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How evidence grades, test batteries and test order work, with short answers to common questions about devices, percentiles, scoring and exports.
A test's evidence grade counts its published test-retest papers, its reliability and validity papers and the registered clinical studies that use it as an outcome. A battery or a study takes the grade most of its tests reach.
A battery is a ready-made set of tests for one kind of study, in a fixed order with standard settings. A study started from a battery keeps its tests, their order and their settings.
A battery runs its tests in one fixed order for everyone. In your own study, each section can run its tests in a fixed order, a random order or a balanced Latin square, and each participant's order is saved.
Yes, for untimed tests: 290 untimed tests run on phones and 323 on tablets. Timed tests need a desktop or laptop with a mouse or trackpad. A phone that cannot run every test in a study is stopped before the consent form, or before it can start when the study has no consent screen. On an open study link, that person is not counted and uses no credit.
When the test has a published norm for the participant's age and the session meets all 5 conditions on the norms page, such as standard settings and a passed device check.
Yes. Change trial counts, timing and test parts yourself, within the limits each test allows. If your study needs a test we do not have, or a version of one of ours, we build it for you.
Yes. A study can hold repeat visits. Each later visit opens a set number of days after the participant finishes the first, stays open for a set number of days and can accept late sessions. Each participant keeps one link, which opens the visit that is due, and the longitudinal export gives each score at two visits and the change between them.
No. Try it now scores your run and shows the result, and nothing from the run is saved. Building a study and testing participants need a free account.
Automatically, on the server, when each test ends. Each test reports the standard measures for its task.
Scores and trial-level data as CSV files. Every row names the protocol version the participant ran.
Each session is marked valid, flagged or invalid, with summaries per participant and per test, so you can see which sessions to keep before you analyze.