Relationship Studies away from Fundamental Variables
The fresh new correlation research in the Table 2 suggests that worry was negatively synchronised having public classification and surely correlated which have personal nervousness and Websites habits.
Mediated-Moderation Impact Data
To research the latest www.datingranking.net/tr/chappy-inceleme moderation effectation of societal category ranging from be concerned and you can social anxiety plus the mediation aftereffect of public anxiety between worry and you may teenage Internet addiction, this research regarded the work from Ye and you may Wen (2013) to ensure the fresh Mediated-moderation Design. Earliest, most of the parameters have been canned by the centralization and you may calculating the product identity (be concerned ? public group). Next, we used a hierarchical multiple regression to manage having gender, amount, or other variables (Table 3).
In the first step, we used a stepwise entry method to calculate the regression of Internet addiction to stress and social class (the moderator) and stress ? social class. The results showed that the regression coefficient of stress ? social class was significant (? = 0.06, p < 0.01), which means that social class plays a significant role in moderating the relationship between stress and Internet addiction.
In the second step, we again used a stepwise entry method to calculate the regression of social anxiety to stress; social class and stress ? social class. The results showed that the coefficient of stress ? social class is also significant (? = 0.06, p < 0.01), which means that social class plays a significant role in moderating the relationship between stress and social anxiety. Whatever the status, the stress perceived by adolescents had a significant predictive effect on social anxiety according to simple slope testing. Furthermore, with the stress from low to high, the anxiety levels adolescents perceived was higher in the low social class (b = 0.27, t = 3.96, p < 0.001) than that of adolescents in the high social class (b = 0.48, t = 9.76, p < 0.001).
Lastly, in the third step, we used a stepwise entry method to calculate the regression of Internet addiction to stress and social class; social anxiety and stress ? social class. It showed that the explanatory power of the product term to Internet addiction decreases and that the regression coefficient of social anxiety was significant (? = 0.30, p < 0.001). However, the results were still significant (? = 0.04, p < 0.05), which indicates that social anxiety partially mediates the moderation of social class on stress and Internet addiction, and the indirect moderating effect accounted for 16.7% of the total moderating effect.
To test the mediated-moderation effect more thoroughly, we constructed an equation model with stress, social class, stress ? social class, social anxiety, and Internet addiction as observable variables (Figure 1). The results showed that ?2/df = 4.98, RMSEA = 0.049, SRMR = 0.024, CFI = 0.991, GFI = 0.998, and TLI = 0.957. In general, if ?2/df > 3.84, RMSEA < 0.08, SRMR 0.90, the structural equation model is established. In this study, the model fit the data well, which confirmed the mediated-moderation model.
Figure 1. A mediated-moderation model. Factor loadings are standardized. ? p < 0.05, ?? p < 0.01, ??? p < 0.001.
Next, we use bootstrap estimation process to study the fresh robustness in the mediation feeling. The results indicated that 95% count on interval are significantly synchronised that have mediation impression. Worry somewhat and you can ultimately swayed Web sites habits using public anxiety, the new secondary impact are projected are 0.thirteen (95% trust interval [0.10–0.15]), while the telecommunications anywhere between fret and public stratum along with influenced Internet sites habits notably courtesy social stress, brand new indirect perception try projected become 0.02 (95% confidence period [0.01–0.03]).