Results 111 to 120 of about 5,672 (172)
Emotion regulation dynamics in empathy in young children. [PDF]
Israeli-Ran L +2 more
europepmc +1 more source
Abstract In ecological momentary assessment (EMA), respondents answer brief questionnaires about their current behaviours or experiences several times per day across multiple days. The frequent measurement enables a thorough grasp of the dynamics inherent in psychological constructs, but it also increases respondent burden.
Leonie V. D. E. Vogelsmeier +3 more
wiley +1 more source
Influence of S and Mn Initial Concentrations on the Graphite Branching in Gray Cast Iron as Quantified by 2D Image Analysis. [PDF]
De Santiago-Méndez LF +4 more
europepmc +1 more source
A tutorial for understanding SEM using R: Where do all the numbers come from?
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley +1 more source
Pathways to honesty: Exploring the ecological desistance of atypical lying features. [PDF]
Decrop R +5 more
europepmc +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
An exploration of relationships between associative and non-associative measures of inhibition. [PDF]
Brudan OI, Eisenbarth H, Glautier S.
europepmc +1 more source
Residual permutation tests for feature importance in machine learning
Abstract Psychological research has traditionally relied on linear models to test scientific hypotheses. However, the emergence of machine learning (ML) algorithms has opened new opportunities for exploring variable relationships beyond linear constraints.
Po‐Hsien Huang
wiley +1 more source

