Table 7.

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

	Predictor	Estimate	SE	p
Interceptᵃ	6.21712	0.41659	14.924	< 0.001
Age	−0.00872	0.00879	−0.992	0.322
Gender
Female–Male	−0.78393	0.25834	−3.035	0.003
Education
HS—U	0.11284	0.26564	0.425	0.671
MS—U	−1.86291	1.37828	−1.352	0.178
ES—U	0.80761	1.38322	0.584	0.560

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