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A Multidimensional Model for the Bridging Social Capital as Perceived by University Students on Facebook

Author

Listed:
  • Alexandru BALOG

    (National Institute for Research & Development in Informatics)

  • Costin PRIBEANU

    (National Institute for Research & Development in Informatics)

Abstract

The increasing popularity of Facebook among university students stimulates the study of social networking websites and associated social phenomena. As social networking websites are able to provide valuable resources for students there is an increasing interest in measuring the social capital that is formed and developed in university contexts. This paper presents an empirical validation of a multidimensional model for the bridging social capital that has been conceptualized as a global factor with three dimensions: outward looking, broader group, and meeting new people. The model has been tested and crossvalidated using two samples collected from two Romanian universities. The results show that the multidimensional model is a better conceptualization having a higher explanatory power than the unidimensional model. An analysis of invariance shows that the proposed scale is equivalent across university profiles thus enabling group comparisons.

Suggested Citation

  • Alexandru BALOG & Costin PRIBEANU, 2017. "A Multidimensional Model for the Bridging Social Capital as Perceived by University Students on Facebook," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 189-206.
  • Handle: RePEc:cys:ecocyb:v:50:y:2017:i:4:p:189-206
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    References listed on IDEAS

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    1. Koufteros, Xenophon & Babbar, Sunil & Kaighobadi, Mehdi, 2009. "A paradigm for examining second-order factor models employing structural equation modeling," International Journal of Production Economics, Elsevier, vol. 120(2), pages 633-652, August.
    2. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1998. "Assessing Measurement Invariance in Cross-National Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 78-90, June.
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    More about this item

    Keywords

    social capital; bridging social capital; multidimensional model; Facebook; Structural Equation Modeling; Multi-group CFA.;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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