Table 1.

Regression Parameter Estimates

Term	Constant Prevalence Hypothesis (n = 2,566)						Increasing Acknowledgment Hypothesis (n = 596)
	b	SE	Lower CI	Upper CI	OR		b	SE	Lower CI	Upper CI
Intercept	−0.727	0.186	−1.097	−0.367	0.483		0.829	0.396	0.070	1.597
Male (vs. female)	−1.562	0.150	−1.857	−1.272	0.210		−0.661	0.283	−1.222	−0.115
LGBTQ (vs. cisgender/heterosexual)	0.635	0.155	0.329	0.938	1.887		0.895	0.235	0.411	1.333
Racial/ethnic minority (vs. White)	−0.308	0.117	−0.535	−0.078	0.735		−0.183	0.193	−0.570	0.185
Verbal coercion							0.244	0.114	0.018	0.464
Incapacitation due to substances							0.533	0.088	0.361	0.707
Threatened or actual force							1.171	0.126	0.925	1.413
History of consent with perpetrator							−0.684	0.167	−1.005	−0.356
Study week	0.002	0.015	−0.027	0.032	1.002		−0.036	0.025	−0.085	0.013
Study week SQ	< 0.001	< 0.001	−0.001	< 0.001	1.000		−0.001	< 0.001	−0.002	< 0.001
Post #MeToo	−0.274	0.250	−0.771	0.205	0.760		0.403	0.401	−0.393	1.175
Post #MeToo X Study week	0.001	0.019	−0.035	0.039	1.001		0.035	0.031	−0.028	0.095
Post #MeToo X Study week SQ	< 0.001	< 0.001	< 0.001	0.001	1.000		0.001	< 0.001	< 0.001	0.002

Note. Values are derived from the entire posterior probability distribution for the model. Thus, b = mean of all slopes for that term in the Markov Chain Monte Carlo chain, SE = standard error of slopes for a term, CI = credibility interval (i.e., the region defining 95% of the posterior probability distribution), and OR = the mean odds ratio for each term. SQ = squared.