請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/97893完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張仁和 | zh_TW |
| dc.contributor.advisor | Jen-Ho Chang | en |
| dc.contributor.author | 施沛圻 | zh_TW |
| dc.contributor.author | Pei-Chi Shih | en |
| dc.date.accessioned | 2025-07-22T16:06:26Z | - |
| dc.date.available | 2025-07-23 | - |
| dc.date.copyright | 2025-07-22 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-07-17 | - |
| dc.identifier.citation | Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217-237. https://doi.org/10.1016/j.cpr.2009.11.004
Antoniac, L. D., Huțul, T. D., & Karner-Huțuleac, A. (2024). Emotion regulation, relationship satisfaction, and the moderating role of age: Findings and ethical implications. Journal of Intercultural Management and Ethics, 7(1), 43-54. https://doi.org/10.35478/j ime.2024.1.05 Barrett, L. F. (2009). The future of psychology: Connecting mind to brain. Perspectives on Psychological Science, 4(4), 326-339. https://doi.org/10.1111/j.1745-6924.2009.01134.x Barrett, L. F. (2017). The theory of constructed emotion: An active inference account of interoception and categorization. Social Cognitive and Affective Neuroscience, 12(1), 1-23. https://doi.org/10.1093/scan/nsw154 Ben-Naim, S., Hirschberger, G., Ein-Dor, T., & Mikulincer, M. (2013). An experimental study of emotion regulation during relationship conflict interactions: the moderating role of attachment orientations. Emotion, 13(3), 506. https://doi.org/10.1037/a0031473 Berke, D. S., Reidy, D., & Zeichner, A. (2018). Masculinity, emotion regulation, and psychopathology: A critical review and integrated model. Clinical Psychology Review, 66, 106-116. https://doi.org/10.1016/j.cpr.2018.01.004 Bloch, L., Haase, C. M., & Levenson, R. W. (2014). Emotion regulation predicts marital satisfaction: More than a wives’ tale. Emotion, 14(1), 130. https://doi.org/10.1037/a0034272 Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54(1), 579-616. https://doi.org/10.1146/annNbourev.psych.54.101601.145030 Butler, E. A. (2011). Temporal interpersonal emotion systems: The “TIES” that form relationships. Personality and Social Psychology Review, 15(4), 367–393. https://doi.org/10.1177/1088868311411164 Christov-Moore, L., Simpson, E. A., Coudé, G., Grigaityte, K., Iacoboni, M., & Ferrari, P. F. (2014). Empathy: Gender effects in brain and behavior. Neuroscience & Biobehavioral Reviews, 46, 604-627. https://doi.org/10.1016/j.neubiorev.2014.09.001 Dejonckheere, E., Mestdagh, M., Houben, M., Rutten, I., Sels, L., Kuppens, P., & Tuerlinckx, F. (2019). Complex affect dynamics add limited information to the prediction of psychological well-being. Nature Human Behaviour, 3(5), 478-491. https://doi.org/10.1038/s41562-019-0555-0 Erbas, Y., Ceulemans, E., Lee Pe, M., Koval, P., & Kuppens, P. (2014). Negative emotion differentiation: Its personality and well-being correlates and a comparison of different assessment methods. Cognition and Emotion, 28(7), 1196-1213. https://doi.org/10.1080/02699931.2013.875890 Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218. https://doi.org/10.1037/0003-066X.56.3.218 Fülöp, F., Bőthe, B., Gál, É. et al. A two-study validation of a single-item measure of relationship satisfaction: RAS-1. Current Psychology 41, 2109–2121 (2022). https://doi.org/10.1007/s12144-020-00727-y Gottman, J. M., & Levenson, R. W. (2000). The timing of divorce: Predicting when a couple will divorce over a 14‐year period. Journal of Marriage and Family, 62(3), 737-745. https://doi.org/10.1111/j.1741-3737.2000.00737.x Gottman, J. M., & Levenson, R. W. (2002). A two‐factor