AI Summary & Key Takeaways
AI InsightThe analysis results showed that the scale has the power to measure the desired characteristics.
📌 3 Key Takeaways
Abstract
This study aimed to adapt the Generic Phubbing Scale (GPS) to Turkish culture and to examine the phubbing levels of university students concerning various variables. Acceptable goodness-of-fit indices werefound in the first-order confirmatory factor analysis (x2/df=2.47, GFI=0.92, IFI=0.92, CFI=0.95, NFI=0.92AGFI=0.89, TLI=0.94, and RMSEA=0.067) and the second-order confirmatory factor analysis (x2/df=2.61,GFI=0.92, IFI=0.95, CFI=0.95, NFI=0.92 AGFI=0.89, TLI=0.93, and RMSEA=0.070) performed to test theconstruct validity of the GPS. Later, the significance of the upper and lower 27% groups was analyzed usingan independent t-test. The analysis results showed that the scale has the power to measure the desired characteristics. Chronbach’s alpha internal consistency coefficient was found to be a=89. The study examineduniversity students’ phubbing levels in terms of various variables and performed a hierarchical regressionanalysis to explore whether the variables of smartphone addiction, fear of missing out, and boredom proneness were predictive variables for university students’ phubbing addiction levels. According to the results,these three variables were found to be significant predictor variables for the phubbing levels of universitystudents.