Argus: Interactive a priori Power Analysis

A key challenge HCl researchers face when designing a controlled experiment is choosing the appropriate number of participants, or sample size. priori power analysis examines relationships among multiple parameters, including complexity associated with human e.g., order and fatigue effects, to calculate statistical given design. We created Argus, tool that supports interactive exploration power: Researchers specify design scenarios varying confounds effect sizes. Argus then simulates data visualizes across these scenarios, which lets interactively weigh various trade-offs make informed decisions about describe implementation usage scenario visualization experiment, think-aloud study.