Greenhouse–Geisser correction ... is a statistical method of adjusting for lack of sphericity in a repeated measures ANOVA. The correction functions as both an ...
The Greenhouse-Geisser procedure estimates epsilon (referred to as Greenhouse-Geisser Estimate Epsilon ) in order to correct the degrees of freedom of the F- ...
Greenhouse and Geisser (1959) suggest to use a stepwise strategy for the implementation of the correction for lack of sphericity. If FA is not significant with ...
Geisser and Greenhouse also derived a lower-bound correction. This is a simpler method to calculate, but corrects too far. Prism does not use this method, but ...
Greenhouse-Geisser is a correction applied in repeated measures ANOVA that adjusts the degrees of freedom to account for violations of sphericity.
The Greenhouse-Geisser is used to assess the change in a continuous outcome with three or more observations across time or within-subjects.
Q.検定の多重性について質問です。 3群の分散分析（被験者内計画）をしています。 入戸野先生の「心理生理学データの分散分析」を参考に、 1. Greenhouse-geisserのεに基づき自由度...
A.確かに、あなたの言うとおりですが、分散分析してから多重比較するのも、二段階検定になってしまいます。その点は、どうしますか？ 私の研究室の統計解説参照 分散分析の下位に多重検定を置くな htt...
A.分散分析と各水準の多重比較の目的の違いを認識する必要があります。 各種の統計ソフトは，主効果や交互作用の検定と，多重比較の結果が，両方とも出力されるので，注意が必要です 例えば，弘前大・対馬...
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 ( ...
Citation. Greenhouse, S. W., & Geisser, S. (1959). On methods in the analysis of profile data. Psychometrika, 24, 95–112. https:// https://doi.org/10.1007 ...
Profile data as discussed in the Greenhouse and Geisser paper can be characterized by subjects within groups observed over a battery of tests (or one test, say, ...
A rough rule of thumb that lots of researchers use is to check the Greenhouse-Geisser ϵ, and see if it is greater or less than .75. If it is greater than .75, ...