This 2-part (9/9/2025 and 9/11/2025) 5-hour course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.
In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.
PLEASE NOTE: Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.
This 2-part (9/9/2025 and 9/11/2025) 5-hour course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.
In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.
PLEASE NOTE: Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.
This workshop provides participants with practical instruction on the topics of integrating qualitative and quantitative data, and the essential principles behind designing fundable mixed methods research. Specific topics include crafting mixed methods objectives and research questions, choosing appropriate sampling strategies, and selecting the most effective data collection methods (qualitative and quantitative). A significant amount of time is spent demonstrating the nuts and bolts of integrating qualitative and quantitative datasets, including diagramming points of interface. Although this workshop is primarily embedded in an applied context, the instructor will present some of the more common typologies and nomenclature used in the field. Course structure includes lecture, interactive discussion, and hands-on exercises.