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An One-Way ANCOVA is an ANCOVA Parametric Statistical Test that compares the means two or more independent samples, groups, interventions or scores by evaluating the differences in adjusted means for the covariate.




  • (Horn, 2019) ⇒ Robert A. Horn (2019). "Umderstanding Aanalysis of Covariance". "Educational Psychology 625: Intermediate Statistics" Course Handout. Copyright: 2008 Northern Arizona University. Published Online: 2008. Retrieved: 2019-04-12.
    • QUOTE: A one-way analysis of covariance (ANCOVA) evaluates whether population means on the dependent variable are the same across levels of a factor (independent variable), adjusting for differences on the covariate, or more simply stated, whether the adjusted group means differ significantly from each other. With a one-way analysis of covariance, each individual or case must have scores on three variables: a factor or independent variable, a covariate, and a dependent variable. The factor divides individuals into two or more groups or levels, while the covariate and the dependent variable differentiate individuals on quantitative dimensions. The one-way ANCOVA is used to analyze data from several types of studies; including studies with a pretest and random assignment of subjects to factor levels, studies with a pretest and assignment to factor levels based on the pretest, studies with a pretest, matching based on the pretest, and random assignment to factor levels, and studies with potential confounding (Green & Salkind, 2003).