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v2026.11,610 entries · CC-BY 4.0
Dictionary termTrack CStablev2026.2

Robustness

The stability of a study's conclusions under reasonable variations in analytical choices, model specification, sample inclusion, or measurement, on the same data.

ByCASRAI Editorial Board
· Last updated 21 May 2026

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Examples

Worked examples

  • Is an instance

    A regression result that holds whether outliers are winsorised, trimmed, or kept.

  • Is an instance

    A model conclusion that survives swapping the random-effects structure.

Counter-examples

Looks similar, but isn't

  • Not an instance

    A new experiment on new data (replicability).

  • Not an instance

    Running the same code twice (reproducibility).

Editorial commentary

Robustness checks alter one degree of freedom at a time (e.g., re-running with covariate X removed, using a different estimator, excluding outliers) to test whether the headline conclusion is artefactual. The multiverse-analysis literature generalises this by running all plausible analytic paths simultaneously rather than only one.

References

  • Steegen, Tuerlinckx, Gelman, Vanpaemel, 'Increasing transparency through a multiverse analysis' (Perspectives on Psychological Science, 2016).

Also known as

analytic robustness · specification robustness

Machine-readable encodings

Use in your systems

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