Table 8.
|
Dependent variable in model |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Independent variables3 |
Well-being1 |
Symptoms |
Functioning |
Risk |
Non-risk |
All items |
||||||
β2 | p< | β | p< | β | p< | β | p | β | p | β | p | |
Gender |
0.08 |
.001 |
0.02 |
n.s. |
−0.02 |
n.s. |
−0.14 |
.0001 |
0.02 |
n.s. |
0.00 |
n.s. |
(Male=0, female=1) |
|
|
|
|
|
|
|
|
|
|
|
|
Age |
−0.04 |
n.s. |
0.00 |
n.s. |
−0.06 |
.05 |
−0.11 |
.0001 |
−0.30 |
n.s. |
−0.04 |
n.s. |
Patient status |
0.69 |
.0001 |
0.73 |
.0001 |
0.65 |
.0001 |
0.46 |
.0001 |
0.73 |
.0001 |
0.72 |
.0001 |
(Non-clinical=0, Clinical=1) |
1 Model fit statistics (ANOVA) with df=3 for all models: Well-being: F=279.1, p<.0001; Symptoms/ Problems: F=363.7, p<.0001; Functioning: F=232.3, p<.0001; Risk: F= 98.6, p<.0001; Non-risk: F= 352.1, p<.0001; All items: F= 338.0, p<.0001.
2 β Standarized Beta of independent variables.
3 Variables entered stepwise in order: Gender + Age+ Patient status.