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Modeling missing data in knowledge space theory

The problem that arises in these cases is how to deal with missing data. In this article, the missingness is analyzed in knowledge space theory

A Mixture Group Bifactor Model for Binary Responses

A Mixture Group Bifactor Model for Binary Responses

Modeling and Analysis of Compositional Data

ModelingandAnalysisofCompositionalDatapresentsapracticalandcomprehensiveintroductiontotheanalysisofcompositionaldataalongwithnumerousexamplestoillustr

Handbook of Statistics Vol26

HandbookofStatisticsVol26

hyperbolic cosine latent trait model for unfolding response

ahyperboliccosinelatenttraitmodelforunfoldingdichotomoussinglestimulusresponses

ItemselectionviaBayesianIRTmodels

With reference to a questionnaire that aimed to assess the quality of life for dysarthric speakers, we investigate the usefulness of a model-based pro

How IRT Can Solve Problems of Ipsative Data in Forced_Choice Questionnaires

How IRT Can Solve Problems of Ipsative Data in Forced-Choice Questionnaires

Generalized latent variable models with non_linear effects

Generalized latent variable models with non-linear effects