Yes, but what’s the mechanism? (don’t expect an easy answer).
Open accessAbstract
Psychologists increasingly recommend experimental analysis of mediation. This is a step in the right direction because mediation analyses based on nonexperimental data are likely to be biased and because experiments, in principle, provide a sound basis for causal inference. But even experiments cannot overcome certain threats to inference that arise chiefly or exclusively in the context of mediation analysis-threats that have received little attention in psychology. The authors describe 3 of these threats and suggest ways to improve the exposition and design of mediation tests. Their conclusion is that inference about mediators is far more difficult than previous research suggests and is best tackled by an experimental research program that is specifically designed to address the challenges of mediation analysis.
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The mediation results should be interpreted cautiously because the mediators were not experimentally manipulated.
“The mediation results should be interpreted cautiously, however, because we did not experimentally manipulate the mediators35,36.”
From Factual knowledge can reduce attitude polarization (2025) · cites this paper as [35]
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- Authors
- Bullock, J. G., Green, D. P., & Ha, S. E.
- Affiliations
- Northwestern University (US)
- Columbia University (US)
- Brooklyn College (US)
- Venue
- Journal of Personality and Social Psychology
- Published
- 2010
- Volume
- 98
- Issue
- 4
- Pages
- 550-558
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2144336235
- Cited by
- 1,063
- References
- 1
- Citations by year
- 2026: 83 · 2025: 67 · 2024: 87 · 2023: 54 · 2022: 92 · 2021: 83 · 2020: 116 · 2019: 77 · 2018: 49 · 2017: 56 · 2016: 69 · 2015: 67 · 2014: 50 · 2013: 37 · 2012: 33
- FWCI
- 30.59
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- PubMed (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Keywords
- mediation analysis, causal inference, experimental design, causal mechanisms
- MeSH terms
- Humans, Models, Psychological, Psychology, Experimental
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