行動者與夥伴相互依賴模式之評析及其對體育運動研究的應用

The instruction of dyadic data and actor-partner interdependence model in sport and exercise science

10.6222/pej.201906_52(2).0001

林瑋芳(Wei-Fang Lin)

行動者與夥伴相互依賴模型 ； 對偶資料 ； 行動者效果 ； 夥伴效果 ； actor-partner interdependence model ； dyadic data ； actor effect ； partner effect

體育學報

52卷2期（2019 / 06 / 01）

145 - 156

繁體中文

每個人都生活在關係聯結的社會脈絡中，個體影響著他人，同時也被他人影響著。對偶資料即是針對關係中成員的非獨立性，所發展的資料結構概念，具有巢狀式階層結構的特徵。對偶資料的概念和行動者與夥伴相互依賴模式（actor-partner interdependence model, APIM）應用分析模型，經Daivd A. Kenny的戮力發展與積極推廣，在社會行為科學領域越來越受到重視，應用層面極為廣泛，諸如人際關係、組織管理、品牌經營、心理健康、教育學習等。但在體育相關領域起步則相對較晚，尚有待更多研究者的積極投入。本文的目的，即在提供對偶資料概念與APIM分析模型的基礎介紹。文章首先說明對偶資料的非獨立性特徵與階層結構之基本概念，進一步介紹行動者與夥伴相互依賴模式，針對行動者效果和夥伴效果詳細說明，期能奠定讀者對對偶資料與APIM的初步認識。後續介紹對偶資料與APIM在體育與運動科學相關領域的應用研究，並提供未來研究可能的方向和建議，期能達到拋磚引玉的效果，豐富整個領域對人際交互影響歷程的認識和瞭解。

The importance of dyadic data and actor-partner interdependence model (APIM) is well established in social and behavioral science. However, sport scientists have paid much less attention on dyadic data and its analysis strategy. The main purpose of this article is to provide a basic introduction of dyadic data and APIM. It started from the key features of dyadic data, nonindependence and the nested data structure. Following by the introduction of APIM and how it works in indistinguishable and distinguishable dyads. The author also discussed how dyadic data analysis has been applied in sport psychology and the direction for the future study.

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