Along with the development of information technology, the concept of social capital has been extended to the online perspective. Major limitations of the offline social capital include the information was most often describing the socio-economic status of parents rather than the children per se. The main objectives of the study was to examine the current relationship and effect of the socio-demographic factors and online social capital. 298 students were recruited in a cross-sectional quantitative study. The Internet Social Capital Scale (ISCS) and 17 socio-demographic factors were assessed by self-reported measures. The correlation results found that mothers’ education level and occupation level, living district, types of housing, types of the department, were significantly associated with both online bonding and online bridging. In addition, the father’s education level and occupation level, perceived financial status were only associated with online bonding. Family income, course types, and job status were only associated with online bridging. According to the results of hierarchical linear regression, model 5 explained 25.9% of online social capital, F (11,163) = 6.543, p < .001. In details, mother occupation, housing types, types of department, and perceived financial status were significant predictors to online social capital. The most important predictor was the housing group (including types of housing and living status), which uniquely explained 7.2% of the variation in online social capital. To conclude, the housing conditions were the most important factor that affected the online social capital among university students in the Hong Kong context.
Wan Sang Kan, City University of Hong Kong, Hong Kong
Vanessa Hoi Mei Cheung, Caritas Institute of Higher Education, Hong Kong
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