Kaiser-Meyer-Olkin Factor Analysis: A Quantitative Approach on Mobile Gaming Addiction using Random Forest Classifier

Abstract

Technology allows us to progress and innovate in today's world, which advances at a faster pace. We innovate from traditional to digital life with the use of technology. There have been several technological advances, such as Mobile Gaming, that have occurred as a result of the evolution of technology. Gaming is a recreational pastime that has become available through technology in the form of apps for mobile devices. Technology is beneficial, but it also has a negative side effect: addiction. The goal of the study is to see if there is any link between a student's time spent playing mobile games and their social interactions. The study also attempts to discover different features that are important in mobile gaming addiction since they can be used to detect early signs of addiction. For the feature of importance, the researchers applied Random Forest Classifier. To ensure that the data is adequate, the study will employ factor analysis and Kaiser-Meyer-Olkin. This information can be utilized to improve the future study. The researchers gathered and used data from 513 college students from several Philippine universities.