Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups
Author:
Affiliation:
1. The Pennsylvania State University, USA, and Max Planck Institute for Human Development, Germany,
2. University of California, Davis, USA
Abstract
Publisher
SAGE Publications
Subject
Developmental and Educational Psychology,Life-span and Life-course Studies,Developmental Neuroscience,Social Psychology,Social Sciences (miscellaneous),Education
Link
http://journals.sagepub.com/doi/pdf/10.1177/0165025409343765
Reference53 articles.
1. Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes.
2. Overextraction of Latent Trajectory Classes: Much Ado About Nothing? Reply to Rindskopf (2003), Muthén (2003), and Cudeck and Henly (2003).
3. The Integration of Continuous and Discrete Latent Variable Models: Potential Problems and Promising Opportunities.
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