TABLE 9.

Results of the hierarchical multiple regression for Model 2b using LD and MI.

		b		SE		β	t		p		ΔR2	df	ΔF	p
Step		LD	MI	LD	MI	LD	LD	MI	LD	MI	LD	LD	LD	LD
1											0.01	2, 69	0.23	0.794
	ES	0.01	−0.07	0.10	0.10	0.02	0.14	−0.65	0.892	0.517
	ER-IAT	0.16	0.06	0.25	0.24	0.08	0.65	0.25	0.517	0.803
2											0.07	1, 68	4.90	0.030
	ES	0.04	−0.06	0.10	0.10	0.04	0.34	−0.60	0.732	0.550
	ER-IAT	0.03	0.01	0.25	0.25	0.01	0.12	0.05	0.909	0.963
	ES*ER-IAT	−0.51	−0.20	0.23	0.21	−0.27	−2.21	−0.92	0.030	0.357
3											0.08	2, 66	3.30	0.043
	ES	0.04	−0.03	0.10	0.11	0.05	0.41	−0.29	0.680	0.770
	ER-IAT	0.09	0.07	0.25	0.24	0.04	0.35	0.29	0.731	0.775
	ES*ER-IAT	−0.44	−0.20	0.23	0.20	−0.23	−1.95	−0.98	0.055	0.326
	Agency	−2.36	−3.01	0.93	1.04	−0.29	−2.54	−2.89	0.014	0.005
	Communion	−0.30	−0.80	0.67	0.87	−0.05	−0.45	−0.92	0.653	0.369

Bold coefficients refer to results from the analyses using listwise deletion. Italic coefficients refer to results from using multiple imputation. Standardized coefficients and change statistics are not available when using multiple imputation. LD, listwise deletion; MI, multiple imputation; ES, expressive suppression; ER-IAT, Emotion Regulation-Implicit Association Test.