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Hierarchical Multinomial Processing Tree Models: A Latent-Trait Approach

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  • Karl Klauer

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  • 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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    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.
    2. George Karabatsos & William Batchelder, 2003. "Markov chain estimation for test theory without an answer key," Psychometrika, Springer;The Psychometric Society, vol. 68(3), pages 373-389, September.
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    Cited by:

    1. repec:cup:judgdm:v:12:y:2017:i:6:p:537-552 is not listed on IDEAS
    2. Lauren E. Montgomery & Michael D. Lee, 2021. "Expert and novice sensitivity to environmental regularities in predicting NFL games," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1370-1391, November.
    3. Marta Castela & Edgar Erdfelder, 2017. "Further evidence for the memory state heuristic: Recognition latency predictions for binary inferences," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(6), pages 537-552, November.
    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.
    5. 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.
    6. Quentin F. Gronau & Eric-Jan Wagenmakers & Daniel W. Heck & Dora Matzke, 2019. "A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 261-284, March.
    7. 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, Universität Innsbruck.
    8. repec:cup:judgdm:v:16:y:2021:i:6:p:1370-1391 is not listed on IDEAS
    9. Sun-Joo Cho & Sarah Brown-Schmidt & Paul De Boeck & Jianhong Shen, 2020. "Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 154-184, March.
    10. Jochen Ranger & Christoph König & Benjamin W. Domingue & Jörg-Tobias Kuhn & Andreas Frey, 2024. "A Multidimensional Partially Compensatory Response Time Model on Basis of the Log-Normal Distribution," Journal of Educational and Behavioral Statistics, , vol. 49(3), pages 431-464, June.
    11. Daniel W. Heck & Edgar Erdfelder & Pascal J. Kieslich, 2018. "Generalized Processing Tree Models: Jointly Modeling Discrete and Continuous Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 893-918, December.
    12. Steffen Nestler & Edgar Erdfelder, 2023. "Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 809-829, September.

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