Selective Attrition and the Age-Crime Relationship

By Robert W. Brame, Alex R. Piquero. 2003

92 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/43c81b0f2227d4d0568f7595fc8149a05a9000ba

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In Nature and Landscape Conservation

In Sociology and Political Science

Citations in the corpus

Cutting the Grass: A Reexamination of the Link between Marital Attachment, Delinquent Peers and Desistance from Marijuana Use (2005, background): “paper by Brame and Piquero (2003). In general, researchers encounter a problem when trying”
A practical guide to the analysis of non-response and attrition in longitudinal research using a real data example (2018, background): “Brame & Piquero (2003), for example, note that in longitudinal studies of delinquent behavior, those with the highest levels of delinquency tend to be more likely to drop-out.”
Gang Membership, Gun Carrying, and Employment: Applying Routine Activities Theory to Explain Violent Victimization Among Inner City, Minority Youth Living in Extreme Poverty* (2008, background): “…associated with longitudinal data collection (Brame & Paternoster, 2003a), the substantive importance of sample attrition is its potential to bias parameter estimates for the prevalence and frequency of delinquency and drug use (Brame & Piquero, 2003b; Thornberry, Bjerrgaard, & Miles, 1993a).”
Gender Differences in Impulsivity (2007, background): “If respondents with missing data are systematically different from respondents with complete data, problems with estimation may result (Brame & Paternoster, 2003; Brame & Piquero, 2003).”
Self‐control, peer relations, and delinquency (2005, background): “Missing data problems often plague longitudinal research and can cause estimation problems if those with missing data are systematically different from respondents with complete data (Brame & Paternoster, 2003; Brame & Piquero, 2003).”
A random walk in the literature on criminality: A partial and critical view on some statistical analyses and modelling approaches (2010, unknown): “studies because one cannot exclude that individuals who drop out of a longitudinal study differ in important ways from individuals who do not [12].”