Arbeitspapier

Flexible Rasch Mixture Models with Package psychomix

Measurement invariance is an important assumption in the Rasch model and mixture models constitute a flexible way of checking for a violation of this assumption by detecting unobserved heterogeneity in item response data. Here, a general class of Rasch mixture models is established and implemented in R, using conditional maximum likelihood estimation of the item parameters (given the raw scores) along with flexible specification of two model building blocks: (1) Mixture weights for the unobserved classes can be treated as model parameters or based on covariates in a concomitant variable model. (2) The distribution of raw score probabilities can be parametrized in two possible ways, either using a saturated model or a specification through mean and variance. The function raschmix() in the R package psychomix provides these models, leveraging the general infrastructure for fitting mixture models in the flexmix package. Usage of the function and its associated methods is illustrated on artificial data as well as empirical data from a study of verbally aggressive behavior.

Sprache
Englisch

Erschienen in
Series: Working Papers in Economics and Statistics ; No. 2011-21

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Model Evaluation, Validation, and Selection
Econometric Software
Thema
mixed Rasch model
Rost model
mixture model
flexmix
Varianzanalyse

Ereignis
Geistige Schöpfung
(wer)
Frick, Hannah
Strobl, Carolin
Leisch, Friedrich
Zeileis, Achim
Ereignis
Veröffentlichung
(wer)
University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)
(wo)
Innsbruck
(wann)
2011

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Frick, Hannah
  • Strobl, Carolin
  • Leisch, Friedrich
  • Zeileis, Achim
  • University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)

Entstanden

  • 2011

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