情绪智力对问题性移动社交媒体使用的影响——一项交叉滞后研究
The Impact of Emotional Intelligence on Problematic Mobile Social Media Use—A Cross-Lagged Panel Study
摘要: 目的:根据I-PACE模型的理论基础,采用纵向研究,探讨情绪智力与问题性移动社交媒体使用之间的关系。方法:采用整群抽样法,使用《问题性移动社交媒体使用评估问卷》《情绪智力量表中文版》,对北京、上海、四川、云南四地的9所高校共508名在校生进行为期一年共三次,每次间隔6个月的纵向追踪调查。使用SPSS 22.0、Amos 22.0、Mplus 8.3对所得数据进行统计分析并建立交叉滞后模型。结果:(1) T1情绪智力负向预测T2问题性移动社交媒体使用;(2) T2情绪智力负向预测T3问题性移动社交媒体使用;(3) T1和T2问题性移动社交媒体使用均无法显著预测情绪智力。结论:情绪智力水平越低,其出现问题性移动社交媒体使用的可能性越大,在这一影响过程中,情绪智力单向预测问题性移动社交媒体使用。
Abstract: Objective: This study aimed to investigate the relationship between emotional intelligence and problematic mobile social media use, based on the theoretical framework of the I-PACE model. Methods: A longitudinal study was conducted using cluster sampling. The Problematic Mobile Social Media use Assessment Questionnaire and the Chinese version of the Emotional Intelligence Scale were administered to 508 current students from nine universities across Beijing, Shanghai, Sichuan, and Yunnan. Data collection occurred over one year with three surveys spaced six months apart. Statistical analyses were performed using SPSS 23.0, Amos 22.0, and Mplus 8.3 to establish a structural equation model. Result: (1) T1 emotional intelligence negatively predicts T2 problematic mobile social media use; (2) T2 emotional intelligence negatively predicts T3 problematic mobile social media use; (3) Neither T1 nor T2 problematic mobile social media use significantly predicts emotional intelligence. Conclusion: Lower levels of emotional intelligence are associated with a higher likelihood of problematic mobile social media use. In this relationship, emotional intelligence unidirectionally influences problematic mobile social media use.
文章引用:彭思凡, 陈馨, 官河旭, 陈孜 (2025). 情绪智力对问题性移动社交媒体使用的影响——一项交叉滞后研究. 心理学进展, 15(4), 740-750. https://doi.org/10.12677/ap.2025.154259

参考文献

[1] 姜永志, 白晓丽, 刘勇(2017). 青少年移动社交网络使用动机调查. 中国青年社会科学, 36(1), 88-94.
[2] Alshakhsi, S., Chemnad, K., Almourad, M. B., Altuwairiqi, M., McAlaney, J., & Ali, R. (2022). Problematic Internet Usage: The Impact of Objectively Recorded and Categorized Usage Time, Emotional Intelligence Components and Subjective Happiness about Usage. Heliyon, 8, e11055.[CrossRef] [PubMed]
[3] Andreassen, C. S. (2015). Online Social Network Site Addiction: A Comprehensive Review. Current Addiction Reports, 2, 175-184.[CrossRef
[4] Andreassen, C., & Pallesen, S. (2014). Social Network Site Addiction—An Overview. Current Pharmaceutical Design, 20, 4053-4061.[CrossRef] [PubMed]
[5] Aranda López, M., García Domingo, M., Fuentes Gutiérrez, V., & Linares Martínez, R. (2022). Emotional Intelligence and Adult Attachment: Effects on Problematic Smartphone Usage. Anales de Psicología, 38, 36-45.[CrossRef
[6] Bae, E. J., Kim, D. E., Sagong, H., & Yoon, J. Y. (2022). Problematic Smartphone Use and Functional Somatic Symptoms among Adolescents: Mediating Roles of Depressive Symptoms and Peer Relationships by Gender. Archives of Psychiatric Nursing, 40, 25-31.[CrossRef] [PubMed]
[7] Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W. et al. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) Model for Addictive Behaviors: Update, Generalization to Addictive Behaviors Beyond Internet-Use Disorders, and Specification of the Process Character of Addictive Behaviors. Neuroscience & Biobehavioral Reviews, 104, 1-10.[CrossRef] [PubMed]
[8] Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating Psychological and Neurobiological Considerations Regarding the Development and Maintenance of Specific Internet-Use Disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) Model. Neuroscience & Biobehavioral Reviews, 71, 252-266.[CrossRef] [PubMed]
[9] Chang, C., Huang, R., Strong, C., Lin, Y., Tsai, M., Chen, I. et al. (2022). Reciprocal Relationships between Problematic Social Media Use, Problematic Gaming, and Psychological Distress among University Students: A 9-Month Longitudinal Study. Frontiers in Public Health, 10, Article 858482.[CrossRef] [PubMed]
[10] China Internet Network Information Center (2024). The 54th Statistical Report on China’s Internet Development. China Internet Network Information Center.
