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Table 12. Life stressor meta-analysis results using random-effects and RVE models.
Measure Random-Effects Model RVE ⍴ = .8 RVE ⍴ = 0 RVE ⍴ = .2 RVE ⍴ = .4 RVE ⍴ = .6 RVE ⍴ = 1 
0.366 0.32 0.32 0.32 0.32 0.32 0.32 
95% CI [0.307, 0.423] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] 
z-value 11.303       
t-value  12.99 12.991 12.991 12.991 12.991 12.99 
tau-squared 0.068 0.032 0.032 0.032 0.032 0.032 0.032 
Q-stat 701.855       
I-squared 93.52 87.031 86.966 86.983 86.999 87.015 87.047 
Index of Dispersion [-0.13, 0.716]       
Measure Random-Effects Model RVE ⍴ = .8 RVE ⍴ = 0 RVE ⍴ = .2 RVE ⍴ = .4 RVE ⍴ = .6 RVE ⍴ = 1 
0.366 0.32 0.32 0.32 0.32 0.32 0.32 
95% CI [0.307, 0.423] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] [0.273, 0.365] 
z-value 11.303       
t-value  12.99 12.991 12.991 12.991 12.991 12.99 
tau-squared 0.068 0.032 0.032 0.032 0.032 0.032 0.032 
Q-stat 701.855       
I-squared 93.52 87.031 86.966 86.983 86.999 87.015 87.047 
Index of Dispersion [-0.13, 0.716]       

Note: Robust variance estimation (RVE) model at ⍴ = .8 is the weight used in all RVE models.

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