Abstract
Objectives
Using data from a nationally representative survey of adolescents in Finland this research examined the influence of spending time in public settings on the risk of physical assault and robbery victimization.
Methods
Binary and multinomial regression models were estimated to disaggregate associations between hours spent in public settings and characteristics of the victimization incident. The amount of causality/spuriousness in the association was examined using a method of situational decomposition.
Results
Our findings indicate that: (1) an active night life (any time after 6 pm) has a strong effect on victimization for boys, whereas much of the association between night life and victimization is spurious for girls; (2) after-school activity is not a risk factor; (3) adolescents who frequent public places at night increase their risk of victimization by people they know as well as strangers; and (4) much of the risk of night time activity in public settings is alcohol-related.
Conclusions
Our research suggests that a good deal of the risk associated with spending time in public settings is a function of the victim’s own risky behavior rather than inadvertent physical contact with motivated offenders in the absence of capable guardians. In addition, this lifestyle is significantly more victimogenic for males.
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Notes
Equations were estimated using listwise deletion for missing data. The sample size, therefore, varied somewhat for different equations. Fewer than 3 % of the cases were lost as a result of missing data in any equation.
Unlike the case with OLS regression, the logistic regression model does not permit the standardization of Y due to the non-linear measurement of the dependent variable (i.e., 0/1). As such, the estimates are considered “partially standardized” because they reflect only standardized versions of the predictors (Menard 2003). This procedure does not yield beta coefficients entirely comparable to those produced in OLS, though partially standardized variables allow us to gauge the relative importance of the predictors in terms of their relationship to the logit. The coefficients obtained for the independent variables can be interpreted as the change in the logit associated with a one standard deviation change in the independent variable.
If we compared more than two time periods at a time, we would give advantage to the time period least correlated with the other two.
The large standard error associated with Swedish ethnicity in the robbery equation among boys is due to the small number of Swedish victims who were drinking. We re-estimated the equation using a dependent variable that combined “victim intoxicated” and “both intoxicated” into a single category. This alteration produced a reasonable standard error but did not affect the pattern of results reported in Table 6.
Causal influence should not be confused with blameworthiness. People sometimes engage in behaviors (e.g., adolescent drinking) that increase their risk of victimization (Felson 1991). Whether those behaviors are reckless or morally questionable is outside the scope of empirical research.
References
Anderson AL, Hughes LA (2009). Exposure to situations conducive to delinquent behavior: the effect of time use, income, and transportation. J Res Crime Delinquency 46(1):5–34
Bettencourt BA, Miller N (1996) Gender differences in aggression as a function of provocation: a meta-analysis. Psychol Bull 119:422–447
Byrnes JP, Miller DC, Schafer WD (1999) Gender differences in risk taking: a meta-analysis. Psychol Bull 125:367–383
Cobbina J, Miller J, Brunson R. (2008) Gender, neighborhood danger and risk-avoidance strategies among urban African-American youth. Criminology 46:673–709
Cross AB, Gottfredson DC, Wilson DM, Rorie M, Connell N (2009) The impact of after-school programs on the routine activities of middle-school students: results from a randomized, controlled trial. Criminol Public Policy 8(2):391–412
DeLisi M (2003) Self-control pathology: the elephant in the living room. In: Britt CL, Gottfredson MR (eds) Control theories of crime and delinquency, advances in criminological theory. Transaction, New Brunswick, vol 12
Ellonen N, Aaltonen M (2012) The association between drinking and victimization among Finnish adolescents: estimating the size of the spurious effect. Nordic Stud Alcohol Drugs 29(2):125–138
