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This study identified classes of developmental trajectories of physical dating violence victimization from grades 8 to 12 and examined theoretically-based risk factors that distinguished among trajectory classes. Data were from a multi-wave longitudinal study spanning 8th through 12th grade (n = 2,566; 51.9 % female). Growth mixture models were used to identify trajectory classes of physical dating violence victimization separately for girls and boys. Logistic and multinomial logistic regressions were used to identify situational and target vulnerability factors associated with the trajectory classes. For girls, three trajectory classes were identified: a low/non-involved class; a moderate class where victimization increased slightly until the 10th grade and then decreased through the 12th grade; and a high class where victimization started at a higher level in the 8th grade, increased substantially until the 10th grade, and then decreased until the 12th grade. For males, two classes were identified: a low/non-involved class, and a victimized class where victimization increased slightly until the 9th grade, decreased until the 11th grade, and then increased again through the 12th grade. In bivariate analyses, almost all of the situational and target vulnerability risk factors distinguished the victimization classes from the non-involved classes. However, when all risk factors and control variables were in the model, alcohol use (a situational vulnerability) was the only factor that distinguished membership in the moderate trajectory class from the non-involved class for girls; anxiety and being victimized by peers (target vulnerability factors) were the factors that distinguished the high from the non-involved classes for the girls; and victimization by peers was the only factor distinguishing the victimized from the non-involved class for boys. These findings contribute to our understanding of the heterogeneity in physical dating violence victimization during adolescence and the malleable risk factors associated with each trajectory class for boys and girls.
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Ackard, D. M., Neumark-Sztainer, D., & Hannan, P. (2003). Dating violence among a nationally representative sample of adolescent girls and boys: Associations with behavioral and mental health. Journal of Gender-Specific Medicine,6, 39–48. PubMed
Akaike, H. (1987). Factor Analysis and AIC. Psychometrika,52, 317–322. CrossRef
Angold, A., Costello, E. J., Messer, S. C., & Pickles, A. (1995). Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. International Journal of Methods in Psychiatric Research,5, 237–249.
Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equations perspective. Hoboken, New Jersey: Wiley.
Centers for Disease Control and Prevention (2011). Youth risk behavior surveillance— United States [Rep. no. 61 (no. 4)]. Atlanta, GA: Office of Surveillance, Epidemiology and Laboratory Services.
Chase, K. A., Treboux, D., & O’Leary, K. D. (2002). Characteristics of high-risk adolescents’ dating violence. Journal of Interpersonal Violence,17, 33–49. CrossRef
Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review,52, 170–183. CrossRef
Dahlberg, L. L., Toal, S. B., Swahn, M., & Behrens, C. B. (2005). Measuring violence-related attitudes, behaviors, and influences among youths: A compendium of assessment tools (2nd ed.). Atlanta, GA: Centers for Disease Control and Prevention, National Center for Injury Prevention and Control.
DiClemente, R., Wingood, G. M., Crosby, R., Sionean, C., Cobb, B. K., Harrington, K., et al. (2001). Parental monitoring: Association with adolescents’ risk behaviors. Pediatrics,6, 1363–1368. CrossRef
Ellis, W. E., Crooks, C. V., & Wolfe, D. A. (2009). Relational aggression in peer and dating relationships: Links to psychological and behavioral adjustment. Social Development,18, 253–269. CrossRef
Ennett, S. T., Bauman, K. E., Hussong, A., Faris, R., Foshee, V. A., Cai, L., et al. (2006). The peer context of adolescent substance use: Findings from social network analysis. Journal of Research on Adolescence,16, 159–186. CrossRef
Finkelhor, D., & Asdigian, N. L. (1996). Risk factors for youth victimization: Beyond a lifestyles theoretical approach. Violence and Victims,11, 3–20. PubMed
Foshee, V. A. (1996). Gender differences in adolescent dating violence abuse prevalence, types and injuries. Health Education Research,11, 275–286. CrossRef
Foshee, V. A., Benefield, T., Suchindran, C., Ennett, S. T., Bauman, K. E., Karriker-Jaffe, K. J., et al. (2009). The development of four types of adolescent dating abuse and selected demographic correlates. Journal of Research on Adolescence,19, 380–400. CrossRef
Foshee, V. A., & Reyes, H. L. M. (2009). Primary prevention of dating abuse: When to begin, whom to target, and how to do it. In J. Lutzker & D. Whitaker (Eds.), Preventing partner violence: Research and evidence- based intervention strategies (pp. 141–168). Washington, DC: American Psychological Association.
