Table 3.

Hierarchical regression analyses predicting perceived effectiveness and cancer screening decision satisfaction

	Perceived effectiveness			Cancer screening decision satisfaction
	B	SE	R 2	B	SE	R 2
1. Demographics			.052**			.009
Age	.005	.002*		.000	.003
Race/ethnicity	.028	.028		.021	.040
Education	−.039	.026		−.024	.037
2. Visual variables			.110***			.032†
V-V LP	.005	.010		.009	.014
VisFunction	.007	.002**		.005	.003
3. Pamphlet	.003	.008	.121†	.003	.012	.034
4. Message variables			.272***			.064†
PMQ	.139	.059*		−.054	.082
PercInform	.008	.055		.087	.076
PercAttract	.112	.034**		.052	.047
5. PVI	.149	.039***	.309***	.135	.055*	.087*
Constant	.710	.369†		1.005	.520†
N		253			252

Note. Coefficients (B) and standard errors (SE) are for the final model in which all variables are entered. The R² column represents the amount of variance explained by all of the blocks included up to that point. Subtracting R² from the previous block will yield R² change (i.e., the amount of variance explained by that block alone). PVI = perceived visual informativeness; PMQ = perceived message quality; PercInform = perceived informativeness; PercAttrat = perceived attractiveness; V-V LP = visual/verbal learning preference (lower scores indicate verbal preference, higher scores indicate visual preference); VisFunction = visual function measured by the VF-14 (Steinberg et al., 1994), where higher scores indicate more visual ability; Pamphlet = identification of which of six pairs of images women received.

^†p < .10.

^*p < .05.

^**p < .01.

^***p < .001.