研究生: |
曾心一 Tseng, Hsin-Yi |
---|---|
論文名稱: |
高中生情緒反應、因應型態、拒智慧型手機自我效能與智慧型手機成癮關係之追蹤性研究 Longitudinal Associations of Emotion Reactivity, Coping Style, Smartphone Refusal Self-Efficacy, and Smartphone Addiction among Senior High School Students |
指導教授: |
林旻沛
Lin, Min-Pei |
口試委員: |
林旻沛
Lin, Min-Pei 李昆樺 Lee, Kun-Hua 曾幼涵 Tseng, Yu-Han |
口試日期: | 2024/01/30 |
學位類別: |
碩士 Master |
系所名稱: |
教育心理與輔導學系 Department of Educational Psychology and Counseling |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 58 |
中文關鍵詞: | 智慧型手機成癮 、情緒反應 、因應型態 、拒用自我效能 、三元影響理論 |
英文關鍵詞: | smartphone addiction, emotion reactivity, coping style, refusal self-efficacy, theory of triadic influence |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202400542 |
論文種類: | 學術論文 |
相關次數: | 點閱:127 下載:7 |
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本研究援引三元影響理論架構,旨在探討高中生情緒反應、逃避—情緒取向因應型態、拒智慧型手機自我效能與智慧型手機成癮之關係,並檢驗逃避—情緒取向因應和拒智慧型手機自我效能序列中介情緒反應對智慧型手機成癮的預測關係。本研究針對我國高中生進行立意取樣,並透過縱貫性研究方法,分為兩個時間點進行問卷施測,第一時間點(下稱T1)回收有效問卷數共1,258份,於第二時間點(下稱T2)進行追蹤測並回收共1,150份有效問卷,有效樣本追蹤率為91.41%。本研究工具包含:個人資料表、情緒反應量表、因應型態量表之逃避—情緒取向因應、拒智慧型手機自我效能量表及智慧型手機成癮量表。本研究採用描述性統計分析、皮爾森相關分析、迴歸分析等統計分析方式,並透過SPSS PROCESS外掛模組等統計方式進行中介效果分析。本研究結果顯示:一、高中生的情緒反應(T1)能顯著且正向預測智慧型手機成癮(T2);二、高中生的逃避—情緒取向因應(T2)能顯著且正向預測智慧型手機成癮(T2);三、高中生的拒智慧型手機自我效能(T2)能顯著且負向預測智慧型手機成癮(T2);四、高中生的逃避—情緒取向因應(T2)與拒智慧型手機自我效能(T2)能序列中介情緒反應(T1)對智慧型手機成癮(T2)的預測關係。本研究驗證了三元影響理論於我國高中生智慧型手機成癮歷程之適用性。本研究建議實務工作者能藉由協助發展壓力因應策略、提升拒用自我效能等方式,以協助高中生降低智慧型手機成癮之風險。
Based on the Theory of Triadic Influence, the study aims to investigate the relationship between emotion reactivity, avoidance/emotion-focused coping, smartphone refusal self-efficacy, and smartphone addiction among high school students, as well as the mediating effect of avoidance/emotion-focused coping and smartphone refusal self-efficacy on the prediction of emotion reactivity on smartphone addiction.
This study used a purposive sampling of high school students in Taiwan, with the questionnaire administered twice using a longitudinal research method. A total of 1,258 valid questionnaires were collected at the first time point (T1), followed by 1,150 valid questionnaires at the second time point (T2), yielding a 91.41% valid sample tracking rate. Personal Information Form, Emotion Reactivity Scale, Avoidance/Emotion-Focused Coping Checklist, Smartphone Refusal Self-Efficacy Scale, and Smartphone Addiction Scale were used as the instruments in this study. The study used descriptive statistical analysis, Pearson's correlation analysis, regression analysis, and SPSS Process macro for mediation effect analysis.
The results showed that:
1. emotion reactivity (T1) can significantly and positively predict smartphone addiction (T2) among high school students;
2. avoidance/emotion-focused coping (T2) can significantly and positively predict smartphone addiction (T2) among high school students;
3. smartphone refusal self-efficacy (T2) can significantly and negatively predict smartphone addiction (T2) among high school students;
4. avoidance/emotion-focused coping (T2) and smartphone refusal self-efficacy (T2) serially mediated the relationship between emotion reactivity (T1) and smartphone addiction (T2) among high school students.
This study validated the applicability of the Theory of Triadic Influence on the smartphone addiction process among high school students in Taiwan. This study suggests that practitioners may assist high school students in reducing the risk of smartphone addiction by helping them develop coping strategies and enhancing refusal self-efficacy.
