Table 2.

Hierarchical Linear Model of Daily Affect Regressed on Negative Interpretation Bias From the WSAP Task

Predictor	B	SE	t	p
Main effects
Valence	8.93	0.66	13.60	<.001***
Negative interpretation bias	0.65	0.20	3.25	.002**
Negative word RT bias	−0.006	0.006	−1.06	.295
Interaction effects
Valence × negative interpretation bias	−0.39	0.10	−3.75	<.001***
Valence × negative word RT bias	−0.002	0.003	−0.70	.487
Simple slopes for interactions
NA ~ negative interpretation bias	0.65	0.20	3.25	.002**
PA ~ negative interpretation bias	0.25	0.20	1.27	.208
NA ~ negative word RT bias	−0.006	0.006	−1.06	.295
PA ~ negative word RT bias	−0.008	0.006	−1.41	.161

Note. Model included 3,328 observations across 69 participants. NA = negative affect; PA = positive affect; RT = reaction time; WSAP = word sentence association paradigm. Valence is coded with NA = 0 and PA = 1. PA scores were also reversed scored so that larger values reflect less PA. This was done so that negative interpretation bias effects would be positive for both positive and negative affect and interaction terms could compared the magnitude of the linear relationships between positive and negative affect. Main effects are interpreted when valence = 0 (for negative affect specifically).

^**p < .01.

^***p < .001.