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Table 5 Model summaries of several logistic regression analyses predicting autistic status using the CATI, AQ and BAPQ, and standardised coefficients for each model’s predictors

From: The Comprehensive Autistic Trait Inventory (CATI): development and validation of a new measure of autistic traits in the general population

 

β

Wald test

Odds ratio

95% CI for odds ratio

Wald

p

Lower

Upper

CATI: df = 6, χ2 = 332.95, p < .001, Nagelkerke’s pseudo R2 = .482

 Constant

− 3.446

183.20

< .001

.000

.000

.000

 Social interactions

.390

5.70

.017

1.049

1.009

1.090

 Sensory sensitivity

.371

5.90

.015

1.056

1.011

1.103

 Repetitive behaviour

.435

6.83

.009

1.065

1.016

1.116

 Communication

.915

46.92

< .001

1.179

1.125

1.236

 Cognitive rigidity

.340

4.09

.043

1.062

1.002

1.126

 Social camouflage

.339

4.23

.040

1.053

1.002

1.106

AQ: df = 5, χ2 = 305.84, p < .001, Nagelkerke’s pseudo R2 = .447

 Constant

− 3.223

166.03

< .001

.000

.000

.000

 Social skill

.305

2.97

.085

1.049

.993

1.108

 Attention switching

.666

16.28

< .001

1.142

1.071

1.218

 Attention to detail

.290

6.47

.011

1.059

1.013

1.107

 Communication

1.054

32.01

< .001

1.216

1.136

1.301

 Imagination

.053

.20

.655

1.011

.963

1.062

BAPQ: df = 3, χ2 = 253.46, p < .001, Nagelkerke’s pseudo R2 = .378

 Constant

− 2.990

212.35

< .001

.000

.000

.000

 Aloof personality

.127

.72

.396

1.010

.987

1.035

 Pragmatic language

1.038

57.02

< .001

1.116

1.085

1.148

 Rigidity

.771

28.65

< .001

1.079

1.049

1.109