Data Analysis
Data were cleaned prior to analysis and checked for data
entry errors. Frequencies, percentages, means and standard
deviations were used to describe the demographic characteristics.
Differences in knowledge scores, intention to
screen, perceived risk and cancer worry by gender were
analyzed using Chi square and t tests. Multivariate logistic
regression was then performed as the primary analysis
which is to understand the extent that gender has an effect
on intention to screen for colon cancer. Multivariate linear
regression explored the secondary analyses of gender’s
effect on perceived risk and worry about cancer. Data were
analyzed using IBM SPSS Statistics 20 [26].