Opportunistic biases: Their origins, effects, and an integrated solution
Jamie DeCoster1, Erin A Sparks2, Jordan C Sparks3
1Center for Advanced Study of Teaching and Learning.
Researchers often explore data multiple ways, introducing opportunistic bias. This bias inflates results, leading to invalid conclusions and unclear findings in scientific publications.
Area of Science:
- Psychological science
- Research methodology
Background:
- Researchers explore data through multiple analyses before publication.
- This practice, while aiding discovery, introduces "opportunistic bias."
- Opportunistic bias inflates reported findings, potentially exceeding true effect sizes.
Purpose of the Study:
- To explain how common research practices create opportunistic bias.
- To discuss the prevalence and impact of this bias in psychology.
- To evaluate existing and propose new solutions to mitigate opportunistic bias.
Main Methods:
- Review of accepted research practices contributing to bias.
- Analysis of the prevalence of these practices in psychological research.
- Evaluation of methodological strategies for bias correction.
Main Results:
- Accepted practices like data exploration can lead to significant "opportunistic bias."
- This bias distorts findings, making them appear stronger than reality.
- Opportunistic biases are often unreported and difficult to detect.
Conclusions:
- Opportunistic bias undermines the validity and clarity of research findings.
- Addressing this bias is crucial for the integrity of psychological science.
- An integrated solution is proposed to reduce the influence of opportunistic bias.
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