Speaker: Steve Ying-Chu Chen, Ph.D. Candidate
Good afternoon, everyone.
I am Steve Ying-Chu Chen, a Ph.D. Candidate here in the Department of Physical Education and Sport Science at National Taiwan Normal University.
Today, we are diving into the backbone of everything we do as researchers: Experimental Design and Analysis.
In our field, we often deal with the most complex variable of all—the human body in motion. Whether we are measuring physiological thresholds or cognitive responses to exercise, the noise in our data can be deafening. That is why a robust experimental design isn't just a 'requirement' for graduation; it is the only tool we have to separate signal from noise, and anecdote from evidence.
In this presentation, I will move beyond basic T-tests and ANOVA. We will explore how advanced design principles—such as controlling for confounding variables, proper randomization, and selecting the correct mixed-effects models—can rescue a study from obscurity.
We often hear that 'data speaks for itself.' I argue that data only speaks if the design gives it a voice. Let’s look at how we can structure our experiments to ensure that voice is clear, reproducible, and scientifically significant.
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陳映竹！ (Chen, Ying-Chu)，Ph.D. candidate, M.S., M.A., CSCS*D, ACSM-CEP
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陳映竹同時擁有臺師大國際漢學研究所文學碩士，以及臺北市立大學運動健康科學系理學碩士。目前為臺師大體育與運動科學博士候選人。並且擁有美國運動醫學會臨床運動生理師以及私人教練認證！希冀透過平台持續推廣運動與健康科學相關知識，以及肌力與體能相關訓練理論及實務，並提供個人跨領域與教練自我成長歷程，讓有志從事教練產業以及斜槓工作者有所依循。
（本文為運動科學科普以及科學知識宣導性質，並非醫療建議或者針對個人之運動專屬建議！若您有任何相關障礙或者病症問題，請洽詢醫療專業人員，以獲得最佳協助與建議！另外，實際個人化健身運動計畫，亦請依個人身體狀況並與醫療照護專業人員討論後指導調整。運科竹祝各位都能擁有優質健康生活！）
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