ArticleScience and engineering ethics2018
Questionable, Objectionable or Criminal? Public Opinion on Data Fraud and Selective Reporting in Science.
Article in Science and engineering ethics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Effectiveness and Moderators of an Internet-Based Mobile-Supported Stress Management Intervention as a Universal Prevention Approach: Randomized Controlled Trial.Journal of medical Internet research · 2021Trial
- The Uptake of Preregistration, and Its Impact on the Proportion of Supported Hypotheses, in Sports Science.Sports medicine (Auckland, N.Z.) · 2026Article
- Contaminating the evidence: the reproducibility crisis and fraud in infectious disease research.Infection · 2026Article
- Shedding light on public perceptions of scientists who engage in wrongness admission amidst a failed replication.Public understanding of science (Bristol, England) · 2026Article
- Image fraud in nuclear medicine research.European journal of nuclear medicine and molecular imaging · 2026Article
- What is critical metascience and why is it important?Frontiers in psychology · 2026Review
- Reproducibility in the Social Sciences.Annual review of sociology · 2022Article
- What do participants think of our research practices? An examination of behavioural psychology participants' preferences.Royal Society open science · 2022Article
- Endangering the integrity of science by misusing unvalidated models and untested assumptions as facts: General considerations and the mineral and phosphorus scarcity fallacy.Sustainability science · 2021Review
- The psychology of experimental psychologists: Overcoming cognitive constraints to improve research: The 47th Sir Frederic Bartlett Lecture.Quarterly journal of experimental psychology (2006) · 2020Article
- Criminalization of scientific misconduct.Medicine, health care, and philosophy · 2019Article
- Science as a Matter of Honour: How Accused Scientists Deal with Scientific Fraud in Japan.Science and engineering ethics · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data fraud and selective reporting both present serious threats to the credibility of science. However, there remains considerable disagreement among scientists about how best to sanction data fraud, and about the ethicality of selective reporting. The public is arguably the largest stakeholder in the reproducibility of science; research is primarily paid for with public funds, and flawed science threatens the public's welfare. Members of the public are able to make meaningful judgments about the morality of different behaviors using moral intuitions. Legal scholars emphasize that to maintain legitimacy, social control policies must be developed with some consideration given to the public's moral intuitions. Although there is a large literature on popular attitudes toward science, there is no existing evidence about public opinion on data fraud or selective reporting. We conducted two studies-a survey experiment with a nationwide convenience sample (N = 821), and a follow-up survey with a representative sample of US adults (N = 964)-to explore community members' judgments about the morality of data fraud and selective reporting in science. The findings show that community members make a moral distinction between data fraud and selective reporting, but overwhelmingly judge both behaviors to be immoral and deserving of punishment. Community members believe that scientists who commit data fraud or selective reporting should be fired and banned from receiving funding. For data fraud, most Americans support criminal penalties. Results from an ordered logistic regression analysis reveal few demographic and no significant partisan differences in punitiveness toward data fraud.
Indexed as
Identifiers
28281156What 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.