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Expanding the Reach of Health Campaigns: Can Community Organizations Serve as Viable Channels of Health Information?
Unformatted Document Text:  Expanding the Reach 16 ____________________________________________________________________________ Block 1 Secular trend -.14*** -.16*** 2.06*** Block 2 Age -.08 Age (quadratic function) .22*** Education .25*** Male .04*** 8.13*** Total R 2 (10.19) ___________________________________________________________________________ Notes: a Standardized beta from regression equation with only the Block 1 variable in the model. b Standardized beta from regression equation with variables in Blocks 1 and 2 in the model. c Change in R 2 applies to all variables included in the block. N = N = 11,523. *p < .001, **p < .01, ***p < .0001. Hypothesis 2 We hypothesized that, controlling for other predictors in the model, membership in community organizations would be significantly associated with health knowledge. This hypothesis was tested through hierarchical regression equations. In the first step, we introduced secular trend; in the second step, we included the known predictors from H1; in the third step, we introduced health information seeking; and in the final step, we introduced membership in community organizations. Results are shown in Table 3. Table 3 Predictors of Knowledge about Health from Regression Equations

Authors: Stephens, Keri., Rimal, Rajiv. and Flora, June.
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Expanding the Reach 16
____________________________________________________________________________
Block 1
Secular
trend
-.14*** -.16***
2.06***
Block 2
Age
-.08
Age (quadratic function)
.22***
Education
.25***
Male
.04***
8.13***
Total R
2
(10.19)
___________________________________________________________________________
Notes:
a
Standardized beta from regression equation with only the Block 1 variable in the model.
b
Standardized beta from regression equation with variables in Blocks 1 and 2 in the model.
c
Change in R
2
applies to all variables included in the block. N = N = 11,523. *p < .001, **p <
.01, ***p < .0001.
Hypothesis 2
We hypothesized that, controlling for other predictors in the model, membership in
community organizations would be significantly associated with health knowledge. This
hypothesis was tested through hierarchical regression equations. In the first step, we introduced
secular trend; in the second step, we included the known predictors from H1; in the third step, we
introduced health information seeking; and in the final step, we introduced membership in
community organizations. Results are shown in Table 3.
Table 3
Predictors of Knowledge about Health from Regression Equations


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