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Study Design and Power Analysis 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 planner runs its core power-related estimates directly in the browser using simulation-based approximations inspired by common ANOVA and regression workflows. 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 independent variables (IV)*
Please enter a valid IV name.
IV design
With levels
    Add dependent variables (DV)*
    Please enter a valid DV name.

      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 %
      Effect size input:
      Target statistical power:
      80 %
      Correlation among repeated measures:
      0.5
      Estimated initial effect sizes:
      Sample size preview:
      Please wait...
      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

      Public source repository for the browser-based Study Design and Power Analysis Planner.