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Study Design and Statistical Test Planner

This tool supports planning and evaluating HCI studies. Enter your independent and dependent variables, an estimated difference between the minimum and maximum measures, and their pooled standard deviation. The tool estimates statistical power using R and the Superpower package. It provides guidance for beginners as a quick start, but it is not a substitute for extensive methodological research or supervision.

Independent Variables

Define the independent variables of your study, including their scale level, design, and levels where applicable.

Add your independent variables (IV)?*
IV design
with levels

    Dependent Variables

    Add one or more dependent variables to receive suggestions for the experimental design and the corresponding statistical analysis.

    Add your dependent variables (DV)?*

      Power Analysis Settings

      Adjust your initial assumptions to estimate effect sizes, sample size, and suitable analysis procedures.

      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):
      Please wait...
      0

      Results

      Estimated power, suggested experimental design, and recommended statistical tests for your study setup.

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

      Example 2×3 Within-Subject Design

      Populate the planner with a sample within-subject design.

      Example

      Example 2×4 Mixed Design

      Populate the planner with a sample mixed design.

      Example

      Example Regression

      Populate the planner with a sample regression setup.

      Example

      Source Code

      Project repository and contact information.