Statistical Analysis in Exercise Science – EXSC 520
CG • Section 8WK • 11/08/2019 to 04/16/2020 • Modified 07/28/2020
This course targets the development of understanding in statistical methodology as it relates to the field of exercise science. Students will be able to summarize, analyze, and interpret data using descriptive and inferential statistics.
The ability to comprehend, correctly analyze, and interpret data is essential for conducting and critiquing scientific literature. As a profession, exercise scientists are required to provide their vocational services in an evidence-based manner, which requires a complete understanding of the current academic research as well as the statistical methods used to conduct that research.
Measurable Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Communicate effectively in the field of exercise science.
- Evaluate exercise science-related programming.
- Apply statistical techniques and theories to exercise science-related data sets.
- Differentiate between various statistical methods and select the most appropriate test for the data and desired analysis.
- Integrate statistical theory into practical circumstances.
Textbook readings and presentations
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in Module/Week 1.
Discussion Board Forums (2)
Discussion boards are collaborative learning experiences.
The student is required to provide a thread in response to the provided prompt for each forum. Each thread must be at least 500 words, demonstrate course-related knowledge, integrate 1 biblical principle, and provide a total of 2 citations from any of the following sources: peer-reviewed journal articles, published textbooks, or publications directly associated with the content being discussed (requires prior approval from the instructor).
In addition to the thread, the student is required to reply to 2 other classmates’ threads. Each reply must be at least 250 words and include at least 1 citation from any of the same types of sources as those approved for the thread.
Case Studies (6)
Each case study will cover the Reading & Study material for the module/week in which it is assigned. Each case study will contain a practical scenario for which the student will perform the statistical analysis in SPSS, determine the outcome of the performed analysis (providing p-value(s) and an explanation of whether the finding(s) is/are significant), and explain the meaning of the outcome in relation to the stated scenario.
Each quiz will cover the Reading & Study material for the beginning of the semester (Quiz 1) or since the last quiz (Quiz 2).