Structural equation modeling: a primer for health behavior researchers.
2006; National Institutes of Health; Volume: 31; Issue: 1 Linguagem: Inglês
10.5555/ajhb.2007.31.1.74
AutoresEric R. Buhi, Patricia Goodson, Torsten B. Neilands,
Tópico(s)Statistical Methods and Applications
ResumoTo introduce the state of the art of structural equation modeling (SEM).This primer is organized in a manner allowing readers to review any one of 5 freestanding sections.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.SEM must be thrust into the daily vocabulary and routine practice of health behavior researchers.
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