Guides
Practical, how-do-I guides for the work around authoring — designing solid experiments, recruiting participants, importing existing work, and analyzing the data you collect.
Authoring
Experiment Design →
Factors, randomization, counterbalancing, and reusable paradigms.
Counterbalancing & Assignment →
Hash, random, rotation, minimization, and hosted allocation semantics.
Stimuli & Responses →
Presenting stimuli, collecting responses, and computing correctness.
Running & data
Running Studies & Recruitment →
Study links, Prolific, and MTurk.
Hosted Backend →
How releases, runs, sessions, telemetry, assets, and exports are hosted.
Importing & Migrating →
Bring in jsPsych, PsychoJS, and bundles.
Data & Analysis →
Export and analyze in Python or R.
Session Replay (Time Machine) →
Replay and explain any session.
Troubleshooting →
Common issues and how to fix them.