Table 12.

Multiple linear regression model summarizing the relationships between age, gender, and education levels as predictors of 4-items AIAS total score for Study 2.

Predictor	Estimate	SE	t	p
Intercepta	7.1230	0.37587	18.9504	< 0.001
Age	−0.0100	0.00793	−1.2636	0.207
Gender
Female–Male	−0.8601	0.23887	−3.6008	< 0.001
Education
HS – U	0.0373	0.78748	0.0473	0.962
MS– U	−0.2759	0.24057	−1.1467	0.252
ES – U	−2.3997	2.16407	−1.1089	0.268

ᵃRepresents reference level. U, University; HS, High School; MS, Middle School; ES, Elementary School.