https://www.cnnic.net.cn/n4/2024/0829/c88-11065.html
[11] Di, M., Deng, X., Zhao, J., & Kong, F. (2022). Psychometric Properties and Measurement Invariance across Sex of the Wong and Law Emotional Intelligence Scale in Chinese Adolescents. Psychological Reports, 125, 599-619.[CrossRef] [PubMed]
[12] Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument. MIS Quarterly, 18, 453-461.[CrossRef
[13] Ferguson, S. M., & Ryan, A. M. (2019). It’s Lonely at the Top: Adolescent Students’ Peer-Perceived Popularity and Self-Perceived Social Contentment. Journal of Youth and Adolescence, 48, 341-358.[CrossRef] [PubMed]
[14] Flack, M., Burton, W. H., & Caudwell, K. M. (2024). I Rely on a Little Help from My Friends: The Effect of Interpersonal and Intrapersonal Emotion Regulation on the Relationship between FOMO and Problematic Internet Use. BMC Psychiatry, 24, Article No. 384.[CrossRef] [PubMed]
[15] Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18, 382-388.[CrossRef
[16] Hashemi, Y., Zarani, F., Heidari, M., & Borhani, K. (2022). Purposes of Internet Use among Iranian University Students: Exploring Its Relationship with Social Networking Site (SNS) Addiction. BMC Psychology, 10, Article No. 80.[CrossRef] [PubMed]
[17] Hau, K. T., Wen, Z. L., & Cheng, Z. J. (2004). Structural Equation Model and Its Application. Educational Science Publishing House.
[18] Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. Electronic Journal of Business Research Methods, 6, 53-60.
[19] Hou, X., Wang, H., Guo, C., Gaskin, J., Rost, D. H., & Wang, J. (2017). Psychological Resilience Can Help Combat the Effect of Stress on Problematic Social Networking Site Usage. Personality and Individual Differences, 109, 61-66.[CrossRef
[20] Jiang, Y. Z. (2018). Development of Problematic Mobile Social Media Usage Assessment Questionnaire for Adolescents. Psychological Techniques and Applications, 6, 613-621.
[21] Jo, H., & Baek, E. (2023). Predictors of Social Networking Service Addiction. Scientific Reports, 13, Article No. 16705.[CrossRef] [PubMed]
[22] Lim, Y. (2023). Social Media Use Motives as Mediators of the Link between Covert Narcissism and Problematic Social Media Use. Alpha Psychiatry, 24, 161-166.[CrossRef] [PubMed]
[23] Mayer, J. D., Caruso, D. R., & Salovey, P. (2016). The Ability Model of Emotional Intelligence: Principles and Updates. Emotion Review, 8, 290-300.[CrossRef
[24] Nakpong, N., & Chanchalor, S. (2019). Interactive Multimedia Games to Enhance the Emotional Intelligence of Deaf and Hard of Hearing Adolescents. International Journal of Instruction, 12, 305-320.[CrossRef
[25] Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88, 879-903.[CrossRef] [PubMed]
[26] Richard, J., & King, S. M. (2023). Annual Research Review: Emergence of Problem Gambling from Childhood to Emerging Adulthood: A Systematic Review. Journal of Child Psychology and Psychiatry, 64, 645-688.[CrossRef] [PubMed]
[27] Ruiz-Ariza, A., Casuso, R. A., Suarez-Manzano, S., & Martínez-López, E. J. (2018). Effect of Augmented Reality Game Pokémon GO on Cognitive Performance and Emotional Intelligence in Adolescent Young. Computers & Education, 116, 49-63.[CrossRef
[28] Satici, S. A. (2019). Facebook Addiction and Subjective Well-Being: A Study of the Mediating Role of Shyness and Loneliness. International Journal of Mental Health and Addiction, 17, 41-55.[CrossRef
[29] Swanton, T. B., Blaszczynski, A., Forlini, C., Starcevic, V., & Gainsbury, S. M. (2021). Problematic Risk-Taking Involving Emerging Technologies: A Stakeholder Framework to Minimize Harms. Journal of Behavioral Addictions, 9, 869-875.[CrossRef] [PubMed]
[30] Wang, J., Chen, J., Wang, P., Zhang, S., Li, Q., Lu, S. et al. (2024). Identifying Internet Addiction Profiles among Adolescents Using Latent Profile Analysis: Relations to Aggression, Depression, and Anxiety. Journal of Affective Disorders, 359, 78-85.[CrossRef] [PubMed]
[31] Wang, S., Li, J., Wang, S., Mi, C., Wang, W., Xu, Z. et al. (2022). Escapism-Based Motivation Affected the Psychological Performances of High-Risk Internet Gaming Disorder Individuals. Frontiers in Psychiatry, 13, Article 855631.[CrossRef] [PubMed]
[32] Weinstein, A. M. (2023). Problematic Social Networking Site Use-Effects on Mental Health and the Brain. Frontiers in Psychiatry, 13.[CrossRef] [PubMed]
[33] Wong, C., & Law, K. S. (2002). The Effects of Leader and Follower Emotional Intelligence on Performance and Attitude: An Exploratory Study. In A. Hooper (Ed.), Leadership Perspectives (pp. 97-128). Routledge.[CrossRef
[34] Zhang, H. (2023). Smartphone Addiction among University Students’ during the Post-Covid-19 Era: The Role of Emotional Intelligence and Future Anxiety. Psychiatry Investigation, 20, 951-961.[CrossRef] [PubMed]