ArticlePsychometrika2019
Estimating the Cognitive Diagnosis [Formula: see text] Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset.
Article in Psychometrika, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Uncovering Latent Structures: A Bayesian Approach to Estimating Q-Matrix and Attribute Hierarchies in Cognitive Diagnostic Models.Psychometrika · 2026Article
- Priority attribute algorithm for Q-matrix validation: A didactic.Behavior research methods · 2024Article
- Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs).Psychometrika · 2024Article
- A multiple logistic regression-based (MLR-B) Q-matrix validation method for cognitive diagnosis models:A confirmatory approach.Behavior research methods · 2023Article
- Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis.Psychometrika · 2023Article
- A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses.Psychometrika · 2023Article
- Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models.Psychometrika · 2023Article
- A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis.Journal of the American Statistical Association · 2023Article
- Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm.Psychometrika · 2022Article
- An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model.Psychometrika · 2022Article
- Estimating Cognitive Diagnosis Models in Small Samples: Bayes Modal Estimation and Monotonic Constraints.Applied psychological measurement · 2021Article
- Inferring the Number of Attributes for the Exploratory DINA Model.Psychometrika · 2021Article
- Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model.Psychometrika · 2020Article
- A Constrained Metropolis-Hastings Robbins-Monro Algorithm for Q Matrix Estimation in DINA Models.Psychometrika · 2020Article
- A Sparse Latent Class Model for Cognitive Diagnosis.Psychometrika · 2020Article
- An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation.Psychometrika · 2019Article
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Abstract
Cognitive diagnosis models (CDMs) are an important psychometric framework for classifying students in terms of attribute and/or skill mastery. The [Formula: see text] matrix, which specifies the required attributes for each item, is central to implementing CDMs. The general unavailability of [Formula: see text] for most content areas and datasets poses a barrier to widespread applications of CDMs, and recent research accordingly developed fully exploratory methods to estimate Q. However, current methods do not always offer clear interpretations of the uncovered skills and existing exploratory methods do not use expert knowledge to estimate Q. We consider Bayesian estimation of [Formula: see text] using a prior based upon expert knowledge using a fully Bayesian formulation for a general diagnostic model. The developed method can be used to validate which of the underlying attributes are predicted by experts and to identify residual attributes that remain unexplained by expert knowledge. We report Monte Carlo evidence about the accuracy of selecting active expert-predictors and present an application using Tatsuoka's fraction-subtraction dataset.
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