Statistical applications to cognitive diagnostic testing
Diagnostic classification tests are designed to assess examinees' discrete mastery status on
a set of skills or attributes. Such tests have gained increasing attention in educational and …
a set of skills or attributes. Such tests have gained increasing attention in educational and …
Statistical applications in educational measurement
Educational measurement assigns numbers to individuals based on observed data to
represent individuals' educational properties such as abilities, aptitudes, achievements …
represent individuals' educational properties such as abilities, aptitudes, achievements …
Partial identifiability of restricted latent class models
Latent class models have wide applications in social and biological sciences. In many
applications, prespecified restrictions are imposed on the parameter space of latent class …
applications, prespecified restrictions are imposed on the parameter space of latent class …
Sufficient and necessary conditions for the identifiability of the Q-matrix
Restricted latent class models (RLCMs) have recently gained prominence in educational
assessment, psychiatric evaluation, and medical diagnosis. In contrast to conventional latent …
assessment, psychiatric evaluation, and medical diagnosis. In contrast to conventional latent …
Examining cognitive diagnostic modeling in classroom assessment conditions
J Paulsen, DS Valdivia - The Journal of Experimental Education, 2022 - Taylor & Francis
Cognitive diagnostic models (CDMs) are a family of psychometric models designed to
provide categorical classifications for multiple latent attributes. CDMs provide more granular …
provide categorical classifications for multiple latent attributes. CDMs provide more granular …
Estimating the cognitive diagnosis Q matrix with expert knowledge: Application to the fraction-subtraction dataset
SA Culpepper - Psychometrika, 2019 - Springer
Cognitive diagnosis models (CDMs) are an important psychometric framework for classifying
students in terms of attribute and/or skill mastery. The QQ matrix, which specifies the …
students in terms of attribute and/or skill mastery. The QQ matrix, which specifies the …
Structured latent factor analysis for large-scale data: Identifiability, estimability, and their implications
Latent factor models are widely used to measure unobserved latent traits in social and
behavioral sciences, including psychology, education, and marketing. When used in a …
behavioral sciences, including psychology, education, and marketing. When used in a …
Learning attribute hierarchies from data: Two exploratory approaches
In cognitive diagnostic assessment, multiple fine-grained attributes are measured
simultaneously. Attribute hierarchies are considered important structural features of …
simultaneously. Attribute hierarchies are considered important structural features of …
On the identifiability of diagnostic classification models
This paper establishes fundamental results for statistical analysis based on diagnostic
classification models (DCMs). The results are developed at a high level of generality and are …
classification models (DCMs). The results are developed at a high level of generality and are …
Inferring the number of attributes for the exploratory DINA model
Diagnostic classification models (DCMs) are widely used for providing fine-grained
classification of a multidimensional collection of discrete attributes. The application of DCMs …
classification of a multidimensional collection of discrete attributes. The application of DCMs …