model for predicting when a couple will divorce: Exploratory analyses using 14‐year longitudinal data. Family Process, 41(1), 83-96. https://doi.org/10.1111/j.1545-5300.2002.40102000083.x Greenberg, L. S. (2004). Emotion–focused therapy. Clinical Psychology & Psychotherapy: An International Journal of Theory & Practice, 11(1), 3-16. https://doi.org/10.1002/cpp.388 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 Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85(2), 348. https://doi.org/10.1037/0022-3514.85.2.348 Hershfield, H. E., Scheibe, S., Sims, T. L., & Carstensen, L. L. (2013). When feeling bad can be good: Mixed emotions ben- efit physical health across adulthood. Social Psychological and Personality Science, 4, 54–61. https://doi.org/10. 1177/1948550612444616 Hoemann, K., Barrett, L. F., & Quigley, K. S. (2021). Emotional granularity increases with intensive ambulatory assessment: Methodological and individual factors influence how much. Frontiers in Psychology, 12, 704125. https://doi.org/10.3389/fpsyg.2021.704125 Johal, S. K., & Ferrer, E. (2024). Variation in emotion dynamics over time is associated with future relationship outcomes. Frontiers in Human Neuroscience, 18, 1331859. https://doi.org/10.3389/fnhum.2024.1331859 Kashdan, T. B., Barrett, L. F., & McKnight, P. E. (2015). Unpacking emotion differentiation: Transforming unpleasant experience by perceiving distinctions in negativity. Current Directions in Psychological Science, 24(1), 10-16. https://doi.org/10.1177/0963721414550708 Kenny, D.A., Kashy, D.A. and Cook, W.L. (2006) Dyadic data analysis. Guilford Press, New York. Klein, R. J., & Robinson, M. D. (2021). Signals and their detection: Basic perceptual sensitivity as a foundation for emotional clarity. Personality and Individual Differences, 180, 110991. https://doi.org/10.1016/j.paid.2021.110991 Kocyigit, M., & Uzun, M. (2025). Emotion regulation and couple burnout in marriage: A moderated moderation model of authenticity, sex of parents and having children. Current Psychology, 1-15. https://doi.org/10.1007/s12144-024-07253-1 Kuppens, P., Allen, N. B., & Sheeber, L. B. (2010). Emotional inertia and psychological maladjustment. Psychological Science, 21, 984–991. http://dx.doi.org/10.1177/0956797610372634 Kuppens, P. (2015). It’s about time: A special section on affect dynamics. Emotion Review, 7(4), 297-300. https://doi.org/10.1177/1754073915590947 Kuppens, P., & Verduyn, P. (2015). Looking at emotion regulation through the window of emotion dynamics. Psychological Inquiry, 26(1), 72–79. https://doi.org/10.1080/1047840X.2015.960505 Larsen, R. J., & Diener, E. (1987). Affect intensity as an individual difference characteristic: A review. Journal of Research in Personality, 21(1), 1-39. https://doi.org/10.1016/0092-6566(87)90023-7 Laurenceau, J. P., & Bolger, N. (2005). Using diary methods to study marital and family processes. Journal of Family Psychology, 19(1), 86. https://doi.org/10.1037/0893-3200.19.1.86 Levenson, R. W., Carstensen, L. L., & Gottman, J. M. (1994). Influence of age and gender on affect, physiology, and their interrelations: A study of long-term marriages. Journal of Personality and Social Psychology, 67(1), 56. https://doi.org/10.1037/0022-3514.67.1.56 Lischetzke, T., & Eid, M. (2017). The functionality of emotional clarity: A process-oriented approach to understanding the relation between emotional clarity and well-being. The Happy Mind: Cognitive Contributions to Well-Being, 371-388. https://doi.org/10.1007/978-3-319-58763-9_20 Luginbuehl, T., & Schoebi, D. (2020). Emotion dynamics and responsiveness in