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Table 3 Models with RME as dependent variable and results of dominance analysis 

From: Autism traits outweigh alexithymia traits in the explanation of mentalising performance in adults with autism but not in adults with rejected autism diagnosis

Predictors

ASD+

ASD -

B

SEadj

GDW

LL, UL

B

SEadj

GDW

LL, UL

Age

.002

.026

.002

.001, .029

− .044

.039

.025

.002, .117

Sex

.996

.662

.013

.001, .063

1.95*

.863

.054

.004, .197

PIQ

.017

.018

.005

.001, .025

.005

.030

.003

.001, .044

VIQ

.029

.018

.008

.001, .024

.025

.036

.011

.002, .075

AQ

− .271***

.060

.088

.035, .149

− .149

.082

.059

.015, .152

DIF

− .049

.053

.014

.003, .045

− .055

.078

.021

.005, .090

DDF

.170*

.081

.007

.003, .026

− .010

.102

.015

.005, .063

EOT

− .057

.051

.004

.000, .029

− .151*

.066

.032

.006, .089

R2

  

.142

   

.220

 
  1. PIQ = Performance-based IQ; VIQ = Verbal IQ; AQ = Autism Spectrum Quotient; DIF = TAS-20 subscale Difficulties Identifying Feelings; DDF = TAS-20 subscale Difficulties Describing Feelings; EOT = TAS-20 subscale Externally-Oriented Thinking
  2. Regression model estimates with results of dominance analysis in ASD+ (N = 281) and ASD− (N = 119) samples. Lower limits (LL) and upper limits (UL) of bootstrapped confidence intervals for General Dominance Weights (GDW)
  3. Results of t-tests of coefficients (B) after adjustment of errors (SEadj) by robust regression are reported by asterisks
  4. *p < .05; **p < .01; ***p < .001
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Molecular Autism

ISSN: 2040-2392