TABLE 4.

Hierarchical regression analysis predicting positive relationships.

Predictors	ΔR2	ß	t	CI (95%)
Step 1: Demographics	0.01
Age		–0.09	–1.63	[−0.20, 0.02]
Gender		–0.04	–0.66	[−0.26, 0.13]
Marital status		0.05	0.86	[−0.13, 0.34]
Step 2: Objective SES measures	0.06***
Age		–0.06	–1.04	[−0.16, 0.05]
Gender		–0.05	–1.03	[−0.29, 0.09]
Marital status		0.05	0.97	[−0.12, 0.36]
Income		0.12*	2.02	[0.00, 0.23]
Education		0.20**	3.41	[0.08, 0.31]
Occupation		–0.04	–0.58	[−0.15, 0.08]
Step 3: MacArthur SSS scale	0.02*
Age		–0.07	–1.24	[−0.18, 0.04]
Gender		–0.06	–1.18	[−0.30, 0.08]
Marital status		0.06	1.04	[−0.11, 0.36]
Income		0.09	1.47	[−0.03, 0.20]
Education		0.19**	3.37	[0.08, 0.31]
Occupation		–0.05	–0.85	[−0.17, 0.07]
MacArthur SSS scale		0.13*	2.38	[0.02, 0.24]
Step 4: New social ladders	0.02
Age		–0.06	–1.03	[−0.17, 0.05]
Gender		–0.07	–1.34	[−0.32, 0.06]
Marital status		0.05	0.98	[−0.12, 0.36]
Income		0.07	1.25	[−0.04, 0.19]
Education		0.14*	2.08	[0.01, 0.27]
Occupation		–0.08	–1.22	[−0.20, 0.05]
MacArthur SSS scale		0.05	0.76	[−0.09, 0.19]
Income ladder		0.00	0.03	[−0.14, 0.14]
Education ladder		0.13*	2.01	[0.00, 0.26]
Occupation ladder		0.08	1.13	[−0.06, 0.22]

N = 368; SES, Socioeconomic Status; SSS, Subjective Socioeconomic Status; Gender (1 = females, 2 = males); Marital Status (1 = involved in a romantic relationship, 2 = non-involved in a relationship). Standardized regression coefficients are reported. All VIFs ≤ 1.96. *p < 0.05, **p < 0.01, ***p < 0.001.