intimate relationships. Emotion, 20(2), 133. https://doi.org/10.1037/emo0000540 Nezlek, J. B. (2012). Multilevel modeling analyses of diary-style data. Handbook of Research Methods for Studying Daily Life, 676, 357-383. The Guilford Press. Niedenthal, P. M., Mermillod, M., Maringer, M., & Hess, U. (2010). The Simulation of Smiles (SIMS) model: Embodied simulation and the meaning of facial expression. Behavioral and Brain Sciences, 33(6), 417-433. https://doi.org/10.1017/S0140525X10000865. Nolen-Hoeksema, S. (2012). Emotion regulation and psychopathology: The role of gender. Annual Review of Clinical Psychology, 8(1), 161-187. https://doi.org/10.1146/annurev-clinpsy-032511-143109 Oh, V. (2022). Torn between valences: Mixed emotions predict poorer psychological well-being and job burnout. Journal of Happiness Studies, 1-30. https://doi.org/10.1007/s10902-021-00493-z Oh, V. Y., & Tong, E. M. (2022). Specificity in the study of mixed emotions: A theoretical framework. Personality and Social Psychology Review, 26(4), 283-314. https://doi.org/10.1177/10888683221083398 Quoidbach, J., Gruber, J., Mikolajczak, M., Kogan, A., Kotsou, I., & Norton, M. I. (2014). Emodiversity and the emotional ecosystem. Journal of experimental psychology: General, 143(6), 2057. https://doi.org/10.1037/a0038025 Palmer, C. A., & Alfano, C. A. (2017). Sleep and emotion regulation: An organizing, integrative review. Sleep Medicine Reviews, 31, 6-16. https://doi.org/10.1016/j.smrv.2015.12.006 Palmer, C. A., Bower, J. L., Cho, K. W., Clementi, M. A., Lau, S., Oosterhoff, B., & Alfano, C. A. (2024). Sleep loss and emotion: A systematic review and meta-analysis of over 50 years of experimental research. Psychological Bulletin, 150(4), 440. https://doi.org/10.1037/bul0000410 Rees, L., Rothman, N. B., Lehavy, R., & Sanchez-Burks, J. (2013). The ambivalent mind can be a wise mind: Emotional ambivalence increases judgment accuracy. Journal of Experimental Social Psychology, 49(3), 360-367. https://doi.org/10.1016/j.jesp.2012.12.017 Reis, H. T., & Gable, S. L. (2000). Event-sampling and other methods for studying everyday experience. Cambridge University Press. Rusu, P. P., Apostu, M. N., Turliuc, M. N., & Hilpert, P. (2023). Positive, but not negative emotions, predict intimacy in couple relationships: A daily diary study. Current Psychology, 42(31), 27758-27770. https://doi.org/10.1007/s12144-022-03756-x Samios, C., & Khatri, V. (2019). When times get tough: Savoring and relationship satisfaction in couples coping with a stressful life event. Anxiety, Stress, & Coping, 32(2), 125-140. https://doi.org/10.1080/10615806.2019.1570804 Schönbrodt, F. D., Zygar-Hoffmann, C., Nestler, S., Pusch, S., & Hagemeyer, B. (2021). Measuring motivational relationship processes in experience sampling: A reliability model for moments, days, and persons nested in couples. Behavior Research Methods, 1-20. https://doi.org/10.3758/s13428-021-01701-7 Seah, T. S., Aurora, P., & Coifman, K. G. (2020). Emotion differentiation as a protective factor against the behavioral consequences of rumination: A conceptual replication and extension in the context of social anxiety. Behavior Therapy, 51(1), 135-148. https://doi.org/10.1016/j.beth.2019.05.011 Sels, L., Cabrieto, J., Butler, E., Reis, H., Ceulemans, E., & Kuppens, P. (2020). The occurrence and correlates of emotional interdependence in romantic relationships. Journal of personality and social psychology, 119(1), 136. https://doi.org/10.1037/pspi0000212 Shafir, R., Thiruchselvam, R., Suri, G., Gross, J. J., & Sheppes, G. (2016). Neural processing of emotional-intensity predicts emotion