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Table 3 Regression coefficients for AQ predictor

From: Initial evidence that non-clinical autistic traits are associated with lower income

Dependent variable Study Control variables B AQ 95% CI p R 2 adj R 2 change
Net household income 1 Age, gender, education − 0.186 [− 0.300, − 0.071] .002 .099 .050
2 Age, gender, education − 0.121 [− 0.197, − 0.044] .002 .095 .025
3 Age, gender, education, employment − 0.068 [− 0.149, 0.014] .103 .150 .006
4 Age, gender, education, employment − 0.139 [− 0.189, − 0.089] < .001 .148 .026
5 Age, gender, ethnicity, socially desirable responding − 0.115 [− 0.185, − 0.044] .001 .022 .017
Adjusted household income 3 Age, gender, education, employment − 0.058 [− 0.132, 0.016] .127 .197 .005
4 Age, gender, education, employment − 0.098 [− 0.138, − 0.058] < .001 .254 .018
5 Age, gender, ethnicity, socially desirable responding − 0.092 [− 0.154, − 0.030] .004 .049 .014
Personal income 4 Age, gender, education, employment − 0.105 [− 0.159, − 0.052] < .001 .395 .009
5 Age, gender, ethnicity, socially desirable responding − 0.141 [− 0.228, − 0.055] .001 .084 .016
Others’ income 4 Age, gender, education, employment − 0.120 [− 0.215, − 0.024] .015 .042 .008
5 Age, gender, ethnicity, socially desirable responding − 0.086 [− 0.200, 0.027] .137 .010 .005
SSS 3 Age, gender, education, employment, adjusted household income − 0.191 [− 0.334, − 0.048] .009 .275 .013
4 Age, gender, education, employment, adjusted household income − 0.222 [− 0.312, − 0.132] < .001 .376 .015
  1. All regression entered AQ and the control variables simultaneously. Continuous predictors were standardized
  2. SSS subjective socioeconomic status, R 2 adj adjusted R-squared for the regression model, R 2 change difference in (unadjusted) R 2 between models that do/do not include AQ as a predictor (i.e. the proportion of variance accounted for by AQ, after controlling for other variables)