Gender Variations in the Effects of Number of Organizational Memberships, Number of Social Networking Sites, and Grade-Point Average on Global Social Responsibility in Filipino University Students

• Published in: Europe's journal of psychology Vol. 12; no. 1; pp. 191 - 202
• Main Authors: Lee, Romeo B, Baring, Rito V, Sta Maria, Madelene A
• Format: Journal Article
• Language: English
• Published: Germany Europe's Journal of Psychology 01.02.2016; PsychOpen; PsychOpen GOLD/ Leibniz Institute for Psychology
• Subjects: Filipino university students; gender; global social responsibility; grade-point average; organizational memberships; Research Reports; social networking sites; organizational memberships; gender; grade-point average; social networking sites; Filipino university students; global social responsibility
• ISSN: 1841-0413; 1841-0413
• DOI: 10.5964/ejop.v12i1.1040

The study seeks to estimate gender variations in the direct effects of (a) number of organizational memberships, (b) number of social networking sites (SNS), and (c) grade-point average (GPA) on global social responsibility (GSR); and in the indirect effects of (a) and of (b) through (c) on GSR. Cross-sectional survey data were drawn from questionnaire interviews involving 3,173 Filipino university students. Based on a path model, the three factors were tested to determine their inter-relationships and their relationships with GSR. The direct and total effects of the exogenous factors on the dependent variable are statistically significantly robust. The indirect effects of organizational memberships on GSR through GPA are also statistically significant, but the indirect effects of SNS on GSR through GPA are marginal. Men and women significantly differ only in terms of the total effects of their organizational memberships on GSR. The lack of broad gender variations in the effects of SNS, organizational memberships and GPA on GSR may be linked to the relatively homogenous characteristics and experiences of the university students interviewed. There is a need for more path models to better understand the predictors of GSR in local students.