朱晏萱(2023):《高中職學生智慧型手機正向結果預期、拒智慧型手機自我效能與智慧型手機沈迷之相關研究》(碩士,國立臺灣師範大學),華藝線上圖書館,https://doi.org/10.6345/NTNU202300598
張宇岱(2003):《焦慮合併酒癮與焦慮患者在酒精效果預期、拒酒自我效能及壓力因應方式上的差異》(碩士,國立成功大學),臺灣博碩士論文知識加值系統, https://hdl.handle.net/11296/awm8a9
教育部資訊及科技教育司(2017):《106年臺灣中小學學生網路使用行為調查報告》。https://ws.moe.edu.tw/Download.ashx?u=C099358C81D4876CA89ABD8A8B76D9997C8CD1ED0B5A2F1BF61674CA2E7A1AFEEC2155A0E1BC737587D44CE4C80A4DE597696751F36E81B1F7413086C83C466DE23B8AF3D374713D41F65DEA7CC4AA21&n=A7FAAB9C0EEFD3D29CBD4E0FED465EC7A204854EFE687731A46B46ACDE8E0737B233E1A734E6568E90962FE353FC5A49FA929C40AB1AD355AA4E018D4B8202B6&icon=..pdf
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596
Andangsari, E. W., Dhowi, B., Djunaidi, A., Fitriani, E., & Harding, D. (2017, November). Problematic Internet Use (PIU): The role of emotional factors on social media activities. 2017 Second International Conference on Informatics and Computing (ICIC) (pp. 1–6). IEEE. https://doi.org/10.1109/iac.2017.8280539
Baldwin, A. R., Oei, T. P., & Young, R. (1993). To drink or not to drink: The differential role of alcohol expectancies and drinking refusal self-efficacy in quantity and frequency of alcohol consumption. Cognitive Therapy and Research, 17, 511–530. https://doi.org/10.1007/BF01176076
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (1999). A sociocognitive analysis of substance abuse: An agentic perspective. Psychological Science, 10(3), 214–217. https://doi.org/10.1111/1467-9280.00138
Bandura, C. A. (2002). Social foundations of thought and action. In D. F. Marks (Ed.), The health psychology reader (pp. 94–106). SAGE Publications.
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y
Brand, M., Laier, C., & Young, K. S. (2014). Internet addiction: coping styles, expectancies, and treatment implications. Frontiers in Psychology, 5, Article 1256. https://doi.org/10.3389%2Ffpsyg.2014.01256
Chaplin, T. M., Niehaus, C., & Gonçalves, S. F. (2018). Stress reactivity and the developmental psychopathology of adolescent substance use. Neurobiology of Stress, 9, 133–139. https://doi.org/10.1016/j.ynstr.2018.09.002
Chavarria, J., Stevens, E. B., Jason, L. A., & Ferrari, J. R. (2012). The effects of self-regulation and self-efficacy on substance use abstinence. Alcoholism Treatment Quarterly, 30(4), 422–432. https://doi.org/10.1080/07347324.2012.718960
Chen, K. C., Liu, S., Lin, M. P., Lee, Y. T., Wu, J. Y. W., Lin, C. A., & You, J. (2022). A moderated mediation model of the relationship between depression and Internet addiction: mediation by refusal self-efficacy of Internet use and moderation by online and real-life social support. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-022-00949-0
Cheng, C., Sun, P., & Mak, K. K. (2015). Internet addiction and psychosocial maladjustment: avoidant coping and coping inflexibility as psychological mechanisms. Cyberpsychology, Behavior, and Social Networking, 18(9), 539–546. https://doi.org/10.1089/cyber.2015.0121
Cho, K.-S., & Lee, J.-M. (2017). Influence of smartphone addiction proneness of young children on problematic behaviors and emotional intelligence: mediating self-assessment effects of parents using smartphones. Computers in Human Behavior, 66, 303–311. https://doi.org/10.1016/j.chb.2016.09.063
Choi, H. S., Lee, H. K., & Ha, J. C. (2012). The influence of smartphone addiction on mental health, campus life and personal relations-focusing on K university students. Journal of the Korean Data and Information Science Society, 23(5), 1005–1015. https://doi.org/10.7465/jkdi.2012.23.5.1005
Daraj, L. R., AlGhareeb, M., Almutawa, Y. M., Trabelsi, K., & Jahrami, H. (2023). Systematic review and meta-analysis of the correlation coefficients between nomophobia and anxiety, smartphone addiction, and insomnia symptoms. Healthcare, 11(14), Article 2066. https://doi.org/10.3390/healthcare11142066
Flay, B. R., & Petraitis, J. (1994). The Theory of Triadic Influence: a new theory of health behavior with implications for preventive interventions. Advances in Medical Sociology, 4, 19–44.
