Table 4.

Latent Social Relations Modeling of Questions Asking Based on Number of Switch Questions and Percent of Conversation Turns Containing Switch Questions (Multiplied by 50).

Gender	Variance component or covariance	Unstandardized estimate	SE	p	Standardized estimate	Standardized estimate equal-groups subsample1
Male
	Actor variance	1.01	0.22	< .001	.29	.32
	Partner variance	0.58	0.16	< .001	.16	.12
	Relationship variance	1.23	0.07	< .001	.35	.38
	Error variance	0.73			.20	.18
	Actor-Partner covariance	−0.45	0.13	= .001	−.60	−.63
Female
	Actor variance	0.86	0.20	< .001	.28	.30
	Partner variance	0.55	0.13	< .001	.18	.18
	Relationship variance	1.19	0.06	< .001	.38	.40
	Error variance	0.49			.16	.12
	Actor-Partner covariance	−0.44	0.14	= .002	−.62	−.67
Both
	Relationship covariance	−0.28	0.05	< .001	−.23	−.23

Note.

¹The original model did not converge with MLM. Therefore, we multiplied turns containing switch questions by 45 (to match the variances more accurately) and normalized both indicators with square root transformation (A Box-Cox transformation test suggested that a power of −0.46 would best normalize these data, and we used a power of −0.50, a square root transformation, which is pretty close to this value).