Ellonen N, Kääriäinen J, Salmi V, Sariola H (2008) Lasten ja nuorten väkivaltakokemukset: Tutkimus peruskoulun 6. ja 9. luokan oppilaiden kokemasta väkivallasta. [Children’s and Adolescents’ Violent Experiences]. Police College of Finland, Tampere
Esbensen F, Huizinga D (1991) Juvenile victimization and delinquency. Youth Soc 23:202–228
Evans TD, Cullen FT, Burton VS, Dunaway G, Benson ML (1997) The social consequences of self-control: testing the general theory of crime. Criminology 35:475–504
Fagan J, Piper E, Chen Y-T (1987) The contribution of delinquency to victimization in inner cities. J Crim Law Criminol 78:586–613
Felson RB (1991) Blame analysis: accounting for the behavior of protected groups. Am Sociol 22:5–23
Felson RB (1997) Routine activities and involvement in violence as actor, witness, or target. Violence Vict 12:209–222
Felson RB (2002) Violence and gender reexamined. American Psychological Association, Washington, DC
Felson M, Boba R (2010) Crime and everyday life, 4th edn. Sage Publications, Thousand Oaks
Felson RB, Burchfield K (2004) Alcohol and the risk of physical and sexual assault victimizations. Criminology 42:837–858
Felson RB, Feld S (2009) When a man hits a woman: moral evaluations and reporting violence to the police. Aggress Behav 35:477–488
Felson M, Gottfredson M (1984) Social indicators of adolescent activities near peers and parents. J Marriage Fam 46:709–714
Felson RB, Teasdale B, Burchfield K (2008a) The influence of being under the influence: alcohol effects on adolescent violence. J Res Crime Delinquency 45:119–141
Felson RB, Savolainen J, Aaltonen M, Moustgaard H (2008b) Is the association between alcohol use and delinquency causal or spurious? Criminology 46:301–324
Felson RB, Savolainen J, Bjarnason T, Anderson AL, Tusty Zohra I (2011) The cultural context of adoelscent drinking and violence in 30 European countries. Criminology 49:699–728
Finkelhor D, Asdigian NL (1996) Risk factors for youth victimization: beyond a lifestyles/routine activities theory approach. Violence Victims, pp 3–19.
Flammer A, Alsaker FD, Noack P (1999) Time use by adolescents in an international perspective. I. The case of leisure activities. In: Flammer A, Alsaker FD (eds) The adolescent experience. European and American adolescents in the 1990s. Lawrence Erlbaum and Associates, Mahwah
Flannery DJ, Williams LL, Vazsonyi AT (1999) Who are they with and what are they doing? Delinquent behavior, substance use, and early adolescents’ after-school time. Am J Orthopsychiatry 69:247–253
Gottfredson M (1984). Victims of crime: dimensions of risk. Home office research study. Her Majesty’s Stationary Office, London, UK
Gottfredson DC, Gerstenblith SA, Soulé DA, Womer SC, Shaoli L (2004) Do after school programs reduce delinquency? Prev Sci 5:253–266
Hartmann D, Depro B (2006) Rethinking sports-based community crime prevention: a preliminary analysis of the relationship between midnight basketball and urban crime Rates. J Sport Social Issues 30:180–196
Hibell B, Andersson B, Bjarnason T, Ahlström S, Balakireva O, Kokkevi A, Morgan M (2004) The ESPAD Report 2003. Alcohol and other drug use among students in 35 European countries. The Swedish Council for Information on Alcohol and Other Drugs, Stockholm
Hindelang M, Gottfredson M, Garofalo J (1978) Victims of personal crime: an empirical foundation for a theory of personal victimization. Ballinger, Cambridge
Hough M, Mayhew P (1983) British crime survey: first report. Home Office Research Study 76. Home Office Research and Planning Unit, London
Hurme R, Malin R-L, Syväoja O (1987) Suomi/Englanti käsisanakirja [Finnish/English pocket dictionary]. Werner Söderström, Porvoo
Jensen GF, Brownfield D (1986) Gender, lifestyles and victimization: beyond Routine activities theory. Violence Vict 1:85–111
Kennedy L, Forde D (1990) Routine activities and crime: an analysis of victimization in Canada. Criminology 28:137–152
Kennedy L, Forde D (1996) Pathways to aggression: a factorial survey of “routine conflict.” J Quantitat Criminol, pp 417–438
Kruttschnitt C, Savolainen J (2009) Ages of chivalry, places of paternalism. Eur J Criminol 6(3):225–247
Lasley JR (1989) Drinking routines/lifestyles and predatory victimization: a causal analysis. Justice Q 6:529–542
Lauritsen J (2003) How families and communities influence youth victimization. U.S. Department of Justice. Office of Juvenile Justice and Delinquency Programs (OJJDP), November
Lauritsen JL, Carbone-Lopez K (2011) Gender differences in risk factors for violent victimization: an examination of individual-, family-, and community-level predictors. J Res Crime Delinquency 48:538–565
