The purpose of this study was to investigate if there were predictors for student participation in university governance; voting rates in particular. The variables examined were citizenship status, gender, age, basis of admission, program level, and program delivery model. The location of the study, Royal Roads University, offers the majority of its programs through a blended delivery model: an online format combined with short residencies. A regression analysis was performed on voter participation rates in elections for student representatives on the Royal Roads University Student Association, Academic Council, and the Board of Governors. Results indicate low voting rates overall with the highest frequency of voting amongst those in blended delivery programs; correlations exist between age and citizenship status, and between program delivery model and program level, but statistically significant predictors of voting behaviour were peculiar to each election dataset. / Graduate