Answering questions with data: Lab Manual
Last Compiled 2023-01-26
This is the companion lab to our free introductory statistics for undergraduates in psychology textbook, Answering questions with data.
This lab manual involves step by-step tutorials to solve data analysis problems in software. We use open-data sets that are usually paired with a primary research article.
Each lab has a separate guide for solving the problems in R & R-studio, Excel, SPSS, and JAMOVI.
The manual is a free and open resource. See below for more information about copying, making change, or contributing to the lab manual.
This lab manual is released under a creative commons licence CC BY-SA 4.0. Click the link to read more about the license, or read more below in the license section.
This lab manual is part of a larger OER course package for teaching undergraduate statistics in Psychology. Team members include, Matthew Crump, Alla Chavarga, Anjali Krishnan, Jeffrey Suzuki, and Stephen Volz. As this OER comes together, we will be providing a course website, written in R Markdown, as well as slide decks for the lectures (these will be more fully available by the end of fall 2018). As a result, this textbook, the lab manual, the course website, and the slide decks will all be free, under a creative commons license. The source code for all material is contained in the GitHub repositories for each, and they are a written in R-markdown, so they are relatively easy to copy and edit. Have Fun!
First Draft (version 0.9 = August 15th, 2018)
This was the version we used to adapt the lab manual. That project can be found here. It was authored by Matt Crump (R exercises), Anjali Krishnan (JAMOVI exercises), Stephen Volz (EXCEL exercises), and Alla Chavarga (SPSS exercises). Labs 6, 7, and 8 were adapted and expanded from Open Stats Labs. Thanks to Open Stats Labs (Dr. Kevin P. McIntyre) for their fantastic work.
Version 1.0 = April, 2021
This version was our first edit of the lab manual for PSYC 292 at StFX (Winter 2021), and was completed by Erin Mazerolle and Sherry Neville-MacLean. The changes were mainly focused on the SPSS sections of Labs 1, 2, 3, 6, and 7, and in particular, the homework questions. We also added Lab 12.
In progress: Version 2.0. Last Compiled: 2023-01-26
We are currently working on updating the lab manual to include JAMOVI activities that will use in PSYC 292 at StFX.
Section 0.6 of Lab 0 was adapted nearly verbatim, with some editorial changes, from Chapter 3, “Getting started with jamovi,” from Navarro, D.J., & Foxcroft, D.R. (2019). Learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.70) while adhering to its license that states “The book is released under a creative commons CC BY-SA 4.0 licence. This means that this book can be reused, remixed, retained, revised and redistributed (including commercially) as long as appropriate credit is given to the authors. If you remix, or modify the original version of this open textbook, you must redistribute all versions of this open textbook under the same license - CC BY-SA. DOI: 10.24384/hgc3-7p15
This license means that you are free to:
- Share: copy and redistribute the material in any medium or format
- Adapt: remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
This lab manual was written in R-Studio, using R Markdown, and compiled into a web-book format using the bookdown package.
All of the source code for this book is available in a GitHub repository: https://github.com/erinmaz/statisticsLab
In addition, the source code for project this book was based on can be found at: https://github.com/CrumpLab/statisticsLab
In principle, anybody could fork or otherwise download this repository. Load the Rproj file in R-studio, and then compile the entire book. Then, the individual .rmd files for each chapter could be edited for content and style to better suit your needs.
If you want to contribute to this version of the lab manual, you could make pull requests on GitHub, or discuss issues and request on the issues tab.
Thanks to the librarians at Brooklyn College of CUNY, especially Miriam Deutch, and Emily Fairey, for their support throughout the process. Thanks to CUNY for supporting OER development, and for the grant we received to develop this work.
Development of version 2.0 (described above) was funded by the Council of Atlantic University Libraries through an AtlanticOER Development Grant awarded to Erin Mazerolle, Christine Lomore, Margaret Vail, Derrick Lee, Sherry Neville-MacLean, and Lindsay Berrigan.