Whether you are a new researcher or a seasoned veteran, chances are you’re working with research data. Small changes to your data management practices can make a significant impact during research, and save time and effort when you are ready to share the results. In this session you’ll  learn about resources and practical steps you can take to organize and document your data during research, and how to increase the impact of your research while meeting publisher and funder expectations for sharing your data. Employing these practices will ensure that everyone, including you, can understand and work with your data in the weeks, months, and years to come.

Introduction to Social Network Analysis with R will introduce attendees to concepts of social network analysis by illustration. This in-person course will walk through R code, learning what the code does and introducing network concepts along the way. Attendees will leave with knowledge of commonly used R packages useful for network analysis. Beginner R knowledge is recommended.

This virtual workshop introduces factor analysis models to help participants better understand the methodologies used to develop scales and measures in research. Familiarity with general linear models (such as ANOVA and linear regression) is recommended, but no prior knowledge regarding factor analysis is required. The workshop will focus primarily on confirmatory factor analysis and its application to survey methodology. This is a virtual workshop and will be held over Zoom.