Thursday, January 12, 2023: 8:00 AM-10:00 AM
Camelback B, 2nd Level (Sheraton Phoenix Downtown)
Maria Rodriguez, PhD, MSW, University at Buffalo and
Richard Smith, PhD, Wayne State University
Goals: The goal of this workshop is to practice key packages used for mixed methods research in R. In particular, this workshop will be useful for those analyzing large bodies of text to create codes used in subsequent quantitative analysis. First, we briefly describe how to use R using Posit (i.e., the integrated development environment software formerly known as RStudio) and Github (i.e., a cloud solution for data and code) for reproducible research. Second, we will review generalized linear models and mixed models in R that work well with mixed methods (e.g., logistic, count and survival). Third, we will present structured topic modeling, a method of organizing and analyzing large volumes of text (e.g., policy documents, case notes, interviews, newspaper articles, or Twitter feed). Resources will be shared with the workshop participants on Github (see below).
Appropriate Level of Attendee Knowledge: This workshop is for researchers who have experience with mixed methods research and would like to take advantage of some of the packages that R has to offer to support that work. Previous experience with R is recommended, but not necessary. Researchers with experience using any statistical script should be able to follow along.
Other Details: Please bring a Mac, Windows, or Linux laptop with software and data pre-installed. We will be using the Posit (https://posit.co/) Integrated Development Environment (a.k.a., RStudio) in conjunction with Github: smithrichardj/SSWR_2023_MM_R. Materials will be posted by January 5th.