Select the parameters below to generate a structured perception testing protocol.
Category
Measure (rated on a 7-point Likert scale)
Test Items
Equipment
Study Design
Expected Effect Size
Uses Cohen's d — how large a difference you expect between conditions. Smaller effects need more participants to detect reliably.
Significance (α)
The risk you'll accept of a false positive (finding an effect that isn't real). Lower is stricter.
Power (1−β)
The chance of detecting a real effect if one exists. Higher power needs more participants.
Tails
Two-tailed tests for any difference; one-tailed tests only a specific, predicted direction.
Generated Protocol
Your generated protocol will appear here.