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BUGS Code for Item Response Theory

S. McKay Curtis
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Generalized estimating equations for longitudinal mixed Rasch model

Journal of Statistical Planning and Inference, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mounir Mesbah
exaly   +2 more sources

On Local Homogeneity and Stochastically Ordered Mixed Rasch Models

Applied Psychological Measurement, 2006
Mixed Rasch models add latent classes to conventional Rasch models, assuming that the Rasch model applies within each class and that relative difficulties of items are different in two or more latent classes. This article considers a family of stochastically ordered mixed Rasch models, with ordinal latent classes characterized by increasing total ...
Svend Kreiner
exaly   +2 more sources

Mixed Rasch Modeling of the Self-Rating Depression Scale

Educational and Psychological Measurement, 2007
In this study, mixed Rasch modeling was used on the Self-Rating Depression Scale (SDS), a widely used measure of depression, among a non-Western sample of 618 Korean college students. The results revealed three latent classes and confirmed the unidimensionality of the SDS.
Sehee Hong, Sae-Young Min
exaly   +2 more sources

Goodness of Fit Test and Latent Distribution Estimation in the Mixed Rasch Model

Communications in Statistics - Theory and Methods, 2006
The Cramer-von Mises test methodology is applied to build a goodness-of fit test for the mixed Rasch model. The Mixed Rasch Model is a probability model of a multivariate discrete random variable driven by an unknown latent continuous variable. The problem of estimation of the unknown fixed difficulty parameters and the latent density function is also ...
M Mesbah
exaly   +2 more sources

The Mixed-Coefficients Multinomial Logit Model: A Generalized Form of the Rasch Model

, 2007
1 ...
Adams, Raymond J, Wu, Margaret L
openaire   +4 more sources

Fitting the mixed Rasch model to a reading comprehension test: Exploring individual difference profiles in L2 reading

Language Testing, 2016
The present study used the mixed Rasch model (MRM) to identify subgroups of readers within a sample of students taking an EFL reading comprehension test. Six hundred and two (602) Chinese college students took a reading test and a lexico-grammatical knowledge test and completed a Metacognitive and Cognitive Strategy Use Questionnaire (MCSUQ) (Zhang ...
Vahid Aryadoust, Limei Zhang
exaly   +2 more sources

Individual differences in response scale use: Mixed Rasch modelling of responses to NEO-FFI items

Personality and Individual Differences, 2006
Mixed Rasch modelling allows the existence of sub-groups who differ in their use of questionnaire response scales to be investigated. This is relevant to personality measurement, as individual differences in scale use are a source of error in calculating trait scores. The objectives of the analysis reported here were to investigate the use of the mixed
Elizabeth J Austin, Ian J Deary, Vincent Egan   +2 more
exaly   +3 more sources

Disclosing situational constraints to ecological behavior : a confirmatory application of the mixed Rasch model

European Journal of Psychological Assessment, 2001
The present paper explores whether differential endorsement probabilities are related to the behavioral consequences of certain environments, rather than being solely indicative of method bias. One's living environment is among the more salient contextual factors affecting ecological performance.
Kaiser, F.G., Keller, C.
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Parameter recovery and model selection in mixed Rasch models

British Journal of Mathematical and Statistical Psychology, 2011
This study examines the precision of conditional maximum likelihood estimates and the quality of model selection methods based on information criteria (AIC and BIC) in mixed Rasch models. The design of the Monte Carlo simulation study included four test lengths (10, 15, 25, 40), three sample sizes (500, 1000, 2500), two simulated mixture conditions ...
Preinerstorfer, David, Formann, Anton K
openaire   +5 more sources