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Direct linkDaoxuan Fu; Chunying Qin; Zhaosheng Luo; Yujun Li; Xiaofeng Yu; Ziyu Ye – Journal of Educational and Behavioral Statistics, 2025
One of the central components of cognitive diagnostic assessment is the Q-matrix, which is an essential loading indicator matrix and is typically constructed by subject matter experts. Nonetheless, to a large extent, the construction of Q-matrix remains a subjective process and might lead to misspecifications. Many researchers have recognized the…
Descriptors: Q Methodology, Matrices, Diagnostic Tests, Cognitive Measurement
Kazuhiro Yamaguchi – Journal of Educational and Behavioral Statistics, 2025
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…
Descriptors: Models, Classification, Bayesian Statistics, Evaluation Methods
Peer reviewedMarcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazan; Amber Benedict – Grantee Submission, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
Marcelo Andrade da Silva; A. Corinne Huggins-Manley; Jorge Luis Bazán; Amber Benedict – Applied Measurement in Education, 2024
A Q-matrix is a binary matrix that defines the relationship between items and latent variables and is widely used in diagnostic classification models (DCMs), and can also be adopted in multidimensional item response theory (MIRT) models. The construction process of the Q-matrix is typically carried out by experts in the subject area of the items…
Descriptors: Q Methodology, Matrices, Item Response Theory, Educational Assessment
Jordan M. Wheeler; Allan S. Cohen; Shiyu Wang – Journal of Educational and Behavioral Statistics, 2024
Topic models are mathematical and statistical models used to analyze textual data. The objective of topic models is to gain information about the latent semantic space of a set of related textual data. The semantic space of a set of textual data contains the relationship between documents and words and how they are used. Topic models are becoming…
Descriptors: Semantics, Educational Assessment, Evaluators, Reliability
