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is a statistical method of adjusting for lack of sphericity in a repeated measures ANOVA. The correction functions as both an estimate of epsilon (sphericity) ...

The use of Greenhouse-Geisser and Huynd-Feldt correctiions in repeated measures designsfor correcting against violations of sphericity.

When performing an analysis of variance with a one factor repeated measurement design, the effect of the independent variable is tested.

The Greenhouse-Geisser is used to assess the change in a continuous outcome with three or more observations across time or within-subjects.

The Greenhouse-Geisser and Huynh-Feldt estimates can both range from the lower bound (the most severe departure from sphericity possible given the data) and 1 ( ...

In other words, the Geisser-Greenhouse correction increases the P value. Quantifying deviations from sphericity. Prism quantifies deviation from sphericity by ...


Within-subjects designs

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  1. https://people.umass.edu
  2. Lectures
  3. Section3
  4. Lecture21

Less than .75, and the Greenhouse-Geisser correction is recommended. ezANOVA is a really useful tool. It can actually compute ANOVAs for you if you ...

Greenhouse and Geisser (1959) and Huynh and Feldt (1976). Both of these estimates give rise to a correction factor that is applied to the degrees of freedom ...

Geisser and Greenhouse described a method for repeated measures analysis of variance that has become an important part of statistical tradition.

Like Mauchly's sphericity test, the first two estimates (Huynh-Feldt and Greenhouse-Geisser) are challenging to calculate; so you will probably need a software ...