Development of Externalizing Behaviors in Chicago Youth Exposed to Intimate Partner Violence, Illinois, 1994-2002 (ICPSR 36809)
Version Date: Aug 14, 2023 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Henriikka Weir, University of Colorado at Colorado Springs;
Catherine E. Kaukinen, University of Central Florida
https://doi.org/10.3886/ICPSR36809.v1
Version V1
Summary View help for Summary
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:
- 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?
- Are there distinct developmental trajectories of externalizing behaviors among youth exposed to IPV when compared to those not exposed to IPV?
- 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.
Citation View help for Citation
Export Citation:
Funding View help for Funding
Subject Terms View help for Subject Terms
Geographic Coverage View help for Geographic Coverage
Smallest Geographic Unit View help for Smallest Geographic Unit
None
Restrictions View help for Restrictions
Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reason for the request, and obtain IRB approval or notice of exemption for their research.
Distributor(s) View help for Distributor(s)
Time Period(s) View help for Time Period(s)
Date of Collection View help for Date of Collection
Data Collection Notes View help for Data Collection Notes
- For more information on the Project on Human Development in Chicago Neighborhoods (PHDCN), please visit the ICPSR series website.
- This study uses variables detailed in the codebook for ICPSR 20344 - Data From 500 Iterations of Data Augmentation (DS1). For original PHDCN instruments, please refer to the PHDCN Longitudinal Cohort Instruments Resource Guide.
-
The text-based data files for DS8 and DS9 were released as received from ICPSR; no processing was performed.
Study Purpose View help for Study Purpose
The current study had four goals:
- To examine whether there were differences in baseline levels of externalizing behaviors between intimate partner violence (IPV)-exposed vs. non-IPV exposed children
- To estimate longitudinal developmental trajectories of externalizing behaviors for IPV-exposed and non-IPV exposed children
- To compare the developmental pathways of externalizing behaviors of IPV-exposed vs. non-IPV-exposed children
- To evaluate individual- and neighborhood-level predictors of high externalizing behavior pathways among IPV-exposed children
Study Design View help for Study Design
The current study was a secondary analysis of Project on Human Development in Chicago Neighborhoods (PHDCN) data. To address issues with missing data, the primary source used for analysis was Emery's (2006) data (ICPSR 20344) that has been augmented to estimate missing values. Additional variables from all three waves of data collection were added to the primary dataset (please see Data Source for the original studies used).
Three separate main analytical techniques were performed to answer the research questions: propensity score matching (PSM), longitudinal latent class analysis (LLCA), and multinomial regression modeling. PSM was performed to reduce the possibility of confounding variables when examining mean scores of externalizing behaviors between groups across all three waves. Using Mplus software, LLCA was then performed separately for males and females who were exposed vs. not exposed to IPV. Finally, multinomial regression models were performed for males and females exposed to IPV to examine individual- and neighborhood-level predictors in externalizing behaviors.
For original PHDCN design information, please refer to the Resource Guide on the PHDCN Longitudinal Cohort Study.
Sample View help for Sample
The current study used data from individuals in age cohorts 12 and 15 (years old at the beginning of the study) who participated in all three waves of data collection. The final sample consisted of 912 individuals. Please refer to the Resource Guide on the PHDCN Longitudinal Cohort Study for original study sampling information.
Time Method View help for Time Method
Universe View help for Universe
Children, adolescents, and their primary caregivers living in Chicago neighborhoods at the time of study.
Unit(s) of Observation View help for Unit(s) of Observation
Data Source View help for Data Source
Description of Variables View help for Description of Variables
The treatment variable was exposure to intimate partner violence, based on primary caregiver reports of victimization or perpetration (e.g., threatened to hit, throw something at, pushed/grabbed, slapped, kicked, hit, bit, beat up, choked, threatened with or used weapon). The main outcome variable was a 20-item offending scale for externalizing behaviors, including multiple items of delinquency/criminal behavior, violence toward others, and substance use related offending.
The master dataset (DS1) also contains demographic items for the child (sex, age cohort, race, ethnicity) and the primary caregiver (marital status, education, employment status, household salary), problem behaviors scale scores, peer-related delinquency items, and self-reported alcohol and drug use. Longitudinal latent class assignment and probabilities based on offending scores are included in model and analytic datasets.
Response Rates View help for Response Rates
Please refer to the Resource Guide on the PHDCN Longitudinal Cohort Study for original response rate information.
Presence of Common Scales View help for Presence of Common Scales
Achenbach's Child Behavior Checklist
HideOriginal Release Date View help for Original Release Date
2023-08-14
Version History View help for Version History
2023-08-14 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Checked for undocumented or out-of-range codes.
Notes
The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.
ICPSR usually offers files in multiple formats for researchers to be able to access data and documentation in formats that work well within their needs. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR’s Accessibility Center.
One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.