At the conclusion of this course, the student should be able to:
1. Recognize common study designs within Kinesiology and 
determine the most appropriate study design for a given research 
question. 
2. Select the appropriate descriptive statistic for a situation, 
calculate it by hand and/or obtain it by using a computer, and 
interpret it correctly.
3. Describe why prediction/regression techniques are used in 
exercise science.
4. Analyze Kinesiology research data with prediction/regression 
techniques using a computer, and interpret and report the output 
from the computer correctly.
5. Calculate, explain, and interpret reliability and validity of 
common Kinesiology clinical tests.
6. Critically review and critique peer-reviewed literature 
within Kinesiology.

1. Study design and research questions
2. Descriptive statistics selection and calculation, introduction 
to SPSS
3. Correlation and prediction/regression techniques and  
calculations
4. Reliability and validity techniques and calculations
5. Critical review of peer-reviewed Kinesiology research

Students in this course are expected to conform to the UGA 
Student Honor Code: "I will be academically honest in all of my 
academic work and will not tolerate academic dishonesty of 
others." Academic honesty means performing all academic work 
without plagiarism, cheating, lying, tampering, stealing, 
receiving unauthorized or illegitimate assistance from any other 
person, or using any sources of information that is not common 
knowledge. Students who assist other students in academically 
dishonest acts are in violation of the policy. Consequences of 
academic dishonesty may vary from receiving a lower grade to 
expulsion from the University. As a University of Georgia 
student, you have agreed to abide by the University’s academic 
honesty policy, “A Culture of Honesty,” and the Student Honor 
Code. All academic work must meet the standards described in “A 
Culture of Honesty” found at: https://ovpi.uga.edu/academic-
honesty/academic-honesty-policy. Lack of knowledge of the 
academic honesty policy is not a reasonable explanation for a 
violation.