The Application of Data Mining in Analyzing the Relationship between Interpersonal Relationship Distress and Smartphone Addiction of College Students

Abstract

This research employed computer technology to analyze data from 1737 university students, investigating the impact of smartphone usage on changes in their interpersonal relationships. Additionally, a predictive model was developed to understand patterns of smartphone use. A cross-sectional survey was conducted using the Smartphone Addiction Scale, Interpersonal Relationship Assessment Scale, Basic Psychological Needs Scale, and Negative Coping Style Scale among college students. The study examined how distress in interpersonal relationships among college students predicts smartphone addiction and explored the mediating effects of basic psychological needs and negative coping strategies in this relationship. Findings revealed that: (1) Distress in interpersonal relationships is a predictor of smartphone addiction among college students; (2) Basic psychological needs act as an intermediary factor between interpersonal relationships and smartphone addiction; (3) Negative coping strategies also serve as an intermediary factor between interpersonal relationships and smartphone addiction; (4) Both basic psychological needs and negative coping strategies jointly play a chain mediating role in the association between interpersonal relationships and smartphone addiction.