2019
DOI: 10.1080/19312458.2019.1620711
|View full text |Cite
|
Sign up to set email alerts
|

Message Pretesting Using Perceived Persuasiveness Measures: Reconsidering the Correlational Evidence

Abstract: Perceived message effectiveness (PME) measures have been used in persuasive message pretesting to diagnose differences between messages in actual message effectiveness (AME). This practice has been underwritten by pointing to positive correlations between individuals' PME and AME scores. This essay argues that such correlations do notand cannotshow that messages' relative standing on PME matches their relative standing on AME, and thus correlations between individuals' PME and AME scores are irrelevant to the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 17 publications
(9 citation statements)
references
References 54 publications
0
9
0
Order By: Relevance
“…In phase 3, the messages were further tested using a convenience sample of the target audience for perceived persuasiveness. Pretesting potential messages to identify the ones that are more likely to be relatively effective is an important step to assist the message designer or researcher in the process of selecting messages to include in the intervention [ 61 ].…”
Section: Discussionmentioning
confidence: 99%
“…In phase 3, the messages were further tested using a convenience sample of the target audience for perceived persuasiveness. Pretesting potential messages to identify the ones that are more likely to be relatively effective is an important step to assist the message designer or researcher in the process of selecting messages to include in the intervention [ 61 ].…”
Section: Discussionmentioning
confidence: 99%
“…This focus on change, together with a time lag and the separation of between-and within-individual processes, enables cleaner causal inference. It also helps alleviate, to some extent, a major concern about PE measurement, that is, the confound between message differences (external shocks that produce within-individual changes in PE) and individual differences (between-individual variation in PE ratings) (for discussion of this issue, see Noar, Bell et al, 2018;O'Keefe, 2020;Yzer et al, 2015;Zhao et al, 2011).…”
Section: Analysis Strategymentioning
confidence: 99%
“…1. The current evidence on PE has also been challenged from another angle (O'Keefe, 2020). In a recent commentary, O'Keefe (2020) argues that individual-level relationship between PE and AE is irrelevant to the question of whether PE can identify relatively effective or ineffective messages -only message-level correlation between PE and AE can serve that purpose.…”
Section: Notementioning
confidence: 99%
See 2 more Smart Citations