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 |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106266337&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106266337 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10873244 8GA jtl: American Journal of Health Behavior issn: 10873244 maglogo: N pubinfo: dt: Jan/Feb2007 vid: 31 iid: 1 pid: 8968 pub: PNG Publications place: Oak Ridge, North Carolina artinfo: ui: 106266337 106266337 2009537147 10.5993/ajhb.31.1.8 NLM17181464 106266337 ppf: 74 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Structural equation modeling: a primer for health behavior researchers. aug: au: Buhi ER Goodson P Neilands TB affil: Department of Community and Family Health, University of South Florida, Tampa, FL 33612, USA. ebuhi@health.usf.edu sug: subj: Behavioral Research Health Behavior Structural Equation Modeling Data Analysis Software Data Analysis, Statistical Sample Size Variable ab: 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. pubtype: Academic Journal doctype: equations & formulas review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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