact in fitting mixture item response theory (IRT) models. Mixture IRT models serve as an important methodology for tackling several important psychometric issues in test development, including detecting latent differential item functioning (DIF).
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