Evaluating model fit for growth curve models: Integration of fit indices from SEM and MLM frameworks.
Evaluating overall model fit for growth curve models involves 3 challenging issues.(a) Three
types of longitudinal data with different implications for model fit may be distinguished …
types of longitudinal data with different implications for model fit may be distinguished …
Putting the individual back into individual growth curves.
Scaling of time (age) in latent growth curve (LGC) models has important implications for
studies of development. When participants begin a study at different ages, sample means …
studies of development. When participants begin a study at different ages, sample means …
Selecting a linear mixed model for longitudinal data: repeated measures analysis of variance, covariance pattern model, and growth curve approaches.
S Liu, MJ Rovine, P Molenaar - Psychological methods, 2012 - psycnet.apa.org
With increasing popularity, growth curve modeling is more and more often considered as the
1st choice for analyzing longitudinal data. Although the growth curve approach is often a …
1st choice for analyzing longitudinal data. Although the growth curve approach is often a …
Using simple and complex growth models to articulate developmental change: Matching theory to method
Growth curve modeling has become a mainstay in the study of development. In this article
we review some of the flexibility provided by this technique for describing and testing …
we review some of the flexibility provided by this technique for describing and testing …
Differentiating between mixed-effects and latent-curve approaches to growth modeling
In psychology, mixed-effects models and latent-curve models are both widely used to
explore growth over time. Despite this widespread popularity, some confusion remains …
explore growth over time. Despite this widespread popularity, some confusion remains …
Sensitivity of fit indices to misspecification in growth curve models
This study investigated the sensitivity of fit indices to model misspecification in within-
individual covariance structure, between-individual covariance structure, and marginal …
individual covariance structure, between-individual covariance structure, and marginal …
Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth …
B Muthén - 2001 - psycnet.apa.org
This chapter focuses on the interplay between growth curve modeling and structural
equation modeling (SEM). Growth curve modeling is concerned with the study of individual …
equation modeling (SEM). Growth curve modeling is concerned with the study of individual …
On the power of multivariate latent growth curve models to detect correlated change.
We evaluated the statistical power of single-indicator latent growth curve models (LGCMs) to
detect correlated change between two variables (covariance of slopes) as a function of …
detect correlated change between two variables (covariance of slopes) as a function of …
First-versus second-order latent growth curve models: Some insights from latent state-trait theory
First-order latent growth curve models (FGMs) estimate change based on a single observed
variable and are widely used in longitudinal research. Despite significant advantages …
variable and are widely used in longitudinal research. Despite significant advantages …
Twelve frequently asked questions about growth curve modeling
PJ Curran, K Obeidat, D Losardo - Journal of cognition and …, 2010 - Taylor & Francis
Longitudinal data analysis has long played a significant role in empirical research within the
developmental sciences. The past decade has given rise to a host of new and exciting …
developmental sciences. The past decade has given rise to a host of new and exciting …