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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: Am J Community Psychol. 2013 Jun;51(0):370–384. doi: 10.1007/s10464-012-9557-z

Table 5.

Multilevel Regression Results Predicting Community Economic Problems

Predictor 2009 Economic indicator values
Post-downturn annual change
Regression coefficient SE Regression coefficient SE
Community-level predictors (N = 24 communities, df = 19)
 CTC v. control community status -0.022 0.115 0.091 0.118
 County unemployment (%) 0.113 0.022 *** 0.470 0.117 ***
 90+-day loan delinquencies (%) 0.254 0.077 *** 1.184 0.473 **
 County poverty, ages 5 to 17 (%) 0.014 0.013 0.292 0.134 **
Individual-level predictors (N = 313 key leaders, df = 293)
 Referred leaders -0.017 0.080 -0.019 0.080
 Female 0.309 0.083 *** 0.305 0.083 ***
 MA degree or higher -0.009 0.081 -0.004 0.081
 Age -0.001 0.004 -0.001 0.004
 Years in community 0.000 0.000 0.000 0.000
 Employment sector:
  Business -0.435 0.106 *** -0.428 0.106 ***
  Churches 0.178 0.117 0.172 0.117
  Civic -0.309 0.105 *** -0.312 0.105 ***
  Community coalitions 0.159 0.130 0.161 0.130
  Human services 0.294 0.093 *** 0.296 0.093 ***
  Judiciary -0.051 0.103 -0.061 0.104
  Law enforcement 0.117 0.101 0.121 0.101
  Media -0.011 0.114 -0.006 0.114
  Recreation organizations 0.105 0.102 0.108 0.102
  Health care -0.066 0.103 -0.072 0.103
  Schools 0.019 0.102 0.022 0.107
Intercept 1.665 0.313 *** 1.692 0.330 ***
**

p < .05,

***

p < .001.