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The ABC’s of LGM: An Introductory Guide to Latent Variable Growth Curve Modeling
Author(s) -
Duncan Terry E.,
Duncan Susan C.
Publication year - 2009
Publication title -
social and personality psychology compass
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 53
ISSN - 1751-9004
DOI - 10.1111/j.1751-9004.2009.00224.x
Subject(s) - latent growth modeling , parallels , latent variable , latent variable model , psychology , growth model , growth curve (statistics) , structural equation modeling , interpretation (philosophy) , data science , econometrics , developmental psychology , computer science , artificial intelligence , machine learning , mathematical economics , mathematics , mechanical engineering , engineering , programming language
In recent years, we have witnessed an increase in the complexity of theoretical models that attempt to explain behavior from both contextual and developmental perspectives. This increase in the complexity of our theoretical propositions regarding behavior parallels recent methodological advances for the analysis of change. These new analysis techniques have fundamentally altered how we conceptualize and study change. Researchers have begun to identify larger frameworks to integrate our knowledge regarding the analysis of change. One such framework is latent growth modeling, perhaps the most important and influential statistical revolution to have recently occurred in the social and behavioral sciences. This study presents a basic introduction to a latent growth modeling approach for analyzing repeated measures data. Included is the specification and interpretation of the growth factors, primary extensions such as the analysis of growth in multiple populations, and structural models including both precursors of growth, and subsequent outcomes hypothesized to be influenced by the growth functions.