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

Autores

Eric R. Buhi, Patricia Goodson, Torsten B. Neilands,

Tópico(s)

Statistical Methods and Applications

Resumo

To 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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