Study Planning

Experiment Design Advisor

Design valid, efficient experiments — from factorial designs to EMA studies

factorial design EMA within-subjects randomization

¥19.99

274 researchers installed this

4.0(1)

About this skill

What it does

Helps you make key design decisions before data collection so you avoid fatal flaws in your study.

Design Types Covered

Lab experiments (between/within/mixed designs)
Online experiments (Prolific, MTurk, SONA)
Field experiments and quasi-experiments
Ecological momentary assessment (EMA) — burst sampling, signal-contingent
Longitudinal panel studies
Vignette / scenario experiments

Decision prompts for

Between- vs. within-subjects trade-offs
Counterbalancing and randomization schemes
Control condition design
Demand characteristics and deception
Attention check strategy
Manipulation check wording
Cover story writing

Output

A structured design document you can paste directly into your Methods section.

What researchers say

4.0(1)

Li WeiEducation Master's student, PKU

Helped me think through a 2×2 factorial design comparing instruction methods and feedback types. It pointed out a confound in my original design and suggested a cleaner between-subjects arrangement. My committee was impressed by the rigor.