Psychometric network models from time-series and panel data

Researchers in the field of network psychometrics often focus on the estimation of Gaussian graphical models (GGMs)—an undirected network model of partial correlations—between observed variables of cross-sectional data or single-subject time-series data. This assumes that all variables are measured...

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Veröffentlicht in:	Psychometrika Jg. 85; H. 1; S. 206 - 231
1. Verfasser:	Epskamp, Sacha
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2020 Springer Nature B.V
Schlagworte:	Assessment Behavioral Science and Psychology Computer Simulation - statistics & numerical data Cross-Sectional Studies Depression - drug therapy Depression - psychology Ecological Momentary Assessment - standards Error of Measurement Humanities Humans Interrupted Time Series Analysis - methods Law Longitudinal studies Male Metabolic Networks and Pathways Middle Aged Models, Statistical Networks Normal Distribution Psychology Psychometrics Psychometrics - methods Quantitative psychology Random variables Regression analysis Sample variance Software packages Statistical Theory and Methods Statistics for Social Sciences Structural equation modeling Testing and Evaluation Theory and Methods Time Time series dynamics Gaussian graphical model time-series data network psychometrics structural equation modeling panel data
ISSN:	0033-3123, 1860-0980, 1860-0980
Online-Zugang:	Volltext
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