[HTML][HTML] Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions
SH Kim, PL Mokhtarian - Transportation Research Part B: Methodological, 2023 - Elsevier
Accounting for some types of heterogeneity has been an important pathway to improving our
models in the transportation domain, specifically in travel behavior research. This study …
models in the transportation domain, specifically in travel behavior research. This study …
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 …
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 …
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 …
Diagnostic classification analysis of problem-solving competence using process data: An item expansion method
Process data refer to data recorded in computer-based assessments (CBAs) that reflect
respondents' problem-solving processes and provide greater insight into how respondents …
respondents' problem-solving processes and provide greater insight into how respondents …
Exploratory restricted latent class models with monotonicity requirements under POLYA–GAMMA data augmentation
JJ Balamuta, SA Culpepper - psychometrika, 2022 - Springer
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 …
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 …
A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models
K Yamaguchi, J Templin - Journal of Classification, 2022 - Springer
Diagnostic classification models (DCMs) are restricted latent class models with a set of cross-
class equality constraints and additional monotonicity constraints on their item parameters …
class equality constraints and additional monotonicity constraints on their item parameters …
Learning attribute patterns in high-dimensional structured latent attribute models
Structured latent attribute models (SLAMs) are a special family of discrete latent variable
models widely used in social and biological sciences. This paper considers the problem of …
models widely used in social and biological sciences. This paper considers the problem of …
A note on weaker conditions for identifying restricted latent class models for binary responses
SA Culpepper - psychometrika, 2023 - Springer
Restricted latent class models (RLCMs) are an important class of methods that provide
researchers and practitioners in the educational, psychological, and behavioral sciences …
researchers and practitioners in the educational, psychological, and behavioral sciences …