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Reference table

Equivalence test vs difference test: the four outcomes

Run TOST alongside the usual significance test and every result lands in one of four cells

Two by two table of results from a difference test and an equivalence test: too small to matter, a meaningful difference, equivalent, or inconclusive.
Most product research lands in inconclusive and gets reported as equivalent Source: Adapted from Lakens, Social Psychological and Personality Science, 2017

A two-by-two table of what happens when you run an equivalence test (TOST) next to an ordinary significance test. The four cells are a real effect too small to matter, a meaningful difference, statistical equivalence, and an inconclusive result. Use it to label a readout honestly before a sunset, migration or parity decision. The layout is adapted from Daniel Lakens's 2017 tutorial. Koji studies let you write the equivalence bound into the brief before fielding.

Where this appears

What's in this reference table

Equivalence significantEquivalence not significant
Difference significantReal but too small to matter: the effect exists and you can stop caring about itA meaningful difference: act on it
Difference not significantStatistically equivalent: you may claim no meaningful differenceInconclusive: the study could not tell, and the honest report says so

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<a href="https://www.koji.so/visuals/equivalence-test-and-difference-test-four-outcomes"><img src="https://www.koji.so/visuals/equivalence-test-and-difference-test-four-outcomes/equivalence-test-and-difference-test-four-outcomes.png" alt="Two by two table of results from a difference test and an equivalence test: too small to matter, a meaningful difference, equivalent, or inconclusive." width="1200" height="630" /></a>
<p>Source: <a href="https://www.koji.so/visuals/equivalence-test-and-difference-test-four-outcomes">Equivalence test vs difference test: the four outcomes</a>, Koji</p>