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Full-Text Articles in Social Psychology
Smartphone Addiction And Checking Behavior Predict Aggression: A Structural Equation Modeling Approach, Shuna Shiann Khoo, Hwajin Yang
Smartphone Addiction And Checking Behavior Predict Aggression: A Structural Equation Modeling Approach, Shuna Shiann Khoo, Hwajin Yang
Research Collection School of Social Sciences
Despite the potential risks of excessive smartphone use for maladaptive outcomes, the link between smartphone use and aggression remains less understood. Furthermore, prior findings are inconclusive due to a narrow focus on limited aspects of smartphone use (e.g., screen time) and reliance on self-reported assessments of smartphone use. Therefore, using objective measures of smartphone use, we sought to examine the associations between several key indices of smartphone use—screen time, checking behaviors, and addictive tendency—and multifaceted aggression (i.e., confrontation, anger, and hostility). In a cross-sectional study, we administered a series of questionnaires assessing aggressive tendencies (i.e., The Aggression Questionnaire) and various …
Mental Disengagement Mediates The Effect Of Rumination On Smartphone Use: A Latent Growth Curve Analysis, Shi Ann Shuna Khoo, Hwajin Yang
Mental Disengagement Mediates The Effect Of Rumination On Smartphone Use: A Latent Growth Curve Analysis, Shi Ann Shuna Khoo, Hwajin Yang
Research Collection School of Social Sciences
Rumination has consistently been found to predict excessive smartphone use. However, a paucity of research has examined the mechanism that underlies this relation. Drawing on relevant theoretical accounts, we examined whether specific coping functions that can be fulfilled through smartphones—i.e., mental disengagement, problem-focused, and socioemotional coping—mediate, in parallel, the positive link between rumination and smartphone use. Using latent growth curve and structural equation modeling (N = 217), we found that only mental disengagement fully mediated the link between rumination and the intercept (i.e., initial baseline levels) of smartphone use, which was objectively quantified using screen time monitoring applications installed on …