regulation choice. Social Cognitive and Affective Neuroscience, 11(12), 1863-1871. https://doi.org/10.1093/scan/nsw114 Sheppes, G., Scheibe, S., Suri, G., & Gross, J. J. (2011). Emotion-regulation choice. Psychological Science, 22(11), 1391-1396. https://doi.org/10.1177/0956797611418350 Smidt, K. E., & Suvak, M. K. (2015). A brief, but nuanced, review of emotional granularity and emotion differentiation research. Current Opinion in Psychology, 3, 48-51. https://doi.org/10.1016/j.copsyc.2015.02.007 Tomaso, C. C., Johnson, A. B., & Nelson, T. D. (2021). The effect of sleep deprivation and restriction on mood, emotion, and emotion regulation: Three meta-analyses in one. Sleep, 44(6), zsaa289.https://doi.org/10.1093/sleep/zsaa289 Tugade, M. M., Fredrickson, B. L., & Feldman Barrett, L. (2004). Psychological resilience and positive emotional granularity: Examining the benefits of positive emotions on coping and health. Journal of Personality, 72(6), 1161-1190. https://doi.org/10.1111/j.1467-6494.2004.00294.x Urban-Wojcik, E. J., Mumford, J. A., Almeida, D. M., Lachman, M. E., Ryff, C. D., Davidson, R. J., & Schaefer, S. M. (2022). Emodiversity, health, and well-being in the Midlife in the United States (MIDUS) daily diary study. Emotion, 22(4), 603. https://doi.org/10.1037/emo0000753 Velotti, P., Balzarotti, S., Tagliabue, S., English, T., Zavattini, G. C., & Gross, J. J. (2016). Emotional suppression in early marriage: Actor, partner, and similarity effects on marital quality. Journal of Social and Personal Relationships, 33(3), 277-302. https://doi.org/10.1177/0265407515574466 Verduyn, P., Mechelen, I. V., & Frederix, E. (2012). Determinants of the shape of emotion intensity profiles. Cognition & Emotion, 26(8), 1486-1495.277-302. https://doi.org/10.1080/02699931.2012.662152 Weber, E., & Hülür, G. (2021). Affect contagion in daily life is mediated by perceptions of partner affect: An experience-sampling study with older couples. Emotion, 21(8), 1699. https://doi.org/10.1037/emo0001043 Werner-Seidler, A., Hitchcock, C., Hammond, E., Hill, E., Golden, A. M., Breakwell, L., Ramana, R., Moore, R., & Dalgleish, T. (2020). Emotional complexity across the life story: Elevated negative emodiversity and diminished positive emodiversity in sufferers of recurrent depression. Journal of Affective Disorders, 273, 106-112. https://doi.org/10.1016/j.jad.2020.04.060 Wrzus, C., & Neubauer, A. B. (2023). Ecological momentary assessment: A meta-analysis on designs, samples, and compliance across research fields. Assessment, 30(3), 825-846. https://doi.org/10.1177/10731911211067538 Yuan, Q., Fan, Z., & Leng, J. (2022). The effect of emotional reactivity on marital quality in Chinese couples: The mediating role of perceived partner responsiveness. Frontiers in Psychology, 12, 787899. https://doi.org/10.3389/fpsyg.2021.787899 Zaki, J., & Williams, W. C. (2013). Interpersonal emotion regulation. Emotion, 13(5), 803–810. https://doi.org/10.1037/a0033839 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/97893 | - |
| dc.description.abstract | 本研究結合經驗取樣法與行動者—伴侶相依模式（Actor–Partner Interdependence Model, APIM），以探討情侶在日常互動中情緒經驗對關係適應的雙向影響。研究共招募91對異性戀情侶（共182名參與者），於連續十四日每日填答兩次問卷，共計二十八筆資料點。問卷內容包含正向與負向情緒分數、關係滿意度；其中情緒強度與情緒多元性根據每日情緒分數計算得出，以指標化個體在當日的情緒經驗特性。透過行動者—伴侶相依模型分析發現：（一）不分性別，情緒強度可穩定預測自身的關係滿意度，其中男性的情緒強度亦能顯著預測伴侶的關係適應；（二）男性的負向情緒多元性可正向預測其自身關係滿意度；（三）正向情緒強度與正向情緒多元性呈顯著交互作用，當正向情緒強度較高時，正向情緒多元性與關係滿意度呈負向關聯；（四）延遲預測結果顯示，部分情緒指標具跨時間穩定預測力，並呈現性別差異。研究結果顯示情緒多元性及其與強度的交互作用在關係適應中扮演重要角色，以及其中潛在的性別差異。透過日常生活中的經驗取樣與APIM分析，本研究得以捕捉情侶互動的即時變化與共構歷程，對動態情緒調節之理論建構與關係研究方法論提供實證貢獻。 | zh_TW |
