Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach
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References listed on IDEAS
- 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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- 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.
- 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.
- repec:jdm:journl:v:12:y:2017:i:6:p:537-552 is not listed on IDEAS
- 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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Keywordsmultinomial processing tree models; hierarchical models; Gibbs sampler;
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