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. Author manuscript; available in PMC: 2014 Oct 30.
Published in final edited form as: J Youth Adolesc. 2008 Aug;37(7):830–846. doi: 10.1007/s10964-008-9270-2

Table 5.

Hierarchical linear models predicting children’s depressive symptoms

Model 1 Model 2 Model 3 Model 4 Model 5
Control variable
 Children’s age −2.7 (0.63)** −2.18 (0.59)** −1.75 (0.53)** −1.85 (0.52)** −2.16 (0.61)**
Level 2: Community risk factors
 Poverty and unemployment 12.14 (2.25)** 10.56 (3.25)** 9.88 (3.25)** 9.42 (2.69)**
Level 1: Demographic, familial, and personal risk factors
 Demographic risk variable 0.40 (0.43) 0.39 (0.45) 0.42 (0.38)
 Negative life events 0.01 (0.07) 0.05 (0.06)
 Negative parenting behaviors 1.35 (0.52)** 0.73 (0.45)
 Depressive attributional style 0.11 (0.03)**
 Self-perceived competence −5.37 (0.86)**
Statistics
 Deviance statistic 1959.69 1946.61 1789.14 1661.39 1533.13
 df 4 5 6 8 10
 Δ Deviance statistic 25.12 12.14 157.47 127.75 128.26
 Δ df 1 1 1 2 2
*

p < .05;

**

p < .01

N = 197 students from 21 neighborhoods

Note: Unstandardized coefficients (B) are shown with robust standard errors in parentheses

All variables are grand mean centered. Demographic risk variable = composite formed from dichotomized demographic risk variables, including parental income under $20,000, single parenthood status, less than a 12th grade parental education, 4 or more children living in the home, child gender (female), and child ethnicity (ethnic minority)