Results 241 to 250 of about 221,738 (314)
Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source
Idiographic interrater reliability measures for intensive longitudinal multirater data
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch +4 more
wiley +1 more source
Power priors for latent variable mediation models under small sample sizes
Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. [PDF]
Hsu AS +3 more
europepmc +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
RSS-based Access Point Trajectory Estimation using Markov chain Monte Carlo
Toni Hammarberg
openalex +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source

