Hierarchical multinomial processing tree models: a latent-trait approach
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Publication:971531
DOI10.1007/s11336-009-9141-0zbMath1272.62126OpenAlexW2042024213MaRDI QIDQ971531
Publication date: 14 May 2010
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11336-009-9141-0
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Uses Software
Cites Work
- Unnamed Item
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- Beta-MPT: multinomial processing tree models for addressing individual differences
- The statistical analysis of general processing tree models with the EM algorithm
- Markov chain estimation for test theory without an answer key
- Hierarchical multinomial processing tree models: a latent-class approach
- The statistical analysis of a model for storage and retrieval processes in human memory
- Logistic-Normal Distributions: Some Properties and Uses
- Bayesian Analysis of Binary and Polychotomous Response Data
- Linear Statistical Inference and its Applications
- Essays on item response theory
- Posterior predictive arguments in favor of the Bayes-Laplace prior as the consensus prior for binomial and multinomial parameters
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