Structural equation modeling and confirmatory factor analysis of social media use and education

• Main Authors: Shugufta Abrahim, Bilal Ahmed Mir, Hayato Suhara, Fatin Amirah Mohamed, Masahiro Sato
• Format: Article
• Language: English
• Published: SpringerOpen 2019-07-01
• Series: International Journal of Educational Technology in Higher Education
• Subjects: Social media; Facebook; Structural equation modelling; Confirmatory factor analysis; Collaborative learning
• Online Access: http://link.springer.com/article/10.1186/s41239-019-0157-y

Abstract The objective of this study is to design a structural equation model and test confirmatory factor analysis system in order to better explain how students could utilize social networking system (Facebook) for educational purposes. Thus, this paper seeks to examine the attitude, perception and behaviour of Japanese students’ towards social-networking sites, and how students from non-English speaking backgrounds (especially Japanese students) at the University of Toyama perceive the use of Facebook for learning English as a foreign language. Our Structural Equation Modelling system based Facebook model outline the relations among different types of independent, dependent variables and constructs. We tested our model using adequate fitting indices like Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Non-Normed Fit Index/Tucker Lewis index (NNFI/TLI) and Incremental Fit Index (IFI). The results of the proposed model confirmed the hypothesized latent structures and theoretical validity of probed factors. Conclusions drawn from this study might be useful to better understand the use of social networking tools in educational context.