Table 3.
Hierarchical Logistic Regression for Variables Predicting SG after Session 5 and/or 6 (n=55)
Block 1 | Block 2 | |||||||
---|---|---|---|---|---|---|---|---|
|
||||||||
Variable | B | SEB | eB |
p-value for B |
B | SEB | eB |
p-value for B |
Negative emotion symptoms | −.007 | .016 | .993 | .66 | .065 | .037 | 1.07 | .08 |
Baseline SCQ-NA | −.005 | .012 | .995 | .67 | .043 | .025 | 1.04 | .09 |
Negative emotion symptoms by SCQ-NA interaction | -- | -- | -- | -- | −.002* | .001 | .998 | .04 |
Constant | −.25 | −2.69 | ||||||
χ2 | .28 | 5.19* | ||||||
df | 2 | 1 |
Note: SCQ-NA = Situational Confidence Questionnaire, Negative Affect subscale; Negative emotion symptoms = summed BDI-II and BAI (see methods section for details); eB = exponentiated B. Sudden Gain (SG) coded as 1 for yes, achieved SG after session 5 and/or 6 and 0 as no, did not achieve SG.
p < .05