Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 586 - 586
Published: April 27, 2025
This study investigates the moderating effect of language attitude on relationships among social media addiction, pain, and internet trolling college students. A sample 891 students from various colleges universities completed validated measures assessing their levels trolling, attitude. Using a latent variable approach within multigroup structural equation modeling (SEM) framework, participants were divided into three groups (high, medium, low attitude) based scores. The SEM analysis revealed distinct patterns across groups. In high group, both addiction pain significantly predicted with standardized regression coefficients 0.564 0.728, respectively. medium predictive effects remained significant; however, magnitude decreased markedly (0.264 for 0.562 pain). contrast, in neither nor emerged as significant predictors trolling. Interestingly, covariance between consistent groups, suggesting stable interrelationship irrespective level. These findings imply that plays crucial role interplay Specifically, higher appear to amplify behavior, while lower attenuate these associations. results underscore importance considering individual differences attitudes when developing intervention strategies aimed at mitigating problematic online behaviors
Language: Английский