Related Experiment Video
Updated: Jul 9, 2026

07:36
An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
Published on: May 3, 2016
Causal factors implicated in research misconduct: evidence from ORI case files
Mark S Davis1, Michelle Riske-Morris, Sebastian R Diaz
1Criminal Justice Research Center, The Ohio State University, Columbus, OH 43210, USA. davis.198@sociology.osu.edu
Science and Engineering Ethics
|November 27, 2007
Summary
Research misconduct stems from personal stressors, organizational issues, and individual factors. Understanding these causes can inform policies to prevent scientific misconduct.
Area of Science:
- Scientific integrity and research ethics
- Social sciences in research
Background:
- Empirical research on the causes of research misconduct is limited.
- The Office of Research Integrity (ORI) case files provide a data source for this investigation.
Purpose of the Study:
- To empirically investigate the underlying causes of research misconduct.
- To identify key factors contributing to research integrity violations.
Main Methods:
- Analysis of statements extracted from closed ORI case files.
- Categorization of statements into 44 concepts.
- Application of multidimensional scaling and cluster analysis.
Main Results:
- Identification of seven distinct clusters of factors contributing to misconduct:
- 1. Personal and professional stressors
- 2. Organizational climate
- 3. Job insecurities
- 4. Rationalizations A
- 5. Personal inhibitions
- 6. Rationalizations B
- 7. Personality factors.
Conclusions:
- Findings highlight the multifactorial nature of research misconduct.
- Implications for developing targeted policies and future research directions are discussed.
Related Concept Videos
Bias
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Ethics in Research
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
Correspondence Bias
Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the prevalence of...
Criteria for Causality: Bradford Hill Criteria - II
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Correlation and Causation
Correlation and CausationStatistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. A relationship between variables shows correlation, but it does not show cause-and-effect. A direct cause-and-effect relationship requires additional controlled experiments. If no consistent relationship exists between the variables, then there is no correlation.Correlation versus CausationIf the dependent variable increases or decreases when the...
Cause and Effect
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?

