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. 2015 Apr 20;17(4):e99. doi: 10.2196/jmir.3558

Table 6.

Descriptive statistics and correlations among constructs using machine learning (N=58,357 discussion threads).

Variablea Mean (SD) 1 2 3 4 5 6
1. Positive emotional disclosure 1.27 (0.26) 1




2. Negative emotional disclosure 2.29 (1.08) .19 1



3. Positive informational disclosure 1.67 (0.41) .83 .14 1


4. Negative informational disclosure 3.69 (1.26) –.05 .67 .04 1

5. Question 5.26 (1.29) –.53 .16 –.48 .50 1
6. Provide emotional support 2.64 (1.06) .24 .23 .24 .17 –.13 1
7. Provide informational support 2.95 (1.18) –.22 .08 –.20 .21 .36 –.16

a All variables were estimates from machine learning models predicting the amount a message contained the constructs in the first column, rated on a 7-point Likert scale where 1=not at all and 7=very much. The self-disclosure and question measures were based on the thread-starting message, whereas the measures of emotional and informational support were based on the first reply received in the thread.