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Study Design and Statistical Test Planner

This tool is designed to plan and evaluate your study for HCI research. Enter your independent and dependent variables, estimate the difference between extreme measures and their pooled standard deviation, and use the resulting guidance to prepare an appropriate design and statistical testing strategy. The tool uses R together with the Superpower package for power-related estimates. It offers quick-start guidance and does not replace careful methodological planning or supervisory input.

Study Setup

Describe your independent and dependent variables first. The planner keeps your workflow and reveals the remaining estimation controls when they become relevant.

Add your independent variables (IV)?*
IV design
With levels
    Add your dependent variables (DV)?*

      Estimation Controls

      Tune the assumed effect size, variance and sample size. These controls provide an approximate starting point for planning and should be interpreted in the context of your specific within-, between- or mixed-design setup.

      Estimated mean difference between min. and max. measures (in %):
      20 %
      Estimated pooled standard deviation (in % of the mean difference):
      40 %
      Estimated initial effect sizes:
      Subjects (estimated using Superpower):
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      0

      Results and Guidance

      Use the generated interpretation as a starting point for discussing design choices, required sample sizes and appropriate statistical tests with your supervisor or research team.

      Statistical Power and Effect Sizes
      Instructions for your experimental design
      Instructions for your statistical test(s)

      Example Study Setups

      Load one of the built-in examples to inspect how the planner configures within-subject, mixed-design and regression scenarios.

      Example 2x3 Within-Subject Design Example 2x4 Mixed-Design Example Regression

      Source Code

      Project repository and maintenance entry point for the published GitHub Pages version of the planner.