Table 3.
Correlational analyses
| 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 |
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)