The Predictive Role of Happiness and Life Satisfaction on Internet Addiction among Teacher Candidates

This study examined how much the variables of happiness and life satisfaction predicted the internet addiction levels of teacher candidates. The research was conducted based on the relational screening model. The research group of the study consisted of a total of 391 teacher candidates, 187 (%47.8) male and 204 (%52.2) female, studying at different universities in Turkey in the 2024-2025 academic year. The average age of the research group was 21.44. Young Internet Addiction Test-Short Form, Oxford Happiness Scale, Life Satisfaction Scale and Personal Information Form were used as data collection tools in the study. The data obtained in the study were analyzed by multiple linear regression analysis (stepwise). As a result of the research; It was determined that internet addiction was significantly predicted by the variables of "happiness" in the first place and "life satisfaction" in the second place.