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Using data from all three waves of the Project on Human Development in Chicago Neighborhoods (PHDCN), this secondary data analysis examined the long-term effects of intimate partner violence (IPV) exposure during childhood and adolescence on subsequent externalizing behaviors (i.e., delinquency, violence, and substance use related offending).

The research questions for this study were as follows:

1. Are there significant differences in the mean scores of different externalizing behaviors (measured as "offending" in the present study) in any of the three PHDCN waves between youth exposed to IPV and youth not exposed to IPV?
2. Are there distinct developmental trajectories of externalizing behaviors among youth exposed to IPV when compared to those not exposed to IPV?
3. How do different individual- and neighborhood-level variables act in predicting the developmental paths of externalizing behaviors among youth exposed to IPV?

Propensity score matching (PSM) was employed to match individuals reporting IPV exposure with those not exposed to IPV on key variables. Longitudinal latent class analyses (LLCA) were utilized to estimate the longitudinal developmental trajectories of externalizing behaviors independently for IPV and non-IPV exposed males and females and compared to each other. Multinomial logistic regression models were estimated separately for males and females exposed to IPV during their childhoods to examine the effect of different hypothesized class membership predictors.

This collection contains a master dataset primarily sourced from Emery's (2006) data augmentation along with key variables from all three waves from the PHDCN Longitudinal Cohort Study, cohorts 12 and 15 (DS1); datasets constructed solely for multinomial logistic regressions for youth exposed to IPV, separated by sex (DS2 and DS3); data for the final LLCA models separated by sex and exposure to IPV (DS4 to DS7); and probabilities and latent classes created using Mplus (DS8 to DS9) that can be merged to the multinomial regression data using the SUBID variable. Additionally, syntax for variable and model constructions, as well as Mplus output, have been included as a zip package. Please refer to the P.I. documentation for more information.

With the growing popularity, technological ease of using propensity score modeling (PSM), and the concern over its reliability and validity among scholars and practitioners, the researchers aimed to answer whether PSM methods can replicate the results from randomized controlled trials (RCTs). In this secondary data analysis, the researchers gathered the datasets of 10 publicly available and restricted RCT studies from the National Archive of Criminal Justice Data (NACJD), introduced an artificial selection bias into the treatment groups of these investigations, and then used each PSM technique to remove this selection bias. The team then compared the results generated from the PSM methods to those derived from the original RCT experiments, and meta-analyzed the findings across all studies to reveal the true reliability and validity of PSM in relation to RCTs using criminal justice data.

For each study used in this analysis, the researchers created SPSS syntax for variable recodes and artificial bias creation and a codebook with original study items, recoded variables, and analytic variables. (In one study, two RCTs were conducted and thus two sets of syntax and codebooks were created.) Seven text files contain the Stata and R code used to run each PSM technique. These materials have been zipped into a package and are available for restricted download. Please refer to the ICPSR README for more information.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study addressed the dearth of information about facilitators of transnational organized crime (TOC) by developing a method for identifying criminal facilitators of TOC within existing datasets and extend the available descriptive information about facilitators through analysis of pre-sentence investigation reports (PSRs). The study involved a two-step process: the first step involved the development of a methodology for identifying TOCFs; the second step involved screening PSRs to validate the methodology and systematically collect data on facilitators and their organizations. Our ultimate goal was to develop a predictive model which can be applied to identify TOC facilitators in the data efficiently.

The collection contains 1 syntax text file (TOCF_Summary_Stats_NACJD.sas). No data is included in this collection.

The primary goal of this project was to increase understanding about the mechanisms and processes of desistance from crime and drug use among current urban, largely racial minority, and increasingly women criminal offenders. This research follows former drug-involved offenders for over 20 years post-release from prison in Delaware. The project was guided by Paternoster and Bushway's identity theory of desistance (2009), which relies on the concept of identity that is theorized to provide direction for an individual's behavior. The identity theory of desistance emphasizes the individual identity as reflexive, interpretive, and as such, premised on human agency.

The project featured a multi-method design and unfolded in two phases. The sample for this study originated from a previous sample used to evaluate the efficacy of therapeutic communities in reducing recidivism and relapse for drug involved offenders released from Delaware prisons in the early 1990s. In Phase I of the present study, official arrest records were obtained for the previous sample of 1,250 offenders from 1956 to 2008 from both official Delaware Statistical Analysis Center (SAC) and National Crime Information Center (NCIC) data sources. From these data, race- and gender-specific offending trajectory models were estimated. In Phase II, in-depth qualitative interviews were conducted with 304 respondents selected from within the different offending trajectory groups. The goal of the interviews was to examine the processes and mechanisms that led to persistence or desistance from crime and drugs.

DS1 contains NCIC and Delaware SAC arrest records for the full sample in Phase I. DS2 contains demographic information and trajectory group assignment for the Phase II interview sample participants. Qualitative data are not available for this collection.