Evidence map›Paper›PMID 27867218›Full record

ArticleThe Journal of communication2016

Predictive Validity of an Empirical Approach for Selecting Promising Message Topics: A Randomized-Controlled Study.

Stella Juhyun Lee, Emily Brennan, Laura Anne Gibson, Andy S L Tan, Ani Kybert-Momjian, Jiaying Liu, Robert Hornik

Abstract read
In one paragraph

Article in The Journal of communication, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Stella Juhyun LeeAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Emily BrennanCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Victoria 3004, Australia.
Laura Anne GibsonAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Andy S L TanCenter for Community-Based Research, Division of Population Sciences, Dana-Farber Cancer Institute, Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Ani Kybert-MomjianAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jiaying LiuAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.
Robert HornikAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C., LERMAN, CARYN · 2013 to 2017
$18.7M
Training / Career DevelopmentP20CA095856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2008 to 2012
$8.7M
NCI NIH HHS P20 CA095856NCI NIH HHS P50 CA179546
6 · The paper itself

Abstract

Several message topic selection approaches propose that messages based on beliefs pretested and found to be more strongly associated with intentions will be more effective in changing population intentions and behaviors when used in a campaign. This study aimed to validate the underlying causal assumption of these approaches which rely on cross-sectional belief-intention associations. We experimentally tested whether messages addressing promising themes as identified by the above criterion were more persuasive than messages addressing less promising themes. Contrary to expectations, all messages increased intentions. Interestingly, mediation analyses showed that while messages deemed promising affected intentions through changes in targeted promising beliefs, messages deemed less promising also achieved persuasion by influencing nontargeted promising beliefs. Implications for message topic selection are discussed.

Indexed as

Campaign DesignExperimental MethodsMessage EffectsMessage TopicsPredictive Validity

Identifiers

PMID27867218
PMCPMC5113814

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.