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Abstract Title: An Introduction to Data Science for Emerging Quantitative Researchers with R-Studio
Abstract: This workshop provides an introduction to several statistical tests for comparing two groups by applying these methods to common tasks in physics education research. The workshop will emphasize the application, interpretation, and limitations of p-values and effect sizes. Participants will develop a conceptual understanding of variance in data, create visualizations that incorporate variance, and explore the relationships between variance, effect sizes, and p-values. Participants will work in small groups with facilitators and participate in larger group discussions. They will use parametric tests (for interval and ratio scale data) and nonparametric tests (for ordinal and nominal data) to compare students' scores on concept inventories and students' responses to a multiple-choice question. For each comparison, participants will learn how to select the correct statistical test to use, how to test the assumptions for that statistical test, how to interpret and report the results from Rstudio, and alternative tests to use. By focusing on the process for learning new statistical methods, we hope that participants will leave with the skills and resources to conduct, evaluate, and report their own analysis. We will provide a working file for RStudio to facilitate these conversations. However, participants need no prior experience with statistics or with Rstudio, though we invite more advanced Rstudio users and quantitative researchers to participate and to support the other participants. To make the most of the in-person workshop time, we ask that participants come with a laptop loaded with the latest versions of R and Rstudio. Instructions for downloading and installing R and Rstudio and supporting materials for the workshop are available at https://tinyurl.com/statworkshopresources.
Abstract Type: Workshop
Session Time: Parallel Sessions Cluster I
Room: Meeting Room 5

Author/Organizer Information

Primary Contact: John Buncher
North Dakota State University
Co-Author(s)
and Co-Presenter(s)
Co-facilitators: D. McPadden, J. M. Nissen, G. Potvin, R. Talbot