Table 3.

Relations Between PROMIS Global–10 General QoL Trait Scores and Other Clinical and Demographic Variables

Predictor	Effect Size [95% CrI]	ROPE	BF ROPE	P(ROPE|Data)
SSS-8 Total Score	r = −0.543 [−0.590, −0.495]	[−0.1, 0.1]	>1 × 1010	<0.001
PROMIS-ED Mean Score	r = −0.617 [−0.657, −0.574]	[−0.1, 0.1]	>1 × 1010	<0.001
Age	r = −0.045 [−0.110, 0.024]	[−0.1, 0.1]	0.010	0.906
Age of Autism Diagnosis (Continuous)	r = −0.089 [−0.158, −0.024]	[−0.1, 0.1]	0.106	0.619
Number of Additional Psychiatric Diagnoses	rpoly =−0.354 [−0.410, −0.297]	[−0.1, 0.1]	3.75 × 108	<0.001
Education	rpoly = 0.097 [0.360, 0.481]	[−0.1, 0.1]	0.082	0.536
Sex	d = −0.314 [−0.452, −0.169]	[−0.2, 0.2]	5.93	0.061
Race/Ethnicity (Non-Hispanic White vs. Other)	d = 0.111 [−0.058, 0.275]	[−0.2, 0.2]	0.065	0.852
Autism Diagnosis (<18 vs. ≥18 Years)	d = 0.277 [0.138, 0.418]	[−0.2, 0.2]	2.38	0.137
Autism Diagnosis (<4 vs. ≥4 Years)	d = 0.555 [0.281, 0.820]	[−0.2, 0.2]	63.8	0.006
Sexual Minority Status	d = −0.332 [−0.484, −0.181]	[−0.2, 0.2]	6.79	0.043
Gender Minority Status	d = −0.426 [−0.616, −0.221]	[−0.2, 0.2]	23.6	0.013
Received Special Education (Y/N)	d = 0.266 [0.129, 0.382]	[−0.2, 0.2]	1.78	0.175

Note. Bayes factors indicating substantial evidence against the interval null hypothesis (i.e., d lies within [−0.2, 0.2] or r lies within [−0.1, 0.1]) are presented in bold, whereas Bayes factors indicating substantial evidence for the interval null hypothesis are presented in italics. Effect sizes are estimated using Bayesian methods and are presented along with 95% highest density credible intervals (CrI). BF_ROPE = Bayes factor assessing interval null hypothesis that the effect falls within the region of practical equivalence (ROPE); P(ROPE|Data) = proportion of the d/r posterior distribution falling within the ROPE, conditioned on the observed data (i.e., probability that the interval null hypothesis is true).