| dc.description.abstract | The research integrated the Experience Sampling Method (ESM) with the Actor–Partner Interdependence Model (APIM) to explored the dynamic emotion regulation and intimacy in romantic relationships. The study recruited 91 heterosexual couples (182 participants). They completed daily surveys twice a day over 14 days, reporting on their positive and negative affect scores, and relationship satisfaction. Emotional intensity and emodiversity were calculated from daily affect scores. APIM analysis revealed: (1) emotional intensity predicted individual’s own relationship satisfaction, with men’s intensity also predicting their partners’ outcomes; (2) Men’s negative emodiversity positively predicted their own relationship outcomes; (3) A significant interaction indicated that high positive intensity combined with greater positive emodiversity predicted lower satisfaction; (4) Lagged analyses further revealed that certain emotional features stably predicted relationship outcomes across time, with notable gender differences. These findings highlight the importance of emodiversity and gender-specific patterns in daily intimacy processes, while illustrating the utility of experience sampling and dyadic modeling for capturing emotional dynamics in real life. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-07-22T16:06:26Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-07-22T16:06:26Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 摘要 i
Abstract ii 目次 iii 表次 v 圖次 vi 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 研究參與者 10 第二節 研究程序 10 第三節 研究工具 11 第四節 分析程序 12 第三章 研究結果 15 第一節 第一階層：情緒與伴侶適應指標之相關 15 第二節 第二階層：情緒對伴侶適應之跨伴侶預測（APIM模型） 17 第四章 討論 33 第一節 綜合討論 33 第二節 研究限制與未來建議 39 第三節 結論 40 參考文獻 41 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 情緒多元性 | zh_TW |
| dc.subject | 經驗取樣 | zh_TW |
| dc.subject | 行動者—伴侶相依模式 | zh_TW |
| dc.subject | 關係滿意度 | zh_TW |
| dc.subject | 情緒多元性 | zh_TW |
| dc.subject | 動態性情緒調節 | zh_TW |
| dc.subject | 經驗取樣 | zh_TW |
| dc.subject | 行動者—伴侶相依模式 | zh_TW |
| dc.subject | 關係滿意度 | zh_TW |
| dc.subject | 動態性情緒調節 | zh_TW |
| dc.subject | dynamic emotion regulation | en |
| dc.subject | experience sampling method | en |
| dc.subject | Actor–Partner Interdependence Model | en |
| dc.subject | satisfaction | en |
| dc.subject | dynamic emotion regulation | en |
| dc.subject | emodiversity | en |
| dc.subject | satisfaction | en |
| dc.subject | Actor–Partner Interdependence Model | en |
| dc.subject | experience sampling method | en |
| dc.subject | emodiversity | en |
| dc.title | 動態性情緒調節與伴侶適應分析：行動者─伴侶相依模式之經驗取樣研究 | zh_TW |
| dc.title | Dynamic Emotion Regulation and Intimacy in Romantic Relationships: An Actor–Partner Interdependence Model-Based Experience Sampling Approach | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 林耀盛 | zh_TW |
| dc.contributor.coadvisor | Yaw-Sheng Lin | en |
| dc.contributor.oralexamcommittee | 周玉慧;李怡真 | zh_TW |
| dc.contributor.oralexamcommittee | Yuh-Huey Jou;Yi-Chen Lee | en |
| dc.subject.keyword | 動態性情緒調節,情緒多元性,關係滿意度,行動者—伴侶相依模式,經驗取樣, | zh_TW |
| dc.subject.keyword | dynamic emotion regulation,emodiversity,satisfaction,Actor–Partner Interdependence Model,experience sampling method, | en |
| dc.relation.page | 50 | - |
| dc.identifier.doi | 10.6342/NTU202501915 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-07-19 | - |
| dc.contributor.author-college | 理學院 | - |
| dc.contributor.author-dept | 心理學系 | - |
| dc.date.embargo-lift | 2025-07-23 | - |
| 顯示於系所單位： | 心理學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf 授權僅限NTU校內IP使用（校園外請利用VPN校外連線服務） | 2.75 MB | Adobe PDF |
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。