BERSANI_Criminology_2013_zmYY - Shakya/Sevigny - Data Analytic Replication - g5m
Year: 2020
Type: preprint
Abstract: Divorce increases the likelihood of arrest. This reflects the following statement from the paper's abstract: "Estimates from multilevel within-individual models reveal greater support for situational mechanisms in that divorce is detrimental..." Drawing on a medical model framework, the authors cast the role of marriage as a treatment condition and observe whether the effect of marriage is conditional on staying married or whether the effect persists when the ”treatment" is taken away (i.e., divorce). The authors use 13 years of monthly level data from the National Longitudinal Survey of Youth (NLSY97), a nationally representative sample containing close to 3,000 individuals with an arrest history, to examine changes in relationship status and arrest from adolescence into young adulthood. Generalized Hierarchical Non-Linear Modeling (HLM) version 6.08 (Raudenbush, Bryk, and Congdon, 2007) was used for the analysis with self-reported arrest as the dependent variable. The full model specification is provided in equation form and can be gleaned from Table 2. The test of the selected claim is based on the location of the estimated coefficient for the “Divorce” measure reported in Table 3 under the column heading “Ever-Married and Ever Arrested Sample (N=813) Model 2”. The result was a statistically significant coefficient for the “Divorce” measure, b = .418, SE = .093, p < .001.
Source: OSF Preprints (OSF Preprints)
Institutions: Center for Open Science, Arizona State University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7130351614