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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).