During the academic year, Mendoza IT Research will host a series of monthly workshops. These workshops, described below, are introductory in nature. All workshops will run from 12:00 to 1:30, with 1 hour of content and the last 30 minutes being dedicated to questions and general chatting about the content. Workshops are open to all Mendoza faculty and staff. We will be providing lunch to attendees (the probability is close to 1 that it will be pizza -- the "P" in "RAP" could also stand for pizza, but we did not want to limit ourselves).
You may register using the survey at the bottom of the page or by clicking here. You may also click on a date link to add an event to your Google calendar.
Please register by no later than 1 week before the date of a workshop (we will give everyone a pass for Introduction to R/RStudio); we want to allow our pizza portion allotments to be orthogonal, not oblique (pizza portions are the only time where we find such rotations as the appropriate default)!
Session 1 - Introduction to R/RStudio slides
Session 2 - Data Visualization slides
Session 3 - Practical Data Manipulation Using R slides
Session 4 - Advanced Qualtrics: Beyond The Menus slides
Session 1 - Reproducible Research slides
Session 2 - Latent Variable Modeling slides
Session 3 - Scraping Data slides
Session 4 - Multilevel Models: Two Different Approaches
Date: Monday, May 15, 2017, 12:00 p.m.
Description: Although we often forget to think about it in this fashion, most data is hierarchical in nature. People are nested within units, and those units are often nested within something larger. Multilevel models (hierarchical linear models to some) are a great tool for exploring the relationships between these levels. We are going to be looking at multilevel models from two different perspectives: Frequentist/NHST and Bayesian. This may also serve as a great introduction for what those Bayes and Laplace fellows were talking about in the 18th and 19th centuries, and how those centuries-old musings can help you take a different look at your research.