title: Structural equation modeling: a primer for health behavior researchers.
abstract: 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.
authors.affiliation: Department of Community and Family Health, University of South Florida, Tampa, FL 33612, USA. ebuhi@health.usf.edu
authors.forename: Eric R
authors.initials: ER
authors.lastname: Buhi
authors.forename: Patricia
authors.initials: P
authors.lastname: Goodson
authors.forename: Torsten B
authors.initials: TB
authors.lastname: Neilands
mesh_terms: D015438:Health Behavior; D006801:Humans; D015233:Models, Statistical; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D012044:Regression Analysis; D012106:Research; D012107:Research Design