Important notes

This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories. The links below connect to various components of the project. The main OSF project link is https://osf.io/3s68c/.

Textbook

• website: https://crumplab.github.io/statistics/
• OSF: https://osf.io/jze52/
• Github: https://github.com/CrumpLab/statistics
• DOI: 10.17605/OSF.IO/JZE52

Lab Manual

• website: https://crumplab.github.io/statisticsLab/
• OSF: https://osf.io/m2npj/
• Github: https://github.com/CrumpLab/statisticsLab
• DOI: 10.17605/OSF.IO/M2NPJ

Course website

• website: https://crumplab.github.io/psyc3400/
• OSF: https://osf.io/awxu9/
• Github: https://github.com/CrumpLab/psyc3400
• DOI: 10.17605/OSF.IO/AWXU9

All resources are 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.

Contributors

Team members contributing new content include, Matthew Crump, Alla Chavarga, Anjali Krishnan, Jeffrey Suzuki, and Stephen Volz. This textbook was primarily written by Matthew J. C. Crump. Jeff contributed the YouTube videos peppered throughout the textbook. All of Jeff’s statistics videos are available on his Youtube channel: Statistics Video playlist.

Alla, Anjali, and Stephen wrote the lab manual exercises for SPSS, JAMOVI, and Excel. Matt Crump wrote the lab manual exercises for R.

Matt Crump wrote a free and copiable course website, in R Markdown. The course website also contains slide decks for the lectures.

Attributions

Two of the chapters were adapted from Danielle Navarro’s wonderful (and bigger) free textbook, also licensed under the same creative commons license. The citation for that textbook is: Navarro, D. (2018). Learning statistics with R: A tutorial for psychology students and other beginners (version 0.6). The website is https://compcogscisydney.org/learning-statistics-with-r/

Chapter notes within the book are provided to indicate sections where material from Navarro was included. A short summary is here

Chapter 1: Why statistics, Adapted nearly verbatim with some editorial changes from Chapters 1 and 2, Navarro, D.

Chapter 4: Probability, Sampling, and Estimation, Adapted and expanded from Chapters 9 and 10, Navarro D.

CC BY-SA 4.0 license

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.

Adapted from Answering Questions with Data: Introductory Statistics for Psychology Students, by Matthew J. C. Crump (Brooklyn College of CUNY), crumplab.com/statistics, licensed under CC BY-SA 4.0. Portions adapt Danielle Navarro's Learning Statistics with R (CC BY-SA). Changes were made; this adaptation is distributed under the same license. License: CC-BY-SA-4.0.