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mixed-model analysis of variance

mixed-model analysis of variance Mixed-model analysis of variance is a statistical method used when a study includes both between-subjects factors, such as different groups, and within-subjects factors, such as repeated measurements over time.

Mixed-model analysis of variance is a statistical method used when a study includes both between-subjects factors, such as different groups, and within-subjects factors, such as repeated measurements over time. It tests effects across both kinds of comparisons in the same analysis.

Sources

Drafting source: Michalski Stefan Carlo; Szpak Ancret; Saredakis Dimitrios; Ross Tyler James; Billinghurst Mark; Loetscher Tobias. Getting your game on: Using virtual reality to improve real table tennis skills. 2019; DOI 10.1371/journal.pone.0222351; article XML SHA-256 153fa569d3bf17c46504f3976da04772c8f697947b69cf777838d6d17daf167c. “Getting your game on: Using virtual reality to improve real table tennis skills” (10.1371/journal.pone.0222351).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: 153fa569d3bf17c46504f3976da04772c8f697947b69cf777838d6d17daf167c

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PsychTerms (psychterms.org), CC BY 4.0, version 1. “mixed-model analysis of variance.” Development preview.

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mixed-model analysis of variance

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Sources

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