Research design influence on study outcomes in crime and justice: A partial replication with public area surveillance
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Two recent reviews in crime and justice suggest that weaker research designs might lead to more positive outcomes.
“While the biases in quasiexperimental research are not clear (e.g., Campbell & Boruch, 1975; Wilkinson & Task Force on Statistical Inference, 1999), two recent reviews in crime and justice suggest that weaker research designs might lead to more positive outcomes (e.g., see Weisburd, Lum, & Petrosino, 2001; Welsh, Peel, Farrington, Elffers, & Braga, 2011).”
From Hot spots policing of small geographic areas effects on crime (2019) · cites this paper as Welsh, Peel, Farrington, Elffers, & Braga, 2011
Recent reviews in crime and justice suggest that weaker research designs often lead to more positive outcomes, and there is evidence that nonexperimental designs in crime and justice are likely to overstate outcomes compared with randomized experiments.
“recent reviews in crime and justice suggest that weaker research designs often lead to more positive outcomes (e.g. see Weisburd, Lum, and Petrosino 2001; Welsh et al. 2011).”
From Hot spots policing effects on crime (2012) · cites this paper as Welsh et al. 2011
Stronger effects of physical activity interventions on internalizing problems in quasi-experimental studies may be explained by larger biases and less rigorous designs of quasi-experimental studies compared to RCTs.
“The findings of stronger effects of physical activity interventions on internalizing problems in quasi-experimental studies may be explained by larger biases and less rigorous designs of quasiexperimental studies compared to RCT-studies”
From The effects of physical activity interventions on psychosocial outcomes in adolescents: a meta-analytic review (2016) · cites this paper as Welsh, Peel, Farrington, Elffers, & Braga, 2011
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ZASADY EWALUACJI SKUTECZNOŚCI MONITORINGU WIZYJNEGO
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- Authors
- Welsh, B. C., Peel, M. E., Farrington, D. P., Elffers, H., & Braga, A. A.
- Affiliations
- Northeastern University (US)
- University of Cambridge (GB)
- Netherlands Institute for the Study of Crime and Law Enforcement (NL)
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Welsh, Brandon C.
- Venue
- Journal of Experimental Criminology
- Published
- 2010-10-12
- Volume
- 7
- Issue
- 2
- Pages
- 183-198
- ISSN
- 1572-8315 (ISSN-L)
- 1573-3750
- OpenAlex
- W2143678814
- Cited by
- 79
- References
- 52
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 8 · 2020: 8 · 2019: 7 · 2018: 6 · 2017: 3 · 2016: 9 · 2015: 2 · 2014: 5 · 2013: 4 · 2012: 13
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- green
- research.vu.nl
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Journal of Experimental Criminology (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Law › Criminal Justice and Penology
- Keywords
- study design quality, internal validity, effect size, crime prevention, replication, systematic reviews
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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