OBJECTIVE: To introduce the state of the art of structural equation modeling (SEM). METHOD: 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. CONCLUSION: SEM must be thrust into the daily vocabulary and routine practice of health behavior researchers.
OBJECTIVE: To introduce the state of the art of structural equation modeling (SEM). METHOD: 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. CONCLUSION: SEM must be thrust into the daily vocabulary and routine practice of health behavior researchers.
Authors: Christopher W Wheldon; Ellen M Daley; Eric R Walsh-Buhi; Julie A Baldwin; Alan G Nyitray; Anna R Giuliano Journal: Am J Mens Health Date: 2016-06-06
Authors: Joyce R Javier; Dean M Coffey; Lawrence A Palinkas; Michele D Kipke; Jeanne Miranda; Sheree M Schrager Journal: Pediatrics Date: 2019-02 Impact factor: 7.124
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