Table 1.
Descriptive Information for Traditional Analytic Measures and SNA Measures of Diffusion Potential
Traditional Analytic Measures | ||||||||
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Pretest (N = 42 networks)
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Posttest (N = 40 networks)a
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Mean | SD | Min | Max | Mean | SD | Min | Max | |
Participation Rate | 0.14 | 0.09 | 0.05 | 0.46 | 0.15 | 0.10 | 0.04 | 0.53 |
Representativeness | ||||||||
Demographic Representativeness | ||||||||
Genderb | −0.02 | 0.20 | −0.47 | 0.42 | −0.02 | 0.20 | −0.50 | 0.46 |
Free Lunchb | −0.05 | 0.20 | −0.42 | 0.44 | −0.05 | 0.19 | −0.71 | 0.41 |
Behavioral Representativeness | ||||||||
Gradesc | 0.05 | 0.30 | −0.58 | 0.86 | 0.04 | 0.57 | −2.58 | 1.03 |
Delinquencyc | −0.03 | 0.42 | −0.83 | 0.99 | 0.00 | 0.49 | −1.08 | 1.30 |
Substance Use Attitudesc | 0.03 | 0.33 | −1.06 | 0.59 | 0.00 | 0.41 | −1.06 | 0.72 |
SNA Measures | ||||||||
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| ||||||||
Pretest (N = 42 networks)
|
Posttest (N = 40 networks)a
|
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Mean | SD | Min | Max | Mean | SD | Min | Max | |
Social Integration | ||||||||
Connectivity | ||||||||
Structural Cohesion | 2.51 | 0.67 | 1.23 | 3.96 | 2.82 | 0.68 | 1.35 | 4.06 |
Social Distance | 4.49 | 1.39 | 1.80 | 9.05 | 4.30 | 1.15 | 1.85 | 6.85 |
Clustering | ||||||||
Segregation Index | 0.70 | 0.07 | 0.56 | 0.95 | 0.70 | 0.10 | 0.57 | 0.96 |
Transitivity Ratio | 0.34 | 0.09 | 0.21 | 0.60 | 0.34 | 0.08 | 0.20 | 0.57 |
Hierarchy | ||||||||
Indegree Centralization | 0.08 | 0.04 | 0.02 | 0.16 | 0.09 | 0.04 | 0.02 | 0.20 |
Betweenness Centralization | 0.10 | 0.05 | 0.02 | 0.20 | 0.10 | 0.04 | 0.02 | 0.23 |
Location of the Intervention Participants in the Network | ||||||||
Distribution of Participants in the Network | ||||||||
Prop. of Groups with 1+ Part. | 0.65 | 0.24 | 0.09 | 1.00 | 0.67 | 0.25 | 0.00 | 1.00 |
Prop. within 2 Steps of a Part. | 0.48 | 0.19 | 0.07 | 0.89 | 0.54 | 0.19 | 0.08 | 0.88 |
Participants’ Relative Status | ||||||||
Indegreec | −0.07 | 0.41 | −0.94 | 0.89 | −0.01 | 0.34 | −0.69 | 0.71 |
Betweennessc | 0.11 | 0.47 | −0.80 | 1.72 | 0.15 | 0.42 | −0.88 | 1.00 |
Note. Prop = Proportion; Part = Intervention participant.
The posttest sample size was 40 networks, because two networks did not administer a posttest survey. The measures that relied on student survey data (i.e., free lunch status, grades, delinquency, substance use attitudes) had n = 39 at posttest because one network did not have any survey data from SFP10-14 participants in that network at that assessment.
Measure scored as the difference in proportions between participants and non-participants. Positive values indicate that participants were higher than non-participants on that measure.
Measure scored as the Cohen’s D effect size between participants and non-participants. Positive values indicate that participants were higher than non-participants on that measure.