Skip to main content

Table 5 Correlational analyses between self-bias magnitudes and AQ-10, SRS-A and SCS-R scores

From: A comparison of self-bias measures across cognitive domains

Variable

Statistics

Bias (TA)

Bias (SLM)

Bias (VS)

AQ-10

SRS-A

SCS-R

Bias (TA)

r

–

     

p

–

     

BF10

–

     

Bias (SLM)

r

0.046

–

    

p

0.649

–

    

BF10

0.206

–

    

Bias (VS)

r

− 0.287

0.218

–

   

p

0.004**

0.030*

–

   

BF10

10.163*

1.822

–

   

AQ-10

Ï„b

0.091

0.074

0.018

–

  

p

0.217

0.309

0.805

–

  

BF10

0.458

0.345

0.201

–

  

SRS-A

Ï„b

0.038

− 0.048

0.074

0.340

–

 

p

0.586

0.487

0.282

 < .001***

–

 

BF10

0.226

0.247

0.345

31,469.77***

–

 

SCS-R

r

0.141

0.129

− 0.080

–

–

–

Ï„b

–

–

–

0.144

0.208

–

p

0.164

0.204

0.429

0.053

0.003**

–

BF10

0.326

0.278

0.171

1.174

13.231*

–

  1. Self-bias magnitude in trait adjectives task = ‘Bias (TA)’; self-bias magnitude in shape-label matching task = ‘Bias (SLM)’; self-bias magnitude in visual search task = ‘Bias (VS)’. Pearson’s r (r), p-values (p), Kendall’s tau (τb) and Bayes Factor (BF10; stretched beta prior width = 0.5) are reported
  2. *p < .05; **p < .01; ***p < .001; *BF10 > 10; **BF10 > 30; ***BF10 > 100