Results 211 to 220 of about 942,691 (276)
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
Identifying Distinct Trajectories and Predictors of Professional Identity in Nursing Interns: A Prospective Cohort Study. [PDF]
Chen Z, Shao P, Chen H, Zhang B.
europepmc +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
What Drives Change? Characterizing Scientific Self-Efficacy Development in Undergraduate Research Experiences. [PDF]
Zhang Q +3 more
europepmc +1 more source
Mixture multigroup structural equation modelling for ordinal data
Abstract Social scientists often compare groups in terms of relations between latent variables (LV) (i.e. structural relations) using Structural Equation Modelling (SEM). LVs are measured indirectly by questionnaires; thus, measurement invariance must be evaluated before comparisons can be made. To efficiently compare many groups, the recently proposed
Andres F. Perez Alonso +3 more
wiley +1 more source
Exploring Response Patterns to Motivational Messages Supporting Physical Activity: Latent Class Analysis. [PDF]
Moriishi C +4 more
europepmc +1 more source
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
Dual pathways of generative AI use: role ambiguity and self-efficacy in employee-AI collaboration. [PDF]
Zhang Q, Zhang J, Dong S.
europepmc +1 more source
Multidimensional unipolar IRT and applications to the measurement of print exposure
Abstract Item response theory (IRT) has been a prominent modelling framework in educational and psychological measurement. Traditional IRT models are bipolar, commonly assuming symmetric measurement link functions and symmetric trait distributions over a latent continuum unbounded at both ends. However, many measured constructs, such as print exposure,
Qi (Helen) Huang, Daniel M. Bolt
wiley +1 more source

