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

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。

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.