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Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach

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  • Karl Klauer

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Abstract

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Suggested Citation

  • Karl Klauer, 2010. "Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 70-98, March.
  • Handle: RePEc:spr:psycho:v:75:y:2010:i:1:p:70-98
    DOI: 10.1007/s11336-009-9141-0
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    File URL: http://hdl.handle.net/10.1007/s11336-009-9141-0
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    References listed on IDEAS

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    1. Lee, Herbert K. H, 2008. "Bayesian Methods: A Social and Behavioral Sciences Approach," The American Statistician, American Statistical Association, vol. 62(4), pages 356-356.
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    Cited by:

    1. Zita Oravecz & Royce Anders & William Batchelder, 2015. "Hierarchical Bayesian Modeling for Test Theory Without an Answer Key," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 341-364, June.
    2. Florian Wickelmaier & Achim Zeileis, 2016. "Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models," Working Papers 2016-26, Faculty of Economics and Statistics, University of Innsbruck.
    3. repec:jdm:journl:v:12:y:2017:i:6:p:537-552 is not listed on IDEAS
    4. Dora Matzke & Conor Dolan & William Batchelder & Eric-Jan Wagenmakers, 2015. "Bayesian Estimation of Multinomial Processing Tree Models with Heterogeneity in Participants and Items," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 205-235, March.

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