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Searching for the Full Picture: Structural Equation Modeling in Alcohol Research
Author(s) -
Schuckit Marc A.,
Windle Michael,
Smith Tom L.,
Hesselbrock Victor,
Ohannessian Christine,
Averna Susan,
Bauer Lance,
Kramer John,
Bucholz Kathleen,
Sher Kenneth J.
Publication year - 2006
Publication title -
alcoholism: clinical and experimental research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.267
H-Index - 153
eISSN - 1530-0277
pISSN - 0145-6008
DOI - 10.1111/j.1530-0277.2006.00031.x
Subject(s) - structural equation modeling , perspective (graphical) , affect (linguistics) , psychology , sociology , computer science , artificial intelligence , communication , machine learning
This article summarizes the proceedings of a symposium presented at the 2005 Research Society on Alcoholism meeting in Santa Barbara, California. This symposium begins with a description by Michael Windle of structural equation modeling (SEM), including the assets and liabilities of this approach. Next, Marc Schuckit and Tom Smith demonstrate the application of an SEM approach to understanding the impact of a low level of response to alcohol, using data from both adolescent and adult populations. Victor Hesselbrock and colleagues next review the results when an SEM approach is used in the longitudinal study of externalizing behaviors. This is followed by a description of the application of SEM to an affect‐related model as discussed by John Kramer and Kathleen Bucholz. Finally, Kenneth Sher offers thoughts on how to place these findings into perspective.