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Table 1 Minima, Maxima, Means, Standard Deviations and Intercorrelations for Outcome Measures and Centrality Measures ( N= 110)

From: Predicting sentencing outcomes with centrality measures

Variable Min. Max. M SD 2 3 4 5 6 7 8 9
Outcome Measures             
1 Verdict .00 1.00 .13 .33 .87** .28** .46** .44** .43** .49** .41** .31**
2 Year Sentence .00 15.00 .86 2.59 .26** .63** .68** .59** .58** .39** .45**
Predictor Variable             
3 Closeness Centrality .00 .00 .00 .00   .23* .20* .21* .24* .21* .13
4 Degree Centrality .11 218.00 6.87 23.07    .94** .99** .90** .42** .93**
5 Betweenness Centrality .00 4, 663.00 118.09 524.68     .93** .73** .23* .88**
6 Out-Degree Centrality .00 109.00 2.76 11.03      .86** .30** .96**
7 Eigenvector Centrality .00 1.00 .04 .13       .71** .80**
8 Authority Centrality .00 1.00 .04 .11        .14
9 Hub Centrality .00 1.00 .04 .11        
  1. *p < .01 level (2 − tailed).
  2. **p < .05 level (2 − tailed).