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. Author manuscript; available in PMC: 2014 Mar 31.
Published in final edited form as: Violence Vict. 2014;29(1):89–108. doi: 10.1891/0886-6708.vv-d-12-00102

TABLE 2.

Regression Models With Complex Sampling Design Depicting the Results of Main and Moderating Effects Using Violent Behavior, Toughness, and Gender Role Ideology as the Outcomes

Violent Behaviora
Toughnessb
Gender Role Ideologyb
Model 1a Model 1b Model 1c Model 2a Model 2b Model 2c Model 3a Model 3b Model 3c
Neighborhood Characteristics
    Neighborhood Disadvantage .016 (.025) .021 (.026) .023 (.027) .013 (.046) .021 (.046) .024 (.040) –.033 (.075) –.041 (.075) –.028 (.082)
    Percentage of Black Residents –.205 (.226) –.233 (.224) –.043 (.223) .309 (.400) .287 (.405) .791* (.349) .284 (.588) .303 (.583) .714 (.588)
    Gender Equality Index –.017 (.062) .135 (.083) .090 (.075) –.060 (.100) .202 (.105) .119 (.110) .163 (.155) –.063 (.200) –.073 (.195)
Gender Variables
    Male .298* (.123) .296* (.121) .106 (.119) .621** (.235) .625** (.225) .243 (.220) 1.948** (.336) 1.944** (.333) 1.568** (.331)
    Male × Gender Equality Index –.321** (.115) –.292** (.106) –.564** (.200) –.408* (.197) .487 (.351) .527 (.329)
Individual Characteristics
    Violent Behavior at Age 16 .391** (.045) .380** (.044) .279** (.044) .175* (.084) –.344* (.146)
    Parental Monitoring –.061* (.026) –.069 (.045) –.296** (.071)
    Violent Peers .217** (.045) .785** (.108) .541** (.169)
    Low Self-Control .044** (.010) .108** (.021) –.012 (.030)
    Moved –.123 (.131) –.006 (.201) –.258 (.370)
    Spending Time at Neighborhoods .068* (.034) –.076 (.060) .002 (.095)
Constant –.906** (.123) –.892** (.123) –2.587** (.470) 16.263** (.206) 16.283** (.205) 11.481** (.789) 15.332** (.296) 15.315** (.297) 16.588** (1.282)

Note. Unstandardized coefficients shown with robust stand errors in parentheses; neighborhood gender inequality is standardized by z-transformation (mean = 0 and SD = 1); N = 703.

a

Negative binomial regression with complex sampling design.

b

Ordinary least squares (OLS) regression with complex sampling design.

*

p ≤ .05.

**

p ≤ .01.

p ≤ .10, two-tailed.