本研究目的探討結構方程模式在2004-2010體育運動領域論文。希望透過潛在成長模式分析、歸納、整理，瞭解體育運動領域2004-2010年應用結構方程模式（structural equation modeling, SEM）發表之論文。研究結果發現2004-2010體育領域SEM論文應用分析共計有192篇，在體育領域逐年大幅成長的趨勢，從2004年體育領域SEM 6篇逐年成長到2010年50篇，每年體育期刊論文數的平均成長0.30篇，近年來本國體育領域運用SEM研究逐年成長。SEM論文優於傳統的第一代統計技術，增加了研究的信效。而SEM估計潛在變數之間的優勢是優於傳統統計技術。SEM相關書籍大量出版與SEM論文快速成長，顯示SEM是一門發展成熟的統計方法學。針對本研究發現，提供未來研究在研究設計、SEM運用程式等的實用建議，以作為體育領域學者應用SEM研究的參考。

This study was aimed to explore the application of Structural Equation Modeling (SEM) in the researches relevant with the field of athletic conducted from 2004 to 2010. Through the analysis and conclusion based on the latent growth curve model (LGM), it was hoped to better comprehend all these papers from 2004 to 2010 with SEM application. It was shown that a total of 192 SEM-applied athletic papers were produced during this certain period of time. There were only six SEM papers in 2004. Within these six years, it was increased to 50 papers a year in 2010. This was a tremendous growth in the quantities of papers SEM-applied in athletic fields, averagely increasing 0.3 paper year by year. SEM-applied papers had exceeding reliability and validity compared to those with conventional statistical methods. Moreover, the estimation of latent variables was the other strength of SEM. Many reference books related to SEM were continuously published. With a rapid increase in the theories underlying SEM, it was proved that SEM is a sophistically-developed statistical methodology. The findings and suggestions of this research can be referenced by other athletic related researches in research design and the application of SEM.