Journal of Criminal Justice · 2017 · 490 citations · 155 references
Social SciencesBehavioral SciencesPsychologyCrimeDevianceForensic PsychologyTheory Of DevianceYouth DevianceLongitudinal Cohort StudiesMeta-analysis BiasPublication Bias DetectionPublication Selection Bias
Purpose The current meta-analysis examines the link between self-control and measures of crime and deviance, taking stock of the empirical status of self-control theory and focusing on work published between 2000 and 2010.\nMethods A total of 796 studies were reviewed for inclusion/exclusion criteria and yielded a final study sample of 99 studies (88 cross-sectional and 19 longitudinal effect sizes, analyzed separately). Random effects mean correlations between self-control and deviance were analyzed for cross-sectional and longitudinal studies, respectively. Publication bias was assessed using multiple methods.\nResults A random effects mean correlation between self-control and deviance was Mr = 0.415 for cross-sectional studies and Mr = 0.345 for longitudinal ones; this effect did not significantly differ by study design. Studies with more male participants, studies based on older or US-based populations, and self-report studies found weaker effects.\nConclusions Substantial empirical support was found for the main argument of self-control theory and on the transdisciplinary link between self-control and measures of crime and deviance. In contrast to Pratt and Cullen, but consistent with theory, the effect from cross-sectional versus longitudinal studies did not significantly differ. There was no evidence of publication bias.
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Bias in meta-analysis detected by a simple, graphical test
Matthias Egger, George Davey Smith, Martin Schneider et al. · BMJ · 1997 · 56.3K citations
The file drawer problem and tolerance for null results.
Robert Rosenthal · Psychological Bulletin · 1979 · 8.6K citations