Results 221 to 230 of about 77,552 (290)
Abstract In the media, accurate climate information and climate disinformation often coexist and present competing narratives about climate change. Whereas previous research documented detrimental effects of disinformation on climate beliefs, little is known about how people seek climate‐related content and how this varies between cross‐cultural ...
Zahra Rahmani Azad +4 more
wiley +1 more source
IRT‐based response style models and related methodology: Review and commentary
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley +1 more source
Performance of propensity score methods in observational studies: a systematic review. [PDF]
Tatari M +3 more
europepmc +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
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
On the robustness of the adaptive lasso to model misspecification. [PDF]
Lu W, Goldberg Y, Fine JP.
europepmc +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
Random-effects psychophysics for studying individual differences in perception and cognition. [PDF]
Rouder JN, Mehrvarz M.
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
Methodological and regulatory considerations for causal AI in drug development. [PDF]
Lee H +6 more
europepmc +1 more source

