HHP 6295 - Quantitative Methods in Human Performance

Institution:

Utah Tech University

Subject:

Description:

This course will examine the basic concepts and techniques of analysis of data in Health and Human Performance research, investigate and apply data analytic techniques which are appropriate for answering research questions and handling varying types data, report and interpret results of data analyses, consider the limitations of statistical techniques, and read and translate results from Health and Human Performance studies. Students will be introduced to the basic principles of statistical computing using analytic software. The course will emphasize statistical theory and techniques for determining bivariable associations, with an introduction to multivariable analysis. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Decide and apply the appropriate analysis procedure for each research question; basics of statistical inference (e.g., Type I and Type II error); how to use a statistical software package for analyses. 2. Explain statistical estimation and hypothesis testing concepts; statistical concepts encountered in the health and human performance professions. 3. Apply data management principles in an approach to data; basic software techniques for data analysis. 4. Analyze and interpret results of statistical software procedures; common statistics encountered in health and human performance professions. 5. Create a report of results of statistical analyses for a clinical audience. Prerequisites: MATH 1040 (Grade C- or higher) or acceptance to a graduate program, or instructor permission. FA

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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