TABLE 4.

Summary of binary logistic regression generalized linear mixed model analysis predicting responding to the devalued stimulus during the post-devaluation habit test in Experiment 2.

Variable	B	SE	t	p	Exp(B)
CTQ-SF	0.064	0.028	2.31	0.022	1.066
Distraction (no distraction vs. distraction)	0.112	0.315	0.36	0.723	1.119
STAI state	0.047	0.020	2.39	0.018	1.048
STAI trait	−0.033	0.026	−1.26	0.209	0.968
BDI-II	−0.003	0.026	−0.13	0.899	0.997
PSS	0.093	0.041	2.25	0.025	1.097
CTQ-SF × distraction	−0.016	0.035	−0.45	0.655	0.984
CTQ-SF × STAI state	−0.003	0.002	−1.47	0.143	0.997
CTQ-SF × STAI trait	−0.004	0.003	−1.18	0.240	0.996
CTQ-SF × BDI-II	−0.001	0.003	−0.23	0.817	0.999
CTQ-SF × PSS	0.000	0.005	0.07	0.946	1.000
Age	−0.004	0.103	−0.04	0.966	0.996
Gender (male vs. female)	−0.384	0.412	−0.93	0.352	0.681

Significant results (p < 0.05) shown in bold. For dichotomous predictors, the first term in parenthetical is the reference. CTQ-SF, Childhood Trauma Questionnaire – Short Form (Bernstein et al., 2003); STAI, State–Trait Anxiety Inventory (Spielberger, 1983); BDI-II, Beck Depression Inventory-II (Beck et al., 1996); PSS, Perceived Stress Scale (Cohen et al., 1983).