Network analysis of multivariate data in psychological science
In recent years, network analysis has been applied to identify and analyse patterns of
statistical association in multivariate psychological data. In these approaches, network …
statistical association in multivariate psychological data. In these approaches, network …
Motivation-achievement cycles in learning: A literature review and research agenda
The question of how learners' motivation influences their academic achievement and vice
versa has been the subject of intensive research due to its theoretical relevance and …
versa has been the subject of intensive research due to its theoretical relevance and …
Theory construction methodology: A practical framework for building theories in psychology
D Borsboom, HLJ van der Maas… - Perspectives on …, 2021 - journals.sagepub.com
This article aims to improve theory formation in psychology by developing a practical
methodology for constructing explanatory theories: theory construction methodology (TCM) …
methodology for constructing explanatory theories: theory construction methodology (TCM) …
Lack of theory building and testing impedes progress in the factor and network literature
EI Fried - Psychological Inquiry, 2020 - Taylor & Francis
The applied social science literature using factor and network models continues to grow
rapidly. Most work reads like an exercise in model fitting, and falls short of theory building …
rapidly. Most work reads like an exercise in model fitting, and falls short of theory building …
Network analysis: a brief overview and tutorial
D Hevey - Health psychology and behavioral medicine, 2018 - Taylor & Francis
Objective: The present paper presents a brief overview on network analysis as a statistical
approach for health psychology researchers. Networks comprise graphical representations …
approach for health psychology researchers. Networks comprise graphical representations …
Comparing network structures on three aspects: A permutation test.
CD Van Borkulo, R van Bork, L Boschloo… - Psychological …, 2022 - psycnet.apa.org
Network approaches to psychometric constructs, in which constructs are modeled in terms of
interactions between their constituent factors, have rapidly gained popularity in psychology …
interactions between their constituent factors, have rapidly gained popularity in psychology …
Estimating psychological networks and their accuracy: A tutorial paper
The usage of psychological networks that conceptualize behavior as a complex interplay of
psychological and other components has gained increasing popularity in various research …
psychological and other components has gained increasing popularity in various research …
The Gaussian graphical model in cross-sectional and time-series data
We discuss the Gaussian graphical model (GGM; an undirected network of partial
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …
correlation coefficients) and detail its utility as an exploratory data analysis tool. The GGM …
Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research
The estimation of the correct number of dimensions is a long-standing problem in
psychometrics. Several methods have been proposed, such as parallel analysis (PA), Kaiser …
psychometrics. Several methods have been proposed, such as parallel analysis (PA), Kaiser …
Generalized network psychometrics: Combining network and latent variable models
We introduce the network model as a formal psychometric model, conceptualizing the
covariance between psychometric indicators as resulting from pairwise interactions between …
covariance between psychometric indicators as resulting from pairwise interactions between …