. Author manuscript; available in PMC: 2020 Dec 1.

Published in final edited form as: J Pers Soc Psychol. 2019 Dec;117(6):1127–1138. doi: 10.1037/pspi0000156

Table 6.

Social Relations Modeling of Offering a Second Date.

		MLM model in SPSS treating date offer as continuous variable				MLM model in R fitted to binary outcome
	Variance component or covariance	Unstandardized estimate	SE	p	Standardized estimate	Unstandardized estimate	Standardized estimate
Male
	Actor variance	0.062	0.014	< .001	0.25	2.53	.35
	Partner variance	0.030	0.008	< .001	0.12	1.30	.18
	Relationship + Error variance	0.157	0.008	< .001	0.63	3.29¹	.46
	Actor-Partner covariance	−0.413	0.146	0.005	−0.41		−.39
Female
	Actor variance	0.051	0.012	< .001	0.22	2.49	.36
	Partner variance	0.030	0.008	< .001	0.13	1.21	.17
	Relationship + Error variance	0.154	0.007	< .001	0.66	3.29¹	.47
	Actor-Partner covariance	−0.374	0.154	0.02	−0.37		−.36
Both
	Relationship covariance	0.074	0.034	0.03	0.07		.06²

Note.

The error variance in logistic regression is fixed to π²/3. “It assumes the error variance is the same for men and women, and it is not. (The error variance is for those at the intercept which is no one!)” (Kenny, 2017).

We used the residual scores from glmer function in lme4 in R to calculate this correlation. When we dropped participants who offered either no dates or dates to everyone, and those who received no dates, this correlation was .08, p = .03 (n = 676 dyads).