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      Validating the Hornik & Woolf approach to choosing media campaign themes: Do promising beliefs predict behavior change in a longitudinal study?

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          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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          Author and article information

          Journal
          Commun Methods Meas
          Communication methods and measures
          Informa UK Limited
          1931-2458
          1931-2458
          2019
          : 13
          : 1
          Affiliations
          [1 ] Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, rhornik@asc.upenn.edu, , 3620 Walnut Street, Philadelphia, PA 19104.
          [2 ] Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA.
          [3 ] Fors Marsh Group, Arlington, VA.
          [4 ] Centre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Victoria, Australia.
          [5 ] Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA.
          [6 ] 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.
          Article
          NIHMS1512501
          10.1080/19312458.2018.1515902
          6660171
          31354897
          418a91c4-fc9b-42f5-997f-dbf8e6c3aea1
          History

          campaigns,choosing messages,communication research methods,evaluation research,health communication,media effects,observational research methods,surveys

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