Table 3.
Regression Analyses Predicting Facial Affect Recognition From PCL:SV Part 1 and Part 2 Scores
| Variable | B | SE-B | β | R2 Total |
|---|---|---|---|---|
| Total Faces | .020 | |||
| PCL:SV Part 1 | −.311 | .302 | −.098 | |
| PCL:SV Part 2 | −.239 | .346 | −.069 | |
| Happy Faces | .027 | |||
| PCL:SV Part 1 | −.072 | .086 | −079 | |
| PCL:SV Part 2 | −.115 | .098 | −.110 | |
| Sad Faces | .028 | |||
| PCL:SV Part 1 | −.096 | .094 | −.097 | |
| PCL:SV Part 2 | −.111 | .108 | −.097 | |
| Anger Faces | .010 | |||
| PCL:SV Part 1 | −.100 | .086 | −.111 | |
| PCL:SV Part 2 | .031 | .099 | .029 | |
| Fear Faces | .008 | |||
| PCL:SV Part 1 | −.088 | .103 | −.082 | |
| PCL:SV Part 2 | .115 | .118 | .093 | |
| Shame Faces | .015 | |||
| PCL:SV Part 1 | .045 | .094 | .046 | |
| PCL:SV Part 2 | −.159 | .108 | −.140 |
Note. N = 145.
p <.05.