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analysis of covariance

analysis of covariance Analysis of covariance is a statistical method for comparing groups on a quantitative outcome while also accounting for differences in a quantitative covariate that may affect that outcome.

Analysis of covariance is a statistical method for comparing groups on a quantitative outcome while also accounting for differences in a quantitative covariate that may affect that outcome. It is used to make group comparisons more sensitive by adjusting for relevant accompanying variation.

Sources

Drafting source: Schwarz Wolf. The Ancova model for comparing two groups: a tutorial emphasizing statistical distribution theory. 2025; DOI 10.3389/fpsyg.2025.1600764; article XML SHA-256 aa792941289d477f6063f12f5333e22a792f4286f5041a2701e5fffaa111c78e. “The Ancova model for comparing two groups: a tutorial emphasizing statistical distribution theory” (10.3389/fpsyg.2025.1600764).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: aa792941289d477f6063f12f5333e22a792f4286f5041a2701e5fffaa111c78e

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PsychTerms (psychterms.org), CC BY 4.0, version 1. “analysis of covariance.” Development preview.

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analysis of covariance

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Sources

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