One-way ANOVA

BEFORE YOU BEGIN:

The videos below will walk you through the following .Rmd file: https://drive.google.com/file/d/1Tp4q_zRab5SPtbMpy-5gHI78cAPNhGhG/view?usp=sharing

Be sure you already have the datafile from Ch. 9 saved.

17–A: Introduction and Learning Outcomes

In this module, we will be learning how to:

    1. Assess whether our data meets the assumptions for a one-way ANOVA.

    2. Conduct a one-way ANOVA analysis.

    3. Interpret the results of our one-way ANOVA analysis.

    4. Calculate effect sizes for one-way ANOVA results.

    5. Conduct post-hoc analyses.

    6. Interpret the results of our post-hoc analyses.

    7. Depict the results of a one-way ANOVA visually.

Video (0:40)

17–B: Installing/Loading Packages and Dataset Information

Note that when working through the .Rmd files, R packages will often need to be installed, and libraries loaded. Do NOT quit R while installing or loading packages and libraries. This can corrupt crucial files. Instead, you can STOP the process (by clicking the red stop sign in the upper right corner of the console) and then quit the program, or wait until the process has been completed.

Video (10:51)

17–C: Research Question and Hypotheses

Video (1:35)

17–D: One-Way ANOVA Assumptions

Video (13:07)

17–E: Analysis and Interpretation

Video (4:50)

17– F: Effect Sizes

Video (2:28)

17–G: Post-hoc Analyses

Video (6:13)

17–H: Final Write-Up

Video (4:44)

17–I: Depicting One-Way ANOVA Visually

Video (5:03)

References

  1. Horst, A. tidy_data _1–7 and tidyr_spread_gather https://github.com/allisonhorst CC-BY-4.0

  2. R version 4.1.0 (2021-05-18) -- "Camp Pontanezen". Copyright (C) 2021 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 (64-bit)

  3. RStudio Team (2020). RStudio: Integrated Development Environment for R. RStudio, PBC, Boston, MA URL http://www.rstudio.com/.

  4. Tomlinson, T. Jones, B. and Chicoli, A.Statistics in Social Sciences https://sites.google.com/umd.edu/statisticsinsocialsciences

Interested in Learning More?

  1. More R instructional guides: https://www.statology.org/r-guides/ © 2021 Statology