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Validating the Hornik & Woolf approach to choosing media campaign themes: Do promising beliefs predict behavior change in a longitudinal study?
Hornik, Robert C; Volinsky, Allyson C; Mannis, Shane; Gibson, Laura; Brennan, Emily; Lee, Stella J; Tan, Andy S L.
  • Hornik RC; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, rhornik@asc.upenn.edu, , 3620 Walnut Street, Philadelphia, PA 19104.
  • Volinsky AC; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA.
  • Mannis S; Fors Marsh Group, Arlington, VA.
  • Gibson L; Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA.
  • Brennan E; Centre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Victoria, Australia.
  • Lee SJ; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Tan ASL; Population Sciences Division, Center for Community Based Research, Dana-Farber Cancer Institute, Boston, MA; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA.
Commun Methods Meas ; 13(1): 60-68, 2019.
Article en En | MEDLINE | ID: mdl-31354897
ABSTRACT
Hornik and Woolf (1999) proposed using cross-sectional survey data to prioritize beliefs to address with communication campaign messages. The empirical component of the approach combines evidence of (1) association of beliefs with intentions and (2) current level of beliefs to calculate a 'percentage to gain' as the potential promise of a belief. However, the method relies on cross-sectional data; its conclusions are open to challenge. Here, a panel study assesses whether the calculated promise of a belief actually predicts future behavior change. A nationally representative sample of 3,204 U.S. youth and young adults were interviewed twice, six months apart. Sixteen beliefs about the benefits and costs of smoking cigarettes are compared with regard to their percentage to gain (calculated from cross-sectional data) and their ability to account for subsequent cigarette use. A belief's cross-sectional percentage to gain is substantially associated with its ability to predict subsequent behavior change (r=.53, p<.05).
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2019 Tipo del documento: Article