Results 21 to 30 of about 69 (67)

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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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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A Relation Between a Between-Item Multidimensional IRT Model and the Mixture Rasch Model

Psychometrika, 2005
Two generalizations of the Rasch model are compared: the between-item multidimensional model (Adams, Wilson, and Wang, 1997), and the mixture Rasch model (Mislevy & Verhelst, 1990; Rost, 1990). It is shown that the between-item multidimensional model is formally equivalent with a continuous mixture of Rasch models for which, within each class of ...
Rijmen, Frank, De Boeck, Paul
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Loglinear Multivariate and Mixture Rasch Models

2007
In this chapter, Rasch models (RMs) are derived from a stochastic subject model. Fixed-effects RMs are shown to be equivalent to loglinear models with raw-score variables; random-effects RMs are equivalent to loglinear models with latent class variables. Within the larger framework of loglinear models, various extensions of the RM can be formulated. We
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Mixture Rasch Models With Joint Maximum Likelihood Estimation

Educational and Psychological Measurement, 2010
This 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 Person-Fit Index for Polytomous Rasch Models, Latent Class Models, and Their Mixture Generalizations

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 Mixture Rasch Model–Based Computerized Adaptive Test for Latent Class Identification

Applied Psychological Measurement, 2012
This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback–Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was large,
Hong Jiao, George Macready, Junhui Liu, Youngmi Cho   +3 more
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A Mixture Rasch Model With Item Response Time Components

Applied Psychological Measurement, 2010
An 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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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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Testing the Rasch model by means of the mixture fit index

British Journal of Mathematical and Statistical Psychology, 2006
proposed 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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