Power Analysis for an ANCOV If you add one or more covariates to your ANOVA model, and they are well correlated with the outcome variable, then the error term will be reduced and power will be increased. The effect of - Testing effect - Document - PDFSEARCH.IO

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	Power Analysis for an ANCOV If you add one or more covariates to your ANOVA model, and they are well correlated with the outcome variable, then the error term will be reduced and power will be increased. The effect of Add to Reading List Document Date: 2009-10-24 18:03:59 Open Document File Size: 223,00 KB Share Result on Facebook City Belmont / / Company Google / / Country United States / / Facility Psychology East Carolina University / / Organization s_Stats_Lessons_Page_ Karl L. Wuensch Department of Psychology East Carolina University Greenville / / Person Karl L. Wuensch / Natalie Cross / / ProgrammingLanguage R / / ProvinceOrState North Carolina / / PublishedMedium Psychological Bulletin / / Technology alpha / / URL http / SocialTag Hypothesis testing Statistical tests Parametric statistics Statistical power Variance Covariate Experiment F-test Effect size Statistics

Power Analysis for an ANCOV If you add one or more covariates to your ANOVA model, and they are well correlated with the outcome variable, then the error term will be reduced and power will be increased. The effect of Add to Reading List