Skip to main content
. 2010 Apr 26;12(2):e11. doi: 10.2196/jmir.1520

Table 6.

Summary of hierarchical regression analysis for variables predicting a pharmacy evaluation index (n = 1914)

Model 1 Model 2
Variable Ba SEbB Betac Ba SEbB Betac
Age 0.01 0.00 0.09d 0.01 0.00 0.10d
Gender 0.02 0.01 0.03 0.01 0.01 0.02
College credits earned 0.04 0.01 0.09d 0.03 0.01 0.07d
Health major 0.02 0.00 0.13d 0.01 0.00 0.10d
Self-reported health -0.01 0.00 -0.08d -0.01 0.00 -0.08d
Belief in the high quality of Internet health information -0.03 0.01 -0.06d
Made health decisionse -0.02 0.00 -0.17d
R2 .05 .08
F change for R2 19.56d 34.66d

aUnstandardized regression coefficient (uses units unique to each variable)

bStandard error of B

cStandardized regression coefficient (uses the same units for all variables in the equation)

dSignificant at the .01 level

eWhether an individual used information from general Internet searches for health decision making, for self, or to help others