Table 1.

Point-Biserial Correlation Matrix for Independent Variables and Outcome Variables

Variable	3	4	5	6	7	8	9	10	11	12	13	14
1. Have had a testa	−.40**	.17*	.29**	.15*	.27**	.17*	.20*	−.08	.10	.38**	.32**	−.46**
2. Have had a test within 3 yearsa	−.23**	.19*	.12	.08	.09	−.08	.30**	.18*	.30**	.26**	.16*	−.40**
3. Age		−.60**	−.49**	−.47**	−.44**	−.15*	−.59**	.34**	.04	−.49**	−.28**	.64**
4. Marital status			.40**	.24**	−.23**	.18*	.50**	.18**	−.05	.27**	.18*	−.42**
5. Education				.27**	.41**	.23**	.42**	−.10	.04	.40**	.25**	−.38**
6. Employment					.49**	.31**	.46**	−.11	−.13	.26**	.06	−.33**
7. English-speaking ability						.56**	.52**	.033	.10	.43**	.18*	−.45**
8. Proportion of life spent in U.S.							.33**	.14*	.15*	.21**	.14	−.25**
9. Income								−.06	−.06	.46**	.16	−.47**
10. Routine care									.54**	−.09	.06	.14
11. Check-ups										.07	.08	−.05
12. Early detection method											.48**	−.51**
13. Perceived benefit												−.46**
14. Perceived barriers

Note: Variables that were not significantly correlated are not included in the table (e.g., general health, religion, years in the United States). Data between Variable 1 and Variable 2 cannot be computed, because at least one of the variables is constant.

^aOutcome variable.

^*p < .05.

^**p < .01. Two-tailed.