Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as well as to allow video information to be shared for both marketing, analytics and editorial purposes.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

You are viewing the site in preview mode

Skip to main content
BMC is moving to Springer Nature Link. Visit this journal in its new home.

Table 3 Correlational analyses

From: Quantifying compensatory strategies in adults with and without diagnosed autism

 

1

2

3

4

5

Overall compensation (1)

–

.73***

.59***

.55***

.57***

Shallow compensation (2)

 

–

.13

.16

.28**

Deep compensation (3)

  

–

.13

.18

Masking (4)

   

–

.15

Accommodation (5)

    

–

Autistic traits

.26**

.41***

.01

.07

.05

Highest education level

.22*

.25**

.02

.09

.18*

Sex (1 = female, 0 = male)a

− .04

− .11

.03

.07

− .10

Diagnosis (1 = diagnosed, 0 = non-diagnosed)a

.21*

.30**

.13

− .03

.03

Age at diagnosisb

.11

.04

− .08

.19

.22

  1. Highest education level was used as a proxy IQ measure. Greater scores reflect higher education level/greater autistic traits/more self-reported strategies. Analyses were computed using both raw and standardised strategy scores (see the “Methods” section). A similar pattern of results was found; therefore, analyses using raw scores are reported (see Additional file 1 for analyses using standardised scores). *p < .05, **p < .01, ***p < .001. aPoint-biserial correlations. bDiagnosed group only (n = 58)
Back to article page

Molecular Autism

ISSN: 2040-2392