Structural equation modeling: a primer for 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-ste...
| Publicado en: | American Journal of Health Behavior Vol. 31; no. 1; pp. 74 - 86 |
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| Autores principales: | , , |
| Formato: | equations & formulas review tables/charts Journal Article |
| Publicado: |
PNG Publications
Jan/Feb2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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. |
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