“…In order to identify the unique contributions of WeChat utilization, several variables are controlled in the analysis, consisting of gender, age, educational level, duration of sojourn in Germany and WeChat use experience. Additionally, multiple fit indices were utilized to evaluate the overall goodness of model fit: χ 2 /df ratios be less than 3.0 (Banoglu et al, 2015), root mean square error of approximation (RMSEA) be smaller than 0.08 (Sun et al, 2017), goodness-of-fit index (GFI) and adjusted goodness-of-fit index (AGFI) be 0.8 or above (Yoo and Jeong, 2017), comparative fit index (CFI), increasing fitness index (IFI) and Tucker-Lewis index (TLI) be 0.9 or greater (Wu and Tsai, 2005). Accordingly, results indicated that the present hypothesized model fits the empirical data sufficiently well ( χ 2 /df ¼ 1.12; RMSEA ¼ 0.002; RMR ¼ 0.001; CFI ¼ 0.997; AGFI ¼ 0.925; IFI ¼ 0.978; TLI ¼ 0.966).…”