The DOI matches its Crossref record; 203 of the 207 references it cites were found in a registry or an index.
The Intervention Selection Bias: An Underrecognized Confound in Intervention Research.
Abstract
Selection bias can be the most important threat to internal validity in intervention research, but is often insufficiently recognized and controlled. The bias is illustrated in research on parental interventions (punishment, homework assistance); medical interventions (hospitalization); and psychological interventions for suicide risk, sex offending, and juvenile delinquency. The intervention selection bias is most adequately controlled in randomized studies or strong quasi-experimental designs, although recent statistical innovations can enhance weaker designs. The most important points are to increase awareness of the intervention selection bias and to systematically evaluate plausible alternative explanations of data before making causal conclusions.
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“there is selection bias in who gets spanked—children with more behavior problems elicit more discipline generally and spanking in particular (Larzelere, Kuhn, & Johnson, 2004).”
From Spanking and child outcomes: Old controversies and new meta-analyses. (2016) · cites this paper as Larzelere, Kuhn, & Johnson, 2004
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Metadata
- Authors
- Larzelere, R. E., Kuhn, B. R., & Johnson, B.
- Affiliations
- University of Nebraska Medical Center (US)
- University of Pennsylvania (US)
- Venue
- Psychological Bulletin
- Published
- 2004-03
- Volume
- 130
- Issue
- 2
- Pages
- 289-303
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2125639870
- Cited by
- 144
- References
- 207
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 7 · 2023: 3 · 2022: 10 · 2021: 7 · 2020: 8 · 2019: 3 · 2018: 5 · 2017: 9 · 2016: 10 · 2015: 7 · 2014: 8 · 2013: 6 · 2012: 6
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- 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 › Public Administration › Evaluation and Performance Assessment
- Keywords
- confounding, internal validity, parental intervention, punishment, homework help, medical interventions, hospitalization, psychological intervention, suicide risk, sexual offending, juvenile delinquency, randomized controlled trials, quasi-experimental design, causal inference
- MeSH terms
- Mental Disorders, Child, Female, Humans, Juvenile Delinquency, Male, Psychotherapy, Punishment, Research Design, Social Support, Suicide, Attempted, Parenting
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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