Results 201 to 210 of about 39,538 (265)
Some of the next articles are maybe not open access.
A Multi-Rater Latent Growth Curve Model
Multivariate Behavioral Research, 2021To avoid the subjectivity of having a single person evaluate a construct of interest (e.g., a student's self-efficacy in school), multiple raters are often used. Increasingly, data that use multiple raters to evaluate psychological and social-emotional constructs over time are available.
James, Soland, Megan, Kuhfeld
openaire +2 more sources
Latent state–trait and latent growth curve modeling of inhibitory control.
Journal of Experimental Psychology: General, 2023The reliability of inhibitory control task performance as well as the existence of an underlying unitary inhibitory construct have been questioned. The present study is the first to use a trait and state decomposition approach to formally quantify the reliability of inhibitory control and to examine its hierarchical structure.
Kaja Faßbender +2 more
openaire +2 more sources
Reliability in Latent Growth Curve Models
2021Abstract In this chapter I give an overview of reliability in the context of latent growth curve models. Although conceptually similar to latent factor models, reliability is more complex in a growth context. Two different conceptions of reliability were compared: growth curve reliability and growth rate reliability. The former evaluates
openaire +3 more sources
Latent Growth and Dynamic Structural Equation Models
Annual Review of Clinical Psychology, 2018Latent growth models make up a class of methods to study within-person change—how it progresses, how it differs across individuals, what are its determinants, and what are its consequences. Latent growth methods have been applied in many domains to examine average and differential responses to interventions and treatments. In this review, we introduce
Kevin J, Grimm, Nilam, Ram
openaire +2 more sources
Estimating Latent Growth Curve Models
2023Although LGC modeling is gaining popularity in some disciplines, it has not been widely employed in social-epidemiological studies. This paper presents an introduction to the latent growth curve (LGC) technique within a structural equation modelling (SEM) framework as a powerful tool to analyze change in individual attributes over time (e.g., behaviors,
openaire +1 more source
The International Journal of Aging and Human Development, 2016
The latent growth curve model (LGCM) is a useful tool in analyzing longitudinal data. It is particularly suitable for gerontological research because the LGCM can track the trajectories and changes of phenomena (e.g., physical health and psychological well-being) over time.
openaire +2 more sources
The latent growth curve model (LGCM) is a useful tool in analyzing longitudinal data. It is particularly suitable for gerontological research because the LGCM can track the trajectories and changes of phenomena (e.g., physical health and psychological well-being) over time.
openaire +2 more sources
A Unified Latent Growth Curve Model
Structural Equation Modeling: A Multidisciplinary Journal, 2013Applying item response theory models to repeated observations has demonstrated great promise in developmental research. By allowing the researcher to take account of the characteristics of both item response and measurement error in longitudinal trajectory analysis, it improves the reliability and validity of latent growth curve analysis.
Chueh-An Hsieh +4 more
openaire +1 more source