[Coming Soon: Exploring Diversity with Statistics: Step-by-step Jamovi Guides]

Author

Ruth Walker, University of Tennessee at ChattanoogaFollow

Files

College

University of Tennessee at Chattanooga. College of Arts and Sciences

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Description

These resources were created to complement our undergraduate statistics lab manual, Applied Data Analysis in Psychology: Exploring Diversity with Statistics, published by Kendall Hunt publishing company. Like our lab manual, these Jamovi walk-through guides meaningfully and purposefully integrate and highlight diversity research to teach students how to analyze data in an open-source statistical program. The data sets utilized in these guides are from open-access databases (e.g., Pew Research Center, PLoS One, ICPSR, and more). Guides with step-by-step instructions, including annotated images and examples of how to report findings in APA format, are included for the following statistical tests: independent samples t test, paired samples t test, one-way ANOVA, two factor ANOVA, chi-square test, Pearson correlation, simple regression, and multiple regression. Additionally, you will find instructor resources added with our Summer 2023 update. Please feel free to use our added instructor PowerPoint slides highlighting additional research focused on equity, diversity, and inclusion topics. If you are new to incorporating diversity-focused research, you may benefit from some of the resources shared in our newly added instructor resources list. If you are interested in partnering with us to adapt these resources for other statistical software programs, have suggestions for revisions or additions, or would like additional information on how to best integrate these materials into your courses, please contact ruth-walker@utc.edu

Acknowledgements

Each guide has multiple authors who contributed to their creation. Authors and acknowledgements are listed at the end of each guide. We would like to thank M. Elizabeth Barnes, Jasmine M. Truong, Daniel Z. Grunspan, and Sara E. Brownell for making their data available through PLoS One for our Independent Samples t test guide. We would like to thank Victoria L. Banyard, Elizabeth G. Plante, and Mary M. Moynihan for making their data available through the Inter-university Consortium for Political and Social Research (ICPSR) for our Paired Samples t test guide. We would like to thank Ilan H. Meyer, Stephen T. Russell, Phillip L Hammack, David M. Frost, and Bianca D. M. Wilson for making their data available through the Inter-university Consortium for Political and Social Research (ICPSR) for our One-Way ANOVA guide. We would like to thank the Pew Research Center for generously making their data available for secondary analysis for our Two-Way ANOVA and Chi-Square Test guides. We would like to thank Jinlong Li, Na Wu, and Shengxu Xiong for generously publishing their data through PloS One for our Pearson Correlation and Regression guides. Finally, we appreciate Dr. Kristen Black’s edits and suggestions during the creation of these materials.

Course Title

Introductory Statistics in Psychology

Course Prefix and Number

PSY 2010

Date

12-2024

Subject

Psychology

Keyword

statistics; psychology; diversity; Jamovi; data analysis

Discipline

Higher Education | Psychology

Document Type

instructional materials

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.