Adjustment Estimation and Validation of the Addiction to Social Networks Scale Using the SEM Methodology

Abstract

Currently, social networks serve as communication tools, but the problem of excessive usage leading to addiction is on the rise. Therefore, the purpose of this study is to validate the Social Network addiction (SNA) scale in university students. The study is developed from a quantitative approach, of an exploratory and confirmatory type. The type of sampling is non-probabilistic by self-determination, and the participation of 200 students was achieved, to whom the reason for the survey was explained, who agreed to participate voluntarily. For data analysis, the instrument was validated according to Cronbach's alpha criteria and after, for the analysis, the SEM methodology was used. The most important findings show only the conformation of a two-factor model, which includes the seven most representative items, and which are feasible to analyze in this study group. The goodness-of-fit index (GFI) value is acceptable since it exceeds the theoretical threshold greater than 0.9 and the root mean square error of approximation (RMSEA) is less than 0.05. The Tucker-Lewis index (TLI) and the norm adjustment index (NFI) are greater than 0.9. Based on the results, it can be concluded that students exhibit a strong desire for connectivity. Furthermore, they invest a significant amount of time in their online networks and experience uncertainty about how to occupy their when they are not connected.