The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
The Taboo Against Explicit Causal Inference in Nonexperimental Psychology
Open accessAbstract
Causal inference is a central goal of research. However, most psychologists refrain from explicitly addressing causal research questions and avoid drawing causal inference on the basis of nonexperimental evidence. We argue that this taboo against causal inference in nonexperimental psychology impairs study design and data analysis, holds back cumulative research, leads to a disconnect between original findings and how they are interpreted in subsequent work, and limits the relevance of nonexperimental psychology for policymaking. At the same time, the taboo does not prevent researchers from interpreting findings as causal effects—the inference is simply made implicitly, and assumptions remain unarticulated. Thus, we recommend that nonexperimental psychologists begin to talk openly about causal assumptions and causal effects. Only then can researchers take advantage of recent methodological advances in causal reasoning and analysis and develop a solid understanding of the underlying causal mechanisms that can inform future research, theory, and policymakers.
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Causality: Models, Reasoning, and Inference
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Mostly Harmless Econometrics: An Empiricist's Companion
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A gradient of childhood self-control predicts health, wealth, and public safety
Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., Houts, R., Poulton, R., Roberts, B. W., Ross, S., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010076108 · Cited by 4,885
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702 · cited 2×
“Their lower prior probability in turn results in more nonsignificant findings and more false-positive findings (Diekmann, 2011; Fiedler, 2017; Ioannidis, 2005).2 Hence, theories without firmly established relationships and laws are not particularly useful, for example, for tackling the replication…”
Fixed Effects Regression Models
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Causal Inference Using Potential Outcomes: Design, Modeling, Decisions
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Metadata
- Authors
- Grosz, M. P., Rohrer, J. M., & Thoemmes, F.
- Venue
- Perspectives on Psychological Science
- Publisher
- SAGE Publications
- Published
- 2020-07-29
- Volume
- 15
- Issue
- 5
- Pages
- 1243-1255
- ISSN
- 1745-6916 (ISSN-L)
- 1745-6924
- OpenAlex
- W3022698454
- Cited by
- 322
- References
- 58
- FWCI
- 29.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
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