Folkman, S., & Lazarus, R. S. (1985). If it changes it must be a process: study of emotion and coping during three stages of a college examination. Journal of Personality and Social Psychology, 48(1), 150–170. https://doi.org/10.1037/0022-3514.48.1.150
Folkman, S., & Lazarus, R. S. (1988). Coping as a mediator of emotion. Journal of Personality and Social Psychology, 54(3), 466–475. https://doi.org/10.1037/0022-3514.54.3.466
Fowler, J., Gullo, M. J., & Elphinston, R. A. (2020). Impulsivity traits and Facebook addiction in young people and the potential mediating role of coping styles. Personality and Individual Differences, 161, Article 109965. https://doi.org/10.1016/j.paid.2020.109965
Gecas, V. (1989). The social psychology of self-efficacy. Annual Review of Sociology, 15(1), 291–316. https://doi.org/10.1146/annurev.so.15.080189.001451
Gross, J. J. (1998). The emerging field of emotion regulation: an integrative review. Review of General Psychology, 2(3), 271–299. https://doi.org/10.1037/1089-2680.2.3.271
Gunning, M., Sussman, S., Rohrbach, L. A., Kniazev, V., & Masagutov, R. (2009). Concurrent predictors of cigarette and alcohol use among US and Russian adolescents. Journal of Drug Education, 39(4), 385–400. https://doi.org/10.2190/DE.39.4.c
Herman-Stabl, M. A., Stemmler, M., & Petersen, A. C. (1995). Approach and avoidant coping: implications for adolescent mental health. Journal of Youth and Adolescence, 24(6), 649–665. https://doi.org/10.1007/bf01536949
https://doi.org/10.4135/9781446221129.n6
Huang, S., Lai, X., Ke, L., Qin, X., Yan, J. J., Xie, Y., Dai, X., & Wang, Y. (2023). Development and validation of a measure of smartphone coping style among Chinese adolescents. Journal of Children and Media, 17(4), 488–505. https://doi.org/10.1080/17482798.2023.2239951
Koob, G. F. (2015). The dark side of emotion: the addiction perspective. European Journal of Pharmacology, 753, 73–87. https://doi.org/10.1016/j.ejphar.2014.11.044
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.
Lei, H., Cheong, C. M., Li, S., & Lu, M. (2018). The relationship between coping style and Internet addiction among mainland Chinese students: a meta-analysis. Psychiatry Research, 270, 831–841. https://doi.org/10.1016/j.psychres.2018.10.079
Li, H., Zou, Y., Wang, J., & Yang, X. (2016). Role of stressful life events, avoidant coping styles, and neuroticism in online game addiction among college students: a moderated mediation model. Frontiers in Psychology, 7, Article 1794. https://doi.org/10.3389/fpsyg.2016.01794
Lin, M. P. (2022). Avoidance/emotion‐focused coping mediates the relationship between distress tolerance and problematic Internet use in a representative sample of adolescents in Taiwan: one‐year follow‐up. Journal of Adolescence, 94(4), 600–610. https://doi.org/10.1002/jad.12049
Lin, M. P., Ko, H. C., & Wu, J. Y. W. (2008). The role of positive/negative outcome expectancy and refusal self-efficacy of Internet use on Internet addiction among college students in Taiwan. CyberPsychology & Behavior, 11(4), 451–457. https://doi.org/10.1089/cpb.2007.0121
Lin, M., Wu, J. Y., You, J., Hu, W., & Yen, C. (2018). Prevalence of Internet addiction and its risk and protective factors in a representative sample of senior high school students in Taiwan. Journal of Adolescence, 62(1), 38–46. https://doi.org/10.1016/j.adolescence.2017.11.004
Lin, Y. H., Chang, L. R., Lee, Y. H., Tseng, H. W., Kuo, T. B. J., & Chen, S. H. (2014). Development and validation of the Smartphone Addiction Inventory (SPAI). PLoS ONE, 9(6), Article e98312. https://doi.org/10.1371/journal.pone.0098312
Lin, Y. H., Pan, Y. C., Lin, S. H., & Chen, S. H. (2016). Development of short‐form and screening cutoff point of the Smartphone Addiction Inventory (SPAI‐SF). International Journal of Methods in Psychiatric Research, 26(2), Article e1525. https://doi.org/10.1002/mpr.1525
