It seems to me like your proposed visualization strategy is appropriate. You can see basic barchart production in Stata under Descriptives/Categorical/Charts in Stat-Tree. Thanks.

Thanks!

I apologize for the late reply. Thank you for your interest and use of Stat Tree. I cannot make the PEVS dataset available for the following reason: the PEVS dataset is scored with fictitious data. The PEVS dataset was developed specifically for educational purposes for undergraduate and graduate students to demonstrate statistical analysis across multiple tests. The dataset has not been used, and was not intended to be used, as part of a research project. As an active researcher, I cannot release fictitious data without threatening my credibility as a researcher. In the course of the development of Stat Tree, I had to make adjustments to the PEVS dataset in order to fit the data to the test being demonstrated. The Welcome and Demonstration video for Stat Tree (kzbin.info/www/bejne/lXbac6t_fJqKfK8) discusses the fictitious nature of the data. For your particular question, and for any other demonstrated tests in Stat Tree, I have provided a copyable script (in Julia, Python, R, SAS, SPSS, and Stata), in which the placement of variables relevant for the test are denoted by var1, var2, etc. Users are encouraged to use these scripts with their own datasets replacing var1, var2, etc. with the names of their variables. R has some built-in datasets you can explore by typing in the code: library(help = "datasets") If you intend to use Stat Tree to teach your own students, or clients, about statistical analysis (the true intent of Stat Tree), and would like access to a dataset, I wish to recommend these publicly available datasets to test your scripts: iris (dataset of flowers’ growth rates, etc. used extensively for demonstrations of specific statistical tests on GitHub) available through Kaggle.com at: www.kaggle.com/datasets/arshid/iris-flower-dataset A list of public datasets are available through Python4data.science at: www.python4data.science/en/latest/data-processing/opendata.html Other datasets are available through the University of Michigan Institute for Research on Innovation and Science at: iris.isr.umich.edu/research-data/ Let me know if I can be of further help. H. Paul LeBlanc III, Ph.D. Founder Stat Tree LLC [email protected]

@@nightangel8087 thank you!