潛在成長模式在體育運動領域之應用

Applications of Latent Growth Modeling in Physical Education and Sports

徐茂洲(Mao-Chou Hsu)

《大專體育》 135期 (2015/12) Pp. 53-66

https://doi.org/10.6162/SRR.2015.135.05

摘要

潛在成長模式逐漸受到體育領域重視，未來在體育運動領域也將有越來越多學者投入潛在成長模式的應用。因此本文的主要內容將分別探討潛在成長模式在研究設計上的要求、在實務上應用較為廣泛的模型以及潛在成長模式在體育運動研究領域應用的概況。本研究目的是探討潛在成長模式在體育領域相關論文，希望透過分析、歸納、整理等方法，瞭解體育領域應用潛在成長模式發表之論文。並介紹潛在成長模式與傳統變異數分析、多元迴歸分析、多層次成長分析等的差別、潛在成長模式介紹、潛在成長模式在研究設計上的要求。本研究結語：近年來體育運動相關的國內及國際學術期刊對研究方法論日益重視，身為體育運動的學術研究者，除了需要與時俱進的瞭解相關統計分析技術的進步之外，更重要的是具備統計分析方法的正確應用時機。經由本文相關的文獻分析，研究者希冀體育領域學者透過本文能知悉潛在成長模式種類與理論探討。

關鍵字

縱斷面 ； 截距因子 ； 斜率因子

並列摘要

Latent growth modeling has been receiving attention as a methodology for use in sports-related research. In the future, more and more scholars in sports will apply a latent growth model within their research. Therefore, this article focuses on the research design requirements of latent growth modeling and the widely used models in practice, and provides an overview of latent growth modeling as applied to sports research. The purpose of this article is to explore the applications of latent growth model in the field of physical exercise. Through the analysis, induction, and organization of published papers, hopefully we may understand more about its application within the field of physical exercise. Furthermore, this paper compares the differences in research design among four models: the latent growth model, traditional variance analysis, multiple regression analysis, and multilevel growth analysis. This paper concludes that recently the domestic and international academic journals in sports have been paying more and more attention to research methodology. A sports researcher should be equipped with the correct statistical applications, in addition to understanding the progress of those related statistical techniques. After reviewing the relevant literature, we hope that the scholars in physical exercise will become familiar with this growth model and its theoretical interpretations.

並列關鍵字

longitudinal ； intercept ； slope factor

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