| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1. 介紹在運動健康研究中常見的各種資料分析方法及適用時機。
2. 學習各種資料分析方法、實際操作及以繪製圖表呈現分析結果。
3. 能解讀、評析運動健康期刊論文的量化分析結果。
|
|
|
| Exercises |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Attendance |
| Oral Presentation |
| Internship |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction: Data Analysis in Exercise and Health using IBM SPSS |
| Week 2 |
Hypothesis testing and t-tests |
| Week 3 |
One-way ANOVA |
| Week 4 |
One-way repeated ANOVA |
| Week 5 |
Two-way ANOVA |
| Week 6 |
Two-way mixed-design ANOVA |
| Week 7 |
Analysis of Covariance (ANCOVA) |
| Week 8 |
Mid-term exam.: presentation and discussion |
| Week 9 |
Pearson and Spearman correlation tests |
| Week 10 |
Chi-square test |
| Week 11 |
Linear regression (1): Simple linear regression |
| Week 12 |
Linear regression (2): Dummy variables and multivariable adjustment |
| Week 13 |
Linear regression (3): Forward, Backward and Stepwise |
| Week 14 |
Logistic regression |
| Week 15 |
Power estimation and sample size |
| Week 16 |
Final exam.: presentation and discussion |
self-directed
learning |
03.Preparing presentations or reports related to industry and academia.
Flexible learning: Completion of the online self-learning program and submission of the learning report |
|
| Evaluation |
出席狀況 (25%)
課堂討論 (25%)
期中報告 (25%)
期末報告 (25%) |
| Textbook & other References |
| Pallant, J (2020). SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS (7th ed.), London: Routledge. |
| Teaching Aids & Teacher's Website |
| 請至e-campus自行下載相關上課講義 |
| Office Hours |
Tuesday 10:00-12:00
|
| Sustainable Development Goals, SDGs(Link URL) |
| 03.Good Health and Well-Being | include experience courses：N |
|