Foshee, V. A., & Reyes, H. L. M. (2012a). Adolescent dating abuse: Primary prevention efforts. In J. R. Levesque (Ed.), Encyclopedia of adolescence. Berlin: Springer.
Foshee, V. A., & Reyes, H. L. M. (2012b). Dating abuse: Prevalence, consequences, and predictors. In J. R. Levesque (Ed.), Encyclopedia of adolescence (pp. 602–615). Berlin: Springer.
Fritz, P. A. T., & Slep, A. M. S. (2009). Stability of physical and psychological adolescent dating aggression across time and partners. Journal of Clinical Child and Adolescent Psychology,38, 303–314.
Hindelang, M. S., Gottfredson, M., & Garofalo, J. (1978). Victims of personal crime. Cambridge, MA: Ballinger.
Howard, D. E., & Wang, M. Q. (2003a). Risk profiles of adolescent girls who were victims of dating violence. Adolescence,38, 1–14. PubMed
Howard, D. E., & Wang, M. Q. (2003b). Psychosocial factors associated with adolescent boys’ reports of dating violence. Adolescence,38, 519–533. PubMed
Howard, D. E., Wang, M. Q., & Yan, F. (2008). Psychosocial factors associated with reports of physical dating violence victimization among US adolescent males. Adolescence,43, 449–460. PubMed
Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika,88, 767–778. CrossRef
Muthén, L. K., & Muthén, B. O. (2011). Mplus users guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychological Methods,4, 139–157. CrossRef
O’Donnell, L., Stueve, A., Myint, U., Duran, R., Agronick, G., & Wilson-Simmons, R. (2006). Middle school aggression and subsequent intimate partner physical violence. Journal of Youth and Adolescence,35, 693–703. CrossRef
O’Leary, K. D., & Slep, A. M. S. (2003). A dyadic longitudinal model of adolescent dating aggression. Journal of Clinical Child & Adolescent Psychology,32, 314–327.
Ozer, E. J., Tschann, J. M., Pasch, L. A., & Flores, E. (2004). Violence perpetration across peer and partner relationships: Co-occurrence and longitudinal patterns among adolescents. Journal of Adolescent Health,34, 64–71. PubMed
Petersen, A. C., Schulenberg, J. E., Abramowitz, R. H., Offer, D., & Jarcho, H. D. (1994). A self-image questionnaire for young adolescents (SIQYA): Reliability and validity studies. Journal of Youth and Adolescence,13, 93–111. CrossRef
Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley. CrossRef
SAS Institute (2010). Statistical analysis software (SAS) (Version 9.3) [Computer software]. Cary, NC: SAS Institute Inc.
Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics,6, 461–464. CrossRef
Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika,52, 333–343. CrossRef
Steinberg, L., Fletcher, A., & Darling, N. (1994). Parental monitoring and peer influences on adolescent substance use. Pediatrics,93, 1060–1064. PubMed
Straus, M. A., & Gelles, R. J. (1986). Societal change and change in family violence from 1975 to 1985 as revealed by two national surveys. Journal of Marriage and the Family,48, 465–479. CrossRef
Vicary, J. R., Klingaman, L. R., & Harkness, W. L. (1995). Risk factors associated with date rape and sexual assault of adolescent girls. Journal of Adolescence,18, 289–306. CrossRef
Wiesner, M., & Windle, M. (2004). Assessing covariates of adolescent delinquency trajectories: A latent growth mixture modeling approach. Journal of Youth and Adolescence,33, 431–442. CrossRef
- Predictors of Latent Trajectory Classes of Physical Dating Violence Victimization
Vangie A. Foshee
Susan T. Ennett
- Springer US