Experimental Design and Statistics in Communication Sciences and Disorders (404-2-1)
Instructors
Mercedes Spencer
Meeting Info
Frances Searle Building 3220: Tues, Thurs 11:00AM - 12:20PM
Overview of class
Advanced statistics. Covariance, factor, and nonparametric analysis. Multivariate procedures and test statistics; research applications.
Registration Requirements
CSD 404-1 or equivalent
Learning Objectives
Upon the completion of this course, students should be able to:
• Distinguish between parametric and nonparametric statistical tests.
• Conduct statistical tests using R statistical software.
• Understand how to accurately interpret the results of different statistical methods.
• Engage in informed decision making to select statistical tests that are appropriate based on tested hypotheses as well as characteristics of the data.
• Develop foundational knowledge and skills needed for more advanced courses in statistics and/or research methods.
Evaluation Method
Weekly assignments, participation, and exams.
Class Materials (Required)
• Computer (laptop)
• Software programs: R statistical software [Available at: https://cran.r-project.org/] and R-Studio [Available at: https://posit.co/]
• Additional materials will be posted on Canvas.
Class Notes
This course will introduce students to more advanced concepts and methods in statistics and provide practical experience for the application of statistical methods relevant to research in communication sciences and disorders. Throughout the quarter, we will cover a wide variety of topics, such as multivariate regression and analysis of covariance as well as testing statistical assumptions. Students will learn how to select appropriate statistical tests based on their data, conduct analyses using R statistical software, and interpret results appropriately.