useR! 2024

In this talk we present dropR, a tool to analyze and visualize dropout especially from internet-based research. Among other features, dropR turns input from datasets into visual displays of (1) dropout curves, (2) percent remaining, and (3) dropout statistics between different conditions. It calculates parameters relevant to dropout and survival analysis, such as Chi Square values for points of difference, initial drop, confidence bands, and percent remaining in stable states. With automated inferential components, it identifies critical points in dropout and critical differences between dropout curves for various experimental conditions and generates corresponding statistical analysis. Survival tests include Chi Square, Kaplan-Meier Estimation and Rho family tests. The visual displays in the associated Shiny app are interactive so users caneasily identify regions within a display for further analysis in demo data as well as custom data provided by the user. It produces accessible - e.g. color-blind friendly - output (e.g. pdf, png) that is publication ready. dropR is made from researchers for researchers and is currently available at https://github.com/mbannert/dropR.