ERIC Number: EJ1290712
Record Type: Journal
Publication Date: 2021-Jan
Pages: 20
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1520-3247
EISSN: N/A
A Comparison of Three Approaches for Identifying Correlates of Heterogeneity in Change
New Directions for Child and Adolescent Development, n175 p141-160 Jan 2021
Longitudinal research is often interested in identifying correlates of heterogeneity in change. This paper compares three approaches for doing so: the mixed-effects model (latent growth curve model), the growth mixture model, and structural equation model trees. Each method is described, with special focus given to how each structures heterogeneity, attributes that heterogeneity to covariates, and the kinds of research questions each can be used to address. Each approach is used to analyze data from the National Longitudinal Survey of Youth to understand the similarities and differences between methods in the context of empirical data. Specifically, changes in weight across adolescence are examined, as well as how differences in these change patterns can be explained by sex, race, and mother's education. Recommendations are provided for how to select which approach is most appropriate for analyzing one's own data.
Descriptors: Longitudinal Studies, National Surveys, Growth Models, Structural Equation Models, Data Analysis, Body Weight, Adolescents, Sex, Race, Mothers, Parent Background
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Longitudinal Survey of Youth
Grant or Contract Numbers: N/A