doi: 10.3389/fpsyg.2013.00975 Analyzing latent state-trait and multiple-indicator latent growth curve models as multilevel structural equation model
WOS: 000292072000002Single level analyses are insufficient in studies consisting of many groups, whe...
Traditionally, researchers have used time series and multilevel models to analyze intensive longitud...
Multilevel Structural Equation Models predicting state eudaimonic well-being from state extra-role p...
First order latent growth curve models (FGMs) estimate change based on a single observed variable an...
Latent growth curve models (LGCMs) are widely used methods for analyzing change in psychology and th...
Learning and development are ubiquitous. When new skills are acquired, when attitudes and interests ...
Topics: Basic ideas of latent state-trait-theory, Singletrait model, multistate model and...
Repeated measures and repeated events data have a hierarchical structure which can be analysed by us...
<p>Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes ...
Repeated measures and repeated events data have a hierarchical structure which can be analysed using...
Second-order latent growth models assess longitudinal change in a latent construct, typically employ...
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for a...
This article reviews Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural ...
Multilevel Structural Equation Models predicting state extra-role performance from state eudaimonic ...
Multilevel Structural Equation Models predicting mean daily levels of state extra-role performance f...
WOS: 000292072000002Single level analyses are insufficient in studies consisting of many groups, whe...
Traditionally, researchers have used time series and multilevel models to analyze intensive longitud...
Multilevel Structural Equation Models predicting state eudaimonic well-being from state extra-role p...
First order latent growth curve models (FGMs) estimate change based on a single observed variable an...
Latent growth curve models (LGCMs) are widely used methods for analyzing change in psychology and th...
Learning and development are ubiquitous. When new skills are acquired, when attitudes and interests ...
Topics: Basic ideas of latent state-trait-theory, Singletrait model, multistate model and...
Repeated measures and repeated events data have a hierarchical structure which can be analysed by us...
<p>Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes ...
Repeated measures and repeated events data have a hierarchical structure which can be analysed using...
Second-order latent growth models assess longitudinal change in a latent construct, typically employ...
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for a...
This article reviews Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural ...
Multilevel Structural Equation Models predicting state extra-role performance from state eudaimonic ...
Multilevel Structural Equation Models predicting mean daily levels of state extra-role performance f...
WOS: 000292072000002Single level analyses are insufficient in studies consisting of many groups, whe...
Traditionally, researchers have used time series and multilevel models to analyze intensive longitud...
Multilevel Structural Equation Models predicting state eudaimonic well-being from state extra-role p...
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