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power-analysis

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Lesson Overview

Objectives

At the end of this lesson, participants should be able to:

  1. have a basic understanding of statistical power
  2. list five factors which influence power
  3. conduct post-hoc and a priori t-test power analyses in R

Lesson Resources

Access Lesson

You can download this lesson to your Desktop easily using usethis:

usethis::use_course("https://github.com/slu-dss/power-analysis/archive/master.zip")

By using usethis::use_course, all of the lesson materials will be downloaded to your computer, automatically extracted, and saved to your desktop. You can then open the .Rproj file to get started.

Contributor Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

About

About the SLU Data Science Seminar

The SLU Data Science Seminar (DSS) is a collaborative, interdisciplinary group at Saint Louis University focused on building researchers’ data science skills using open source software. We currently host seminars focused on the programming language R. The SLU DSS is co-organized by Christina Gacia, Ph.D., Kelly Lovejoy, Ph.D., and Christopher Prener, Ph.D.. You can keep up with us here on GitHub, on our website, and on Twitter.

About Saint Louis University

Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic institutions. Rooted in Jesuit values and its pioneering history as the first university west of the Mississippi River, SLU offers nearly 13,000 students a rigorous, transformative education of the whole person. At the core of the University’s diverse community of scholars is SLU’s service-focused mission, which challenges and prepares students to make the world a better, more just place.