Session: Mixed Methods Research Using R: Combining Structural Topic Modeling with Linear Models (Society for Social Work and Research 27th Annual Conference - Social Work Science and Complex Problems: Battling Inequities + Building Solutions)
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All in-person and virtual presentations are in Mountain Standard Time Zone (MST).

SSWR 2023 Poster Gallery: as a registered in-person and virtual attendee, you have access to the virtual Poster Gallery which includes only the posters that elected to present virtually. The rest of the posters are presented in-person in the Poster/Exhibit Hall located in Phoenix A/B, 3rd floor. The access to the Poster Gallery will be available via the virtual conference platform the week of January 9. You will receive an email with instructions how to access the virtual conference platform.

SSRPCB-3 Mixed Methods Research Using R: Combining Structural Topic Modeling with Linear Models

Schedule:
Thursday, January 12, 2023: 8:00 AM-10:00 AM
Camelback B, 2nd Level (Sheraton Phoenix Downtown)
Speakers/Presenters:
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.

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