Structural equation modeling: a primer for health behavior researchers.
OBJECTIVE
To introduce the state of the art of structural equation modeling (SEM).


METHODS
This primer is organized in a manner allowing readers to review any one of 5 freestanding sections.


RESULTS
SEM maintains several advantages over regression and other multivariate techniques. Through a 2-step modeling process, SEM strengthens research by allowing for the specification of complex, theory-driven models that can be tested with empirical data. Although use of SEM alone is not a magic solution, new software developments provide users with unparalleled flexibility for improving research.


CONCLUSIONS
SEM must be thrust into the daily vocabulary and routine practice of health behavior researchers.
Buhi
Eric R
ER
Department of Community and Family Health, University of South Florida, Tampa, FL 33612, USA. ebuhi@health.usf.edu
Goodson
Patricia
P
Neilands
Torsten B
TB
D015438:Health Behavior; D006801:Humans; D015233:Models, Statistical; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D012044:Regression Analysis; D012106:Research; D012107:Research Design