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Study Design and Statistics in Kinesiology


Course Description

Common clinical research methods to evaluate physical function, performance, and injury; procedures for evaluating clinical tests and their results; data analysis techniques; review and critique of peer-reviewed research in Kinesiology.


Athena Title

Study Design and Stat in Kins


Equivalent Courses

Not open to students with credit in KINS 3830E


Prerequisite

Permission of major


Semester Course Offered

Not offered on a regular basis.


Grading System

A - F (Traditional)


Student learning Outcomes

  • At the conclusion of this course, the student should be able to recognize common study designs within Kinesiology and determine the most appropriate study design for a given research question.
  • At the conclusion of this course, the student should be able to select the appropriate descriptive statistic for a situation, calculate it by hand and/or obtain it by using a computer, and interpret it correctly.
  • At the conclusion of this course, the student should be able to describe why prediction/regression techniques are used in exercise science.
  • At the conclusion of this course, the student should be able to analyze Kinesiology research data with prediction/regression techniques using a computer and interpret and report the output from the computer correctly.
  • At the conclusion of this course, the student should be able to calculate, explain, and interpret reliability and validity of common Kinesiology clinical tests.
  • At the conclusion of this course, the student should be able to critically review and critique peer-reviewed literature within Kinesiology.

Topical Outline

  • 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