Lauritsen J, Laub J (2007) Understanding the Link between Victimization and Offending: New Reflections on an Old Idea. In: Hough M, Maxfield M (eds) Surveying crime in the 21st century. Criminal Justice Press, Monsey, vol 22
Lauritsen J, Laub J, Sampson R (1992) Conventional and delinquent activities: implications for the prevention of violent victimization among adolescents. Violence Vict 7:91–108
Lynch JP (1987) Routine activity and victimization at work. J Quant Criminol 3:283–300
Lynch JP (1991) Victim behavior and risk of victimization: the implications of activity-specific victimization rates. In: Gunther K, Kury H, Albrecht HJ (eds) International research in victimology. Max Planck Institute, Frieburg, vol 3
McDowall D, Loftin C, Wiersema B (2000) The impact of youth curfew laws on juvenile crime rates. Crime Delinquency 46:76–91
Menard S (2003) Applied logistic regression analysis. Sage, Thousand Oaks
Messner SF, Savolainen J (2001) Gender and the victim-offender relationship in homicide: a comparison of Finland and the United States. Int Criminal Justice Rev 11(1):34–57
Miethe T, Mark Stafford J, Long S (1987) Social differentiation in criminal victimization: a test of routine activities/lifestyle theories. Am Sociol Rev 52:184–194
Miller J (2008) Getting played: African American girls, urban inequality, and gendered violence. New York University Press, New York
Moffitt TE, Caspi A, Rutter M, Silva PA (2001) Sex differences in antisocial behaviour: conduct disorder, delinquency, and violence in the Dunedin longitudinal study. Cambridge University Press, Cambridge, UK
Obstbaum Y (2006) Brottslighet bland finskspråkiga och svenskspråkiga ungdomar [Juvenile Delinquency among the Swedish Speaking Minority of Finland]. Research Communication No. 69. National Research Institute of Legal Policy, Helsinki
Osgood DW, Wilson JK, O’Malley P, Bachman JG, Johnston L (1996) Routine activities and individual deviant behavior. Am Sociol Rev 61:635–655
Rai AA, Stanton B, Ying W, Galbraith J, Cottrell L, Pack R, Harris C, D’Alessandri D, Burns J (2003) Relative influences of perceived parental monitoring and perceived peer involvement on adolescent risk behaviors: an analysis of six cross-sectional data sets. J Adolesc Health 33:108–118
Ravert RD (2009) You’re only young once. Things college students report doing now before it is too late. J Adoles Res 24:376–396
Sampson R, Lauritsen JL (1990) Deviant lifestyles, proximity to crime and the offender-victim link in personal violence. J Res Crime Delinquency 23:110–139
Schreck CJ, Fisher BS (2004) Specifying the influence of family and peers on violent victimization: extending routine activities and lifestyles theories. J Interpers Violence 19:1021–1041
Snyder H, Sickmund M (2006) Juvenile offenders and victims. 2006 National Report. National Center for Juvenile Justice. March. Office of Justice Programs
Soulé D, Gottfredson DC, Bauer E (2008) It’s 3 pm. Do you know where your child is? A study on the timing of juvenile victimization and delinquency. Justice Q 25:623–646
Sparks R (1982) Research on victims of crime. U.S. Government Printing Office, Washington, DC
Taylor TJ, Peterson D, Esbensen F-A, Freng A (2007) Gang membership as a risk factor for adolescent violent victimization. J Res Crime Delinquency 44:351–380
The Clearinghouse on International Developments in Child, Youth, and Family Policies at Columbia University (2011) Table 2.31b: Mother’s Employment Rates by Age of Youngest Child in 2002. http://www.childpolicyintl.org/. Accessed October 17, 2011
Warr M (1993) Age, peers, and delinquency. Criminology 31:17–40
Wilcox P, Skubak-Tiller M, Fisher B (2009) Gendered opportunity? School-based adolescent victimization. J Res Crime Delinquency 46:245–268
Wilcox-Rountree P, Land KC, Miethe TD (1994) Macro-micro integration in the study of victimization: a hierarchical logistic model analysis across Seattle neighborhoods. Criminology 32:387–414
Wittebrood K, Nieuwbeerta P (1999) Wages of sin? The link between offending, lifestyle and violent victimization. Eur J Crim Policy Res 7:63–80
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Felson, R.B., Savolainen, J., Berg, M.T. et al. Does Spending Time in Public Settings Contribute to the Adolescent Risk of Violent Victimization?. J Quant Criminol 29, 273–293 (2013). https://doi.org/10.1007/s10940-012-9179-5
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DOI: https://doi.org/10.1007/s10940-012-9179-5