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Incremental criterion validity of message perceptions and effects perceptions in the context of anti-smoking messages
Author(s) -
Sabeeh A Baig,
Seth M. Noar,
Nisha C. Gottfredson,
Allison J. Lazard,
Kurt M. Ribisl,
Noel T. Brewer
Publication year - 2020
Publication title -
journal of behavioral medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.213
H-Index - 94
eISSN - 1573-3521
pISSN - 0160-7715
DOI - 10.1007/s10865-020-00163-0
Subject(s) - psychology , health psychology , perception , context (archaeology) , formative assessment , criterion validity , incremental validity , structural equation modeling , social psychology , predictive validity , clinical psychology , developmental psychology , construct validity , psychometrics , public health , medicine , paleontology , pedagogy , statistics , nursing , mathematics , neuroscience , biology
To select promising health messages, formative research has often relied on perceived message effectiveness (PME) scales assessing either of two related constructs, message perceptions (persuasive potential) and effects perceptions (potential for behavioral impact). We sought to examine their incremental criterion validity within a comparative framework. Participants were 703 U.S. adult smokers (ages [Formula: see text] 21) who received anti-smoking or comparable control (littering) messages on their cigarette packs for 3 weeks. Structural equation models examined both PME constructs as simultaneous correlates of outcomes from the UNC Tobacco Warnings Model. Message perceptions demonstrated incremental criterion validity with attention, an early behavioral antecedent ([Formula: see text] = 0.82, p < .001). Effects perceptions demonstrated incremental criterion validity with later behavioral antecedents (range [Formula: see text] = 0.74-0.87, all p < .01) and quitting behaviors ([Formula: see text] = 0.36-0.66, all p < .001). Formative research on anti-smoking messages may benefit from focusing on effects perceptions to characterize potential for behavior change.

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