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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