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 …
Identifying latent structures in restricted latent class models
This article focuses on a family of restricted latent structure models with wide applications in
psychological and educational assessment, where the model parameters are restricted via a …
psychological and educational assessment, where the model parameters are restricted via a …
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 …
The sufficient and necessary condition for the identifiability and estimability of the DINA model
Cognitive diagnosis models (CDMs) are useful statistical tools in cognitive diagnosis
assessment. However, as many other latent variable models, the CDMs often suffer from the …
assessment. However, as many other latent variable models, the CDMs often suffer from the …
A sparse latent class model for cognitive diagnosis
Cognitive diagnostic models (CDMs) are latent variable models developed to infer latent
skills, knowledge, or personalities that underlie responses to educational, psychological …
skills, knowledge, or personalities that underlie responses to educational, psychological …
Item Response Theory--A Statistical Framework for Educational and Psychological Measurement
Item response theory (IRT) has become one of the most popular statistical models for
psychometrics, a field of study concerned with the theory and techniques of psychological …
psychometrics, a field of study concerned with the theory and techniques of psychological …
An exploratory diagnostic model for ordinal responses with binary attributes: Identifiability and estimation
SA Culpepper - Psychometrika, 2019 - Springer
Diagnostic models (DMs) provide researchers and practitioners with tools to classify
respondents into substantively relevant classes. DMs are widely applied to binary response …
respondents into substantively relevant classes. DMs are widely applied to binary response …
A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy
A Jimenez, JJ Balamuta… - British Journal of …, 2023 - Wiley Online Library
Cognitive diagnostic models provide a framework for classifying individuals into latent
proficiency classes, also known as attribute profiles. Recent research has examined the …
proficiency classes, also known as attribute profiles. Recent research has examined the …
New paradigm of identifiable general-response cognitive diagnostic models: beyond categorical data
Cognitive diagnostic models (CDMs) are a popular family of discrete latent variable models
that model students' mastery or deficiency of multiple fine-grained skills. CDMs have been …
that model students' mastery or deficiency of multiple fine-grained skills. CDMs have been …
Exploratory restricted latent class models with monotonicity requirements under POLYA–GAMMA data augmentation
Restricted latent class models (RLCMs) provide an important framework for supporting
diagnostic research in education and psychology. Recent research proposed fully …
diagnostic research in education and psychology. Recent research proposed fully …