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“To investigate the effects of justice system contact on future behavior, it is necessary to account for preexisting individual differences that may cause some individuals to have a higher risk of coming into contact with the justice system in the first place (e.g., see Murray, Farrington, & Eisner, 2009; Nagin & Paternoster, 1993; Piquero, Paternoster, Pogarsky, & Loughran, 2011; Pogarsky, 2002).”
From Does contact with the justice system deter or promote future delinquency? Results from a longitudinal study of British adolescent twins (2020) · cites this paper as Murray, Farrington, & Eisner, 2009
In the citing paper
“First, we followed the call of previous research (see, e.g., Farrington, 2003; Murray et al., 2009; Piquero et al., 2011; Pogarsky, 2002) and employed one of the most rigorous nonexperimental methodological designs capable of accounting for a wide range of selection effects and confounding influences.”
From Does contact with the justice system deter or promote future delinquency? Results from a longitudinal study of British adolescent twins (2020) · cites this paper as Murray et al., 2009
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Metadata
- Authors
- Murray, J., Farrington, D. P., & Eisner, M. P.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Murray, Joseph
- Venue
- Journal of Experimental Criminology
- Published
- 2009-01-25
- Volume
- 5
- Issue
- 1
- Pages
- 1-23
- ISSN
- 1572-8315 (ISSN-L)
- 1573-3750
- OpenAlex
- W2044803148
- Cited by
- 280
- References
- 113
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 45 · 2023: 25 · 2022: 17 · 2021: 20 · 2020: 11 · 2019: 18 · 2018: 17 · 2017: 13 · 2016: 12 · 2015: 20 · 2014: 10 · 2013: 14 · 2012: 18
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Experimental Criminology (publishedVersion)
- Funders
- British Academy
- Economic and Social Research Council (ES/E025390/1)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Keywords
- risk factors, causal risk factors, correlates, social intervention, social welfare, experimental evidence
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