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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 7.

Regression Models Predicting 2009 Implementation of Science-Based Prevention from Economic Variables

Indicator: County Unemployment Rate (%)
Students Qualifying for Free Lunch (%)
Community Economic Problems
2009 Level Annual Change – Post Downturn 2009 Level Annual Change – Post Downturn 2009 Level

Predictor a B SD B SD B SD B SD B SD
CTC Communities (N = 11, df = 8)
 Intercept 13.05 0.56 *** 13.01 0.54 *** 12.78 0.69 *** 12.96 0.56 *** 12.56 0.65 ***
 Implementation level in 2007 0.60 0.70 0.33 0.67 0.41 0.79 0.20 0.72 0.51 0.81
 Economic indicator -.61 0.20 * -2.82 0.95 * -0.07 0.05 -5.42 2.06 * -2.62 1.37 +
R2 .51 .54 .21 .48 .33
Control Communities (N = 14, df = 11)
 Intercept 7.11 1.16 *** 7.10 1.16 *** 6.98 1.15 *** 6.95 1.15 *** 7.00 1.18 ***
 Implementation level in 2007 0.78 0.34 * 0.81 0.35 * 0.75 0.35 * 0.83 0.35 * 0.77 0.35 *
 Economic indicator 0.36 0.48 1.80 2.51 0.05 0.08 -2.37 3.08 -0.01 2.55
R2 .34 .34 .33 .34 .31
a

Implementation scores are centered around the mean within coalition type. Economic indicators are centered around the overall mean across all coalitions.