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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)