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. 2022 Oct 4;15(12):2296–2309. doi: 10.1002/aur.2828

TABLE 7.

Summary of logit mixed effects models for semantic fluency: Total accuracy, and accuracy for the animals, fruit and object category

Predictors Total accuracy Animals Fruit Object
Coefficient SE z p Value Coefficient SE z p Value Coefficient SE z p Value Coefficient SE z p Value
Intercept 23.38 0.57 40.39 <0.001 −8.47 7.13 −1.18 0.399 −3.52 5.49 −0.64 0.637 6.79 0.29 23.17 <0.001***
Group 2.02 0.57 3.50 <0.001*** −1.39 7.64 −0.18 0.910 2.07 5.59 0.37 0.800 1.93 0.32 1.31 0.046*
Age (in months) 0.49 0.14 3.47 0.003** 0.22 0.08 2.57 0.103 0.13 0.07 1.93 0.274 0.13 0.09 1.42 0.351
Sex −1.58 15.07 −0.10 0.996 −9.08 7.36 −1.23 0.989 11.21 6.36 1.76 0.116 −1.18 7.46 −0.16 0.999
VIQ 5.33 5.12 1.04 0.301 2.00 4.96 0.40 0.688 1.00 6.28 0.16 0.874 3.10 5.25 0.59 0.556
PIQ 6.00 8.74 0.68 0.494 2.33 4.63 0.43 0.667 1.90 1.83 1.03 0.305 1.21 1.76 0.69 0.493

Note: SE, standard error; VIQ, verbal IQ; PIQ, performance IQ; Group levels: typically‐developing versus autism; Reference level for Group: autism.

*

p < 0.05;

**

p < 0.01;

***

p < 0.001.