Page 52 - Never Too Far Away? The Roles of Social Network Sites in Sojourners’ Adjustment

the control variables, gender and length of stay had no effect on the main variables in the model. In both cross-lagged models (Models 1a and 1b), H1and H3 were not supported. Figure 2 provides a summary of the statistically significant results for Model 1b.
Figure 2. Simplified version of the cross-lagged model (Model 1b) presented with the unstandardized regression coefficients of the statistically significant paths.
Note. ***p < .001; *p < .05, two-tailed; †p < .05, one-tailed; FBHos = Facebook interaction with the host- country network. All variables were standardized within waves. For visual clarity, correlations between error terms were not included.
Evaluation of the non-lagged reciprocal causation model. We then tested a non-lagged model without the control variables (Model 2a). Model 2a showed a good fit to the data (χ2 (84) = 99.11; p = .124; χ2/df = 1.18; RMSEA = .02; CFI = .98; TLI = .98). We also found that the assumption of constancy of structural effects was valid for Model 2a (χ2(63) = 77.36; p = .105; χ2/df = 1.23; RMSEA = .02; CFI = .98; TLI = .97; χ2diff = 21.75; dfdiff = 21; p =.414). Within time points, FtF interaction with the host-country network predicted higher perceived social support (b = 0.09; SE = 0.05; p = .038, one-tailed), confirming H1. Moreover, perceived support predicted higher Facebook interaction with the host-country network (RQ1b). Higher perceived social support predicted lower depressive symptoms, confirming
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