. Author manuscript; available in PMC: 2024 Mar 1.

Published in final edited form as: Res Autism Spectr Disord. 2022 Dec 26;101:102092. doi: 10.1016/j.rasd.2022.102092

Table 5.

Regressions Predicting the Total Number of Evaluative Devices and Self-Repairs

	Evaluative Devices					Self-Repairs
	B	SE B	β	Semi-partial	Semi-partial squared	B	SE B	β	Semi-partial	Semi-partial squared
Propositions	.503	.072	.714^***	.657	.431	.329	.056	.629^***	.579	.335
Age	−.021	.040	−.059	−.051	.003	−.051	.031	−.192	−.165	.027
BRIEF Inhibit T-score	.101	.068	.168	.141	.020	.149	.053	.330^**	.278	.077
BRIEF Working Memory T-score	−.015	.068	−.023	−.021	.000	.010	.053	.020	.019	.000
CMS Numbers Backward Raw Score	−.277	.341	−.081	−.077	.006	−.248	.265	−.097	−.093	.009
R², F, p	R² =.51; F=28.0, p<.001					R² =.39; F=17.2, p<.001
R² change (EF variables added)	R² =.03; F=1.15, p=.34					R² =.11; F=3.78, p=.02

^**

p < .01;

^***

p < .001