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Journal Article 11.1

Citation: Zhu, Y., Chan, K. L., & Chen, J. (2015). Bullying victimization among Chinese middle school students. Journal of Interpersonal Violence. doi:10.1177/0886260515621082

Abstract: This study used the data from a representative sample to investigate the association between family violence (FV) and child bullying victimization (BV) in Xi’an city, China. Data on social demographic information and the prevalence of BV and FV were collected from a randomly selected sample with 3,175 middle school students aged 15 to 17 by self-administrated questionnaires. Results show that 55.9% and 30.3% of the participants have witnessed intimate partner violence (IPV), 37.7% and 30.8% have been victims of child abuse, and 54.9% and 44.6% have been bullied in a lifetime and in the preceding year, respectively. The lifetime and preceding-year co-occurrence rate of FV and BV are 45% and 30.4%, respectively. Multiple logistic regressions confirm FV as a unique risk factor in predicting both direct and relational BV after controlling for a number of confounding factors. This study suggests that FV experiences should be included in the screening and assessment of risk for child BV.

Journal Article 11.2

Citation: Saint-Eloi Cadely, H., Pittman, J. F., Pettit, G., Lansford, J. E., Bates, J. E., Dodge, K. A., & Hotlzworth-Monroe, A. (2017). Classes of intimate partner violence from late adolescence to young adulthood. Journal of Interpersonal Violence. doi:10.1177/0886260517715601

Abstract: Researchers do not agree on how intimate partner violence (IPV) emerges and changes from adolescence to young adulthood. This may be because change in these behaviors varies across individuals. The present study uses a longitudinal, person-centered approach to examine whether there are multiple classes or patterns of change in the perpetration of IPV during the transitional period from adolescence (age 18) to young adulthood (age 25) using data collected annually from a community sample of 484 participants. Latent class analysis was the analytic approach used. Results revealed three patterns for psychological IPV (Little-to-None, Minor/Increasing, and Extensive/Increasing) and two patterns for physical IPV (Little-to-None and Extensive). Patterns varied greatly in number of representatives, although they were more balanced in size for psychological than physical IPV. Variations in IPV behaviors were also revealed across classes, although as expected in a community sample, minor forms of IPV were more common than severe forms. In addition, classes differed in demographic and relationship status variables. These findings suggest that IPV may occur in multiple distinct patterns as opposed to one average pattern across a population. This suggests that interventions for IPV may need to be geared to differences in patterns to enhance their efficacy.