Montag, C., Lachmann, B., Herrlich, M., & Zweig, K. (2019). Addictive features of social media/messenger platforms and freemium games against the background of psychological and economic theories. International Journal of Environmental Research and Public Health, 16(14), Article 2612. https://doi.org/10.3390%2Fijerph16142612
Newzoo. (2021). Global mobile market report. https://newzoo.com/insights/trend- reports/newzoo-global-mobile-market-report-2021-free-version/
Nock, M. K., Wedig, M. M., Holmberg, E. B., & Hooley, J. M. (2008). The Emotion Reactivity Scale: development, evaluation, and relation to self-injurious thoughts and behaviors. Behavior Therapy, 39(2), 107–116. https://doi.org/10.1016/j.beth.2007.05.005
Olson, J. A., Sandra, D. A., Colucci, É. S., Al Bikaii, A., Chmoulevitch, D., Nahas, J., Raz, A., & Veissière, S. P. (2022). Smartphone addiction is increasing across the world: a meta-analysis of 24 countries. Computers in Human Behavior, 129, Article 107138. https://doi.org/10.1016/j.chb.2021.107138
Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556%2F2006.7.2018.49
Pearlin, L. I., & Schooler, C. (1978). The structure of coping. Journal of Health and Social Behavior, 2–21. https://doi.org/10.2307/2136319
Petraitis, J., Flay, B. R., & Miller, T. Q. (1995). Reviewing theories of adolescent substance use: organizing pieces in the puzzle. Psychological Bulletin, 117, 67–86. https://doi.org/10.1037/0033-2909.117.1.67
Ren, Y., Lin, M. P., Liu, Y. H., Zhang, X., Wu, J. Y. W., Hu, W. H., Xu, S., & You, J. (2018). The mediating role of coping strategy in the association between family functioning and nonsuicidal self‐injury among Taiwanese adolescents. Journal of Clinical Psychology, 74(7), 1246–1257. https://doi.org/10.1002/jclp.22587
Sunday, O. J., Adesope, O. O., & Maarhuis, P. L. (2021). The effects of smartphone addiction on learning: a meta-analysis. Computers in Human Behavior Reports, 4, 100114. https://doi.org/10.1016/j.chbr.2021.100114
Tarter, R. E., & Reynolds, M. D. (2022). Psychological antecedents and correlates of substance use and addiction. In M. M. Vanyukov (Eds.), Genetics of substance use (pp. 69–95). Springer, Cham. https://doi.org/10.1007/978-3-030-95350-8_3
Thompson, R. J., Mata, J., Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Gotlib, I. H. (2012). The everyday emotional experience of adults with major depressive disorder: examining emotional instability, inertia, and reactivity. Journal of Abnormal Psychology, 121(4), 819–829. https://doi.org/10.1037/a0027978
Ting, C. H., & Chen, Y. Y. (2020). Smartphone addiction. In C. A. Essau & P. H. Delfabbro (Eds.), Adolescent addiction: epidemiology, assessment, and treatment (pp. 215–240). Elsevier Academic Press. https://doi.org/10.1016/B978-0-12-818626-8.00008-6
Valentino, R. J., Lucki, I., & Van Bockstaele, E. (2010). Corticotropin-releasing factor in the dorsal raphe nucleus: linking stress coping and addiction. Brain Research, 1314, 29–37. https://doi.org/10.1016/j.brainres.2009.09.100
Walker, D. D., Neighbors, C., Rodriguez, L. M., Stephens, R. S., & Roffman, R. A. (2011). Social norms and self-efficacy among heavy using adolescent marijuana smokers. Psychology of Addictive Behaviors, 25(4), 727–732. https://doi.org/10.1037/a0024958
Yang, Z., Griffiths, M. D., Yan, Z., & Xu, W. (2021). Can watching online videos be addictive? A qualitative exploration of online video watching among Chinese young adults. International Journal of Environmental Research and Public Health, 18(14), Article 7247. https://doi.org/10.3390%2Fijerph18147247
You, J., & Leung, F. (2012). A Chinese adaptation of the Distress Tolerance Scale among adolescents: factor structure and psychometric properties. Journal of Psychopathology and Behavioral Assessment, 34, 136–144. https://doi.org/10.1007/s10862-011-9256-3
Young, R. M., Oei, T. P., & Crook, G. M. (1991). Development of a Drinking Self-Efficacy Questionnaire. Journal of Psychopathology and Behavioral Assessment, 13, 1–15. https://doi.org/10.1007/BF00960735