Gender Differences in Internet Use: A Logistic Regression Analysis

In today’s higher education, Internet technologies play increasingly essential roles in creating, storing, and disseminating information and knowledge. This study investigates gender differences in Internet usage patterns and perceptions of Internet technologies using data gathered from 805 business students. A three-variable logistic regression model is assessed in terms of the overall model fit, as well as the direction of variable association and its magnitude among the research variables. It is found that gender differences of business students do exist in terms of Internet usage patterns and perceptions of Internet technologies. Such differences are reflected in perceptions of Internet self-efficacy, experience, and information overload. Our findings indicate that the gender neutrality among business students in the Internet era is yet to be a social reality. Research implications and methodological issues of logistic analysis are also discussed.