請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/8384
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 張仁和(Jen-Ho Chang) | |
dc.contributor.author | He-Ming Liao | en |
dc.contributor.author | 廖禾銘 | zh_TW |
dc.date.accessioned | 2021-05-20T00:53:17Z | - |
dc.date.available | 2020-08-06 | |
dc.date.available | 2021-05-20T00:53:17Z | - |
dc.date.copyright | 2020-08-06 | |
dc.date.issued | 2020 | |
dc.date.submitted | 2020-07-28 | |
dc.identifier.citation | 傅仰止(2018):台灣社會變遷基本調查計畫2017第七期第三次:網路與社會資源組(C00339_2)【原始數據】取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。 林珍汝、賴振元(2020):教育部調查,1/3青少年沉迷智慧型手機。公視新聞網。取自:https://news.pts.org.tw/article/464301 邱宜君(2019):養護機構銀髮族,玩平板好處多。udn元氣網。取自:https://health.udn.com/health/story/6039/4070706 劉秀枝(2014):老年人上網好處多。udn元氣網。取自:https://health.udn.com/health/story/7392/559979 黃嬿(2020):網路黑洞大學生也難逃,研究:過度上網學習動機與技能都變差。科技新報。取自:https://technews.tw/2020/01/20/internet-addiction-impact-learning-ability/ 財團法人台灣網路資訊中心(2019):2019台灣網路報告。取自:https://report.twnic.tw/2019/ Anglim, J., Horwood, S., Smillie, L. D., Marrero, R. J., Wood, J. K. (2020). Predicting psychological and subjective well-being from personality: A meta-analysis. Psychological Bulletin, 146, 279-323. Carstensen, L. L. (1992). Social and emotional patterns in adulthood: Support for socioemotional selectivity theory. Psychology and Aging, 7, 331-338. Carstensen, L. L., Fung, H. H., Charles, S. T. (2003). Socioemotional selectivity theory and the regulation of emotion in the second half of life. Motivation and Emotion, 27, 103-123. Cotten, S. R., Ford, G., Ford, S., Hale, T. M. (2012). Internet use and depression among older adults. Computers in Human Behavior, 28, 496-499. Chopik, W. J. (2016). The benefits of social technology use among older adults are mediated by reduced loneliness. Cyberpsychology, Behavior, and Social Networking, 19, 551-556. Diener, E., Suh, E. M., Lucas, R. E., Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125, 276-302. Diener, E., Seligman, M. E. P., Choi, H., Oishi, S. (2018). Happiest people revisited. Perspectives on Psychological Science, 13, 176-184. Hertzog, C., Kramer, A. F., Wilson, R. S., Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced?. Psychological Science in the Public Interest, 9(1), 1-65. Heo, J., Chun, S., Lee, S., Lee, K. H., Kim, J. (2015). Internet use and well-being in older adults. Cyberpsychology, Behavior, and Social Networking, 18, 268-272. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford publications. Hanna, E., Ward, L. M., Seabrook, R. C., Jerald, M., Reed, L., Giaccardi, S., Lippman, J. R. (2017). Contributions of social comparison and self-objectification in mediating associations between Facebook use and emergent adults' psychological well-being. Cyberpsychology, Behavior, and Social Networking, 20, 172-179. Hülür, G., Macdonald, B. (2020). Rethinking social relationships in old age: Digitalization and the social lives of older adults. American Psychologist, 75, 554-566. Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being?. American Psychologist, 53, 1017-1031. Kujath, C. L. (2011). Facebook and MySpace: Complement or substitute for face-to-face interaction?. Cyberpsychology, Behavior, and Social Networking, 14, 75-78. Lucas, R. E., Diener, E., Suh, E. (1996). Discriminant validity of well-being measures. Journal of Personality and Social Psychology, 71, 616-628. Morahan-Martin, J., Schumacher, P. (2003). Loneliness and social uses of the Internet. Computers in Human Behavior, 19, 659-671. Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9, 1-15. Przybylski, A. K., Weinstein, N. (2017). A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychological Science, 28, 204-215. Ransdell, S., Kent, B., Gaillard‐Kenney, S., Long, J. (2011). Digital immigrants fare better than digital natives due to social reliance. British Journal of Educational Technology, 42, 931-938. Ryan, R. M., Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68-78. Shapira, N. A., Goldsmith, T. D., Keck Jr, P. E., Khosla, U. M., McElroy, S. L. (2000). Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders, 57, 267-272. Steel, P., Schmidt, J., Shultz, J. (2008). Refining the relationship between personality and subjective well-being. Psychological Bulletin, 134, 138-161. Talley, A. E., Kocum, L., Schlegel, R. J., Molix, L., Bettencourt, B. A. (2012). Social roles, basic need satisfaction, and psychological health: The central role of competence. Personality and Social Psychology Bulletin, 38, 155-173. Twenge, J. M. (2019). More time on technology, less happiness? Associations between digital-media use and psychological well-being. Current Directions in Psychological Science, 28, 372-379. Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., ... Kross, E. (2015). Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General, 144, 480-488. Waytz, A., Gray, K. (2018). Does online technology make us more or less sociable? A preliminary review and call for research. Perspectives on Psychological Science, 13, 473-491. Yang, Y., Land, K. C. (2006). A mixed models approach to the age-period-cohort analysis of repeated cross-section surveys, with an application to data on trends in verbal test scores. Sociological Methodology, 36, 75-97. Young, K. S., Rogers, R. C. (1998). The relationship between depression and Internet addiction. Cyberpsychology Behavior, 1, 25-28. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/8384 | - |
dc.description.abstract | 以往研究對於網路使用時間對身心適應的影響結果並不一致,據此,本研究先分析網路使用時間與身心適應的整體性關係,再探討年齡對於網路使用時間與身心適應(身體狀態、情緒面向的主觀幸福感、認知上的生活滿意度)間關係的影響,並且以社會情緒選擇理論(Socioemotional selectivity theory)探討造成此差異的可能機制,認為個體是否能從網路使用中獲得人際需求的滿足會由個體年齡所設定的需求目標決定,此需求滿足的狀況會表徵在個體知覺的孤獨感上進而影響身心適應結果。本研究透過2017年社會變遷資料以全臺灣代表性成年人參與者共1,955人進行分析,結果與原先預測大致符合:首先,網路使用時間與身心適應並非線性關係,而是接近倒U曲線關係;其次,年齡調節網路使用時間與身心適應間的關係,對於青壯年而言兩者為負相關,但在高齡者則無顯著關聯。在機制方面,網路使用增加確實透過孤獨感增加而負向影響身心適應,且此路徑亦受到年齡調節,對青壯年而言,網路使用使孤獨感增加進而使身心適應結果下降,而對高齡者而言網路使用則不會顯著影響孤獨感的增加,身心適應也不會因此下降。此研究結果提供目前網路使用影響的整合性看法,可以作為未來網路使用策略與推廣的參考。 | zh_TW |
dc.description.abstract | Previous studies indicated inconsistent findings on the relationship between internet usage and well-being. Therefore, the current study focuses on the relationship between internet usage time and well-being, and then investigate the moderated role of age in this association. Based on the socioemotional selectivity theory, implies that whether a person can satisfy his/her relatedness needs through internet lies in goals set under his/her age, and perceived loneliness can represent the degree of relatedness satisfaction and consequently influence one’s well-being. The present study analyses 1955 adult participants collected in 2017 Taiwan Social Change Survey, and the results are mostly consistent with our predictions: (1) The relationship between internet usage time and well-being demonstrated a reversed-U association instead of a linear association. (2) Age moderates the relationship between internet usage time and well-being: a negative correlation for younger adults and none significant correlation for older adults. (3) Loneliness mediates the relationship between internet usage time and well-being, and age moderated this mediation path, indicating a moderated-mediation effect. Our findings provide an integrated view of internet use, implications and limitation are discussed. | en |
dc.description.provenance | Made available in DSpace on 2021-05-20T00:53:17Z (GMT). No. of bitstreams: 1 U0001-2707202015141700.pdf: 1642607 bytes, checksum: afc992727a012d599b69ceb4719d156f (MD5) Previous issue date: 2020 | en |
dc.description.tableofcontents | 第一章 緒論…………………………………………………………………………1 第一節 研究動機………………………………………………………………1 第二節 文獻回顧………………………………………………………………2 第三節 研究假設………………………………………………………………7 第二章 研究方法……………………………………………………………………10 第一節 資料來源………………………………………………………………10 第二節 變數選擇與資料整理…………………………………………………10 第三節 分析方法………………………………………………………………14 第三章 研究結果…………………………………………………………………15 第一節 描述統計……………………………………………………………15 第二節 網路使用時間與心理適應的曲線關聯探討………………………15 第三節 年齡、網路使用時間與身心適應之調節與中介分析……………22 第四節 年齡對網路使用時間、孤獨感、身心適應調節化中介分析……26 第四章 討論………………………………………………………………………29 第一節 綜合討論……………………………………………………………29 第二節 研究限制與未來建議………………………………………………31 第三節 結論…………………………………………………………………32 參考文獻……………………………………………………………………………33 | |
dc.language.iso | zh-TW | |
dc.title | 網路成癮或是成長?年齡對網路使用時間與身心適應之調節效果 | zh_TW |
dc.title | Investigating the Moderating Effect of Age on Internet Usage Time and Well-being | en |
dc.type | Thesis | |
dc.date.schoolyear | 108-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 鄭伯壎(Bor-Shiuan Cheng) | |
dc.contributor.oralexamcommittee | 郭郡羽(Chun-Yu Kuo),廖邕(Yung Liao) | |
dc.subject.keyword | 網路成癮,網路使用,身心適應,社會情緒選擇理論,高齡, | zh_TW |
dc.subject.keyword | internet addiction,internet usage,well-being,socioemotional selectivity theory,older adults, | en |
dc.relation.page | 36 | |
dc.identifier.doi | 10.6342/NTU202001912 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2020-07-29 | |
dc.contributor.author-college | 理學院 | zh_TW |
dc.contributor.author-dept | 心理學研究所 | zh_TW |
顯示於系所單位: | 心理學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
U0001-2707202015141700.pdf | 1.6 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。