Overall Information

1. Dates, sessions, and attendees

These evaluations were completed by participants in sessions/webinars taught by Cari A. Bogulski between July 01, 2021 and September 27, 2026.

Course Dates Course Topics Respondents
2021-11-18 Using R for t-tests and ANOVA 8
2021-12-09 Plotting the titanic data set 2
2022-05-04 REDCap Customization 8
2022-06-23 R Intro/Refresher (with titanic data) 2
2022-09-01 Making Table 1s in R 5
2022-10-13 Best Practices for REDCap Projects 3
2023-07-06 Introduction to R for Data Management 3
2023-07-20 R REDCap API & Data Viz 3
2024-06-06 Plotting survey data in R using likert and kableExtra 5
2025-08-19 Using R to Process and Analyze HINTS 7 Data 4

Overall Rating of Presentation

2. Relevance of topic?

Responses can range from 0 [Not relevant] to 100 [Relevant]

Course Dates Course Topics Lowest Rating Highest Rating Average Rating Median Rating
2021-11-18 Using R for t-tests and ANOVA 85 100 94.6 98.0
2021-12-09 Plotting the titanic data set 85 99 92.0 92.0
2022-05-04 REDCap Customization 94 100 98.2 99.5
2022-06-23 R Intro/Refresher (with titanic data) 97 100 98.5 98.5
2022-09-01 Making Table 1s in R 100 100 100.0 100.0
2022-10-13 Best Practices for REDCap Projects 97 100 99.0 100.0
2023-07-06 Introduction to R for Data Management 98 100 98.7 98.0
2023-07-20 R REDCap API & Data Viz 99 100 99.7 100.0
2024-06-06 Plotting survey data in R using likert and kableExtra 96 100 98.8 100.0
2025-08-19 Using R to Process and Analyze HINTS 7 Data 68 100 89.0 99.0

3. Number of sessions adequate?

Presented Material

4. Presenter appeared well-prepared?

5. Presentation included recent literature?

6. Presentation included examples of application in practice?

7. Appropriate scope of coverage (i.e. not too narrow or broad)?

8. Information presented in logical order?

9. Effective use of visual aids and/or experiential activities?

10. Provided opportunity to apply information from presentation?

11. References given for further study?

12. Appropriate coverage of ethics issues as they relate to topic?

Style of Presentation

13. Presenter showed active interest in topic?

14. Presenter effectively engaged the audience?

15. Presenter was open to questions/discussion?

16. Presenter provided clear explanations/answers?

Open Response Feedback

Please add appropriate feedback and comments with a focus upon specific strengths or weaknesses. Please note any stylistic issues the presenter should be aware of (e.g., helpful ways of presenting, distracting behaviors).

Cari does an excellent job of bringing what coding can accomplish to life. By working through issues in real time with real data, Cari goes beyond just providing working code to be pasted in and leaves us with a better understand of the how and why things are done, making us all more capable coders in our own right beyond the scope of the subject matter.
Cari always goes out of her way to find answers to people’s questions! She’s always ready to spend time with the class on sticky subjects, and emphasize the important concepts. She’s the perfect teacher!
The pace of the presentation was appropriate and the instructor was confident in the subject matter and created a positive learning environment.
Cari is an excellent teacher. She is attentive, thorough, and there’s no one else I’d rather teach me.
I love these sessions, no notes
Cari did an excellent job!
Cari is a fantastic teacher - always always always. She is open to questions, engaging, and clear about what she doesn’t know and how she can follow-up with you.
Cari is amazing (I was happily [briefly] distracted by the cameo of the kitty)
The presenter accepted the invitation to present with short notice. She arrived prepared and was very engaging and informative. She was able to directly speak to how the topic could be applied in our work and gave excellent examples. I would definitely invite her to speak again.
I feel very lucky to learn R from the R guru herself. Thanks, Cari!
No comments for improvement. Even learned some additional things about R Studio in the post-lesson conversation. Always worth coming to Dr. Bogulski’s lessons even if you think you know everything there is to know about a topic.
Could perhaps speak a little bit slower although the length of the meeting places a constraint on time.
The only thing (and I’m reaching) to make it even better would be to use (rnorm(), nrow=300)) to loop in using random subsets of data to prevent p hacking? but that’s completely unrelated to the topic of tables. Really happy with the time I spent, learned about 2 new packages, going to be able to use them in the next week and it’ll end up saving me hours over the rest of the year.
30 minutes is not enough. Please schedule it for at least 1 hour.
Helpful as always. Thank you!
excellent as always.
Excellent coverage of a seemingly simple topic. After this presentation anyone participating can significantly up their game in a task we perform daily. This will lead to significant improvement in the quality of work and reporting we’re able to put out. Thanks Dr. Bogulski!
I look forward to trying this out for myself soon. Thanks!
This is very relevant and helpful for the work that I do. Thanks!
This was a very clean and concise run through of the core elements of a very useful package, with the added benefit of being presented in another very useful package. No notes, excellent work.