Greenhouse-Geisser校正公式是一种用于修正F统计量的方法,常用于分析因素设计的方差分析。在SPSS等统计学软件中,此方法被广泛使用,主要用于对违反球形假设的数据进行校正。 当数据不满足球面性时,即存在违反球形假设的情况,我们就需要对F统计量的自由度进行修正。此时,最常用的修正方法就是Greenhouse-Geisser校正。同时,...
但很容易矫正,若被试内水平多于2个时,检查Mauchly’s test是否显著,如果显著,报告chi-squared (χ2),自由度,p与epsilon (ε);然后报告所有涉及此因素的Greenhouse-Geisser的校正值(保留适当的小数位数)。
Greenhouse-Geisser 校正 违反了球形检验后,可以使用该校正. 校正得到的epsilon 假设因素水平个数为k=3,每个水平下有n=10个数 则因素自由度a1=epsilon(k-1) 误差自由度a2=epsilon(k-1)(n-1) F(a1,a2)
网络释义 1. 交互效应检定 诊断组别之交互效应检定(Greenhouse-geisser) ... 53 www.tfrd.org.tw|基于2个网页 2. 校正系数来校正 ...球形假设时无需 ε 校正,不满足球形假设时用 ε校正系数来校正( 按Greenhouse-Geisser法) 。 www.zhazhi.com|基于 1 个网页...
2010The Greenhouse-Geisser CorrectionHerv´ e Abdi1 Overview and backgroundWhen performing an analysis of variance with a one factor repeatedmeasurement design, the effect of the independent variable is testedby computing an F statistic which is computed as the ratio of the ofmean square of ...
Greenhouse-Geisser And Huynh-Feldt EpsilonsHans Rudolf Roth
2.1 Greenhouse-Geisser correction Box’s approach works for the population covariance matrix, but, un- fortunately, in general this matrix is not known. In order to estimate ε we need to transform the sample covariance matrix into an esti- mate of the population covariance matrix. In order to...
In Neil Salkind (Ed.),Encyclopedia of Research Design. Thousand Oaks, CA: Sage. 2010 The Greenhouse-Geisser Correction Herv′e Abdi 1 Overview and background When performing an analysis of variance with a one factor repeated measurement design, the e?ect of the independent variable is tested ...
This convergence indicates the close theoretical and practical relationships between the ANOVA-type statistic and the GreenhouseGeisser F adjustment, which has the useful consequence that software implementations of the latter also can be used to perform many of the nonparametric tests discussed by ...
Since the Geisser-Greenhouse correction has been shown to be a practical and effective adjustment procedure it seems reasonable that it also may be a good measure of the effect of correlation structure on the analysis. The first order autocorrelation dispersion structure may be appropriate for many ...