ReviewThe Journal of communication2018
Perceived Message Effectiveness Meets the Requirements of a Reliable, Valid, and Efficient Measure of Persuasiveness.
Review in The Journal of communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- How Do Behavioral Framing, Linguistic Certainty, and Target Specification Impact Responses to Vaping Prevention Messages?Journal of health communication · 2024Trial
- Examining the Longitudinal Relationship Between Perceived and Actual Message Effectiveness: A Randomized Trial.Health communication · 2024Trial
- Responses to pictorial versus text-only cigarillo warnings among a nationally representative sample of US young adults.Tobacco control · 2023Trial
- Effects of Prior Exposure to Conflicting Health Information on Responses to Subsequent Unrelated Health Messages: Results from a Population-Based Longitudinal Experiment.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022Trial
- Comparison of Message and Effects Perceptions forHealth communication · 2021Trial
- Impact of Graphic Warning Messages on Intentions to Use Alternate Tobacco Products.Journal of health communication · 2020Trial
- Advancing Support for Electronic Cigarette Control Policies in the United States: The Impact of Theory-Based Messaging Strategies.Preventive medicine reports · 2025Article
- Strategies for Effective Public Health Communication in a Complex Information Environment.Annual review of public health · 2025Review
- Achieving Public Health Impact: Health Communication Research to Inform Tobacco Regulatory Science.Health communication · 2024Article
- Exploring perceived learning effectiveness in virtual reality health communication through the lens of construal level theory.BMC public health · 2024Article
- Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians' Evaluation of Large Language Models for Smoking Cessation Interventions.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024Article
- Article
- A Content Analysis of U.S. Adults' Open-Ended Responses to E-Cigarette Risk Messages.Health communication · 2022Article
- Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine.Journal of medical Internet research · 2022Article
- Tailored Cigarette Warning Messages: How Individualized Loss Aversion and Delay Discounting Rates Can Influence Perceived Message Effectiveness.International journal of environmental research and public health · 2021Article
- An Efficient Message Evaluation Protocol: Two Empirical Analyses on Positional Effects and Optimal Sample Size.Journal of health communication · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.