2003Infection Control and Hospital EpidemiologyRequires access

Take Two Orthogonals and Call Me in the Morning

D Birnbaum

Open publisher page 1 citations

Abstract

Analysis of variance (ANOVA) is used to prevent inflated type I error when hypothesis testing involves comparing more than two groups. If an ANOVA result indicates a statistically significant difference exists somewhere within, the next task is to discover exactly which combination or combinations of those groups account for the significant difference. Among many methods available for that exploration, orthogonal contrasts and relatively simple graphs are noteworthy.

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What this paper is about

Analysis of variance (ANOVA) is used to prevent inflated type I error when hypothesis testing involves comparing more than two groups. If an ANOVA result indicates a statistically significant difference exists somewhere within, the next task is to discover exactly which combination or combinations of those groups account for the significant difference. Among many methods available for that exploration, orthogonal contrasts and relatively simple graphs are noteworthy.

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Available abstract

Analysis of variance (ANOVA) is used to prevent inflated type I error when hypothesis testing involves comparing more than two groups. If an ANOVA result indicates a statistically significant difference exists somewhere within, the next task is to discover exactly which combination or combinations of those groups account for the significant difference. Among many methods available for that exploration, orthogonal contrasts and relatively simple graphs are noteworthy.

Key concepts: Analysis of variance, Significant difference, Morning, Statistics, Mathematics, Mixed-design analysis of variance, Repeated measures design, Variance (accounting)

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