Table 4.
Model 2 [Block 1 + Block 2]: hierarchical linear regression with GPIUS2 score as dependent variable and age, gender, cognitive avoidance, vigilance, and dummy-coded SNS as potential predictors.
| Variable | B | SE of B | Beta | P | CI |
|---|---|---|---|---|---|
| Age a | −.332 | .038 | −.337 | <.001 | [−.046; −.032] |
| Gender a | −.387 | .087 | −.178 | <.001 | [−.558; −.225] |
| CAV-E | −.073 | .041 | −.074 | .075 | [−.159; .015] |
| VIG-E | .096 | .048 | .097 | .045 | [−.011; .195] |
| VIG-P a | .109 | .046 | .111 | .017 | [.014; .194] |
| SNS (1) | −.525 | .439 | −.114 | .231 | [−1.217; .213] |
| SNS (2–5) a | −.833 | .406 | −.409 | .041 | [−1.351; −.271] |
| SNS (6–9) a | −1.039 | .410 | −.454 | .012 | [−1.590; −.444] |
| SNS (10 or more) a | −.970 | .426 | −.255 | .023 | [−1.526; −.398] |
All predictors except gender in z-standardized form; gender coded: 1 = male, 2 = female; asignificant after bootstrapping analysis; number of people in the social network in parentheses. Significant predictors are presented in bold letters.