RS 932 Statistics for Health and Rehabilitation Sciences II

Course Overview

This course provides a continuation of the study of statistical analyses used in health sciences research introduced in RS 930. The overarching goal of the course is to learn how to analyze, interpret, and communicate the results of statistical analyses, including (but not limited to) multiple regression, logistic regression, and multilevel regression. At the end of the course, students will have a statistical foundation they can apply to their own research and build upon to learn more advanced statistical techniques.

Course Texts

• Keith, T. Z. (2015). Multiple Regression and Beyond, 2nd Edition. Routledge: New York.

• Field, A., Miles, J., & Field, Z. (2013). Discovering statistics using R. Los Angeles, Calif: Sage.

• Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. Routledge.

• Navarro, D. Learning Statistics with R. https://compcogscisydney.org/lsr/lsr-0.6.pdf This is a free, open-source statistics textbook that has a nice introduction to using R.

Other books/online resources that may be useful to you:

• Wickham, H., & Grolemund, G. (2017). R for Data Science: Visualize, model, transform, and import data.. Available for free at: https://r4ds.had.co.nz/introduction.html . If you want to have a hard copy, you can purchase through Amazon.

• Chang, W. (2012). R Graphics Cookbook. Available on Amazon. You can also access a pared-down version online for free: http://www.cookbook-r.com/Graphs/

• Because R is free and open-source, there are hundreds (if not thousands) of online resources available. Dr. Google will be your best friend this semester.