Table 6:

Logistic regression between educational attainment and service occupational class overall and by race/ethnicity

Model 1	OR	95% CI		p
Age Baseline	1.024	1.005	1.044	.013
Male	.270	.232	.315	<.001
Black	.345	.293	.406	<.001
Latino	1.441	1.110	1.872	.006
Education (Ref = Some High School)				<.001
2.GED	12.698	8.873	18.171	<.001
3.High-school graduate	9.391	6.082	14.500	<.001
4.Some college	7.062	4.961	10.053	<.001
5.College and above	3.498	2.388	5.123	<.001
Model 2
Age Baseline	1.025	1.006	1.045	.010
Male	.268	.230	.312	<.001
Black	.623	.266	1.458	.275
Latino	.000	.000	.	.998
Education (Ref = Some High School)				<.001
2.GED	19.117	8.658	42.208	<.001
3.High-school graduate	16.816	6.381	44.314	<.001
4.Some college	12.571	5.644	28.000	<.001
5.College and above	4.099	1.744	9.633	.001
Education x Race				.168
2.GED x Black	.568	.233	1.384	.213
3.High-school graduate x Black	.502	.170	1.488	.214
4.Some college x Black	.447	.183	1.091	.077
5.College and above x Black	.765	.294	1.990	.583
Education x Ethnicity				.289
2.GED x Latino	NA
3.High-school graduate x Latino	NA
4.Some college x Latino	NA
5.College and above x Latino	NA

As shown by Table 7, there was a positive association between educational attainment and operator occupational class, meaning that highly educated people were more likely to work in operator occupational class. No interaction was found for Latino ethnicity or Black race.