Literature DB >> 29880998

A Note on Parameter Estimate Comparability: Across Latent Classes in Mixture IRT Modeling.

Insu Paek1, Sun-Joo Cho2.   

Abstract

The use of mixture item response theory modeling is exemplified typically by comparing item profiles across different latent groups. The comparisons of item profiles presuppose that all model parameter estimates across latent classes are on a common scale. This note discusses the conditions and the model constraint issues to establish a common scale across latent classes.

Keywords:  DIF; factor mixture model; mixture IRT; mixture Rasch model; scale linking in mixture IRT

Year:  2014        PMID: 29880998      PMCID: PMC5978511          DOI: 10.1177/0146621614549651

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  4 in total

1.  Detecting Social Desirability Bias Using Factor Mixture Models.

Authors:  Walter L Leite; Lou Ann Cooper
Journal:  Multivariate Behav Res       Date:  2010-03-31       Impact factor: 5.923

2.  Improvement in Detection of Differential Item Functioning Using a Mixture Item Response Theory Model.

Authors:  Annette M Maij-de Meij; Henk Kelderman; Henk van der Flier
Journal:  Multivariate Behav Res       Date:  2010-11-30       Impact factor: 5.923

3.  Item response mixture modeling: application to tobacco dependence criteria.

Authors:  Bengt Muthen; Tihomir Asparouhov
Journal:  Addict Behav       Date:  2006-05-03       Impact factor: 3.913

4.  Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model.

Authors:  Sun-Joo Cho; Allan S Cohen; Brian Bottge
Journal:  Psychometrika       Date:  2013-01-05       Impact factor: 2.500

  4 in total
  2 in total

1.  A Finite Mixture Item Response Theory Model for Continuous Measurement Outcomes.

Authors:  Cengiz Zopluoglu
Journal:  Educ Psychol Meas       Date:  2019-06-27       Impact factor: 2.821

2.  General mixture item response models with different item response structures: Exposition with an application to Likert scales.

Authors:  Jesper Tijmstra; Maria Bolsinova; Minjeong Jeon
Journal:  Behav Res Methods       Date:  2018-12
  2 in total

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