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Mixed Model Analysis of Variance

The SAGE Encyclopedia of EducationalResearch, Measurement, and EvaluationMixed Model Analysis of VarianceContributors: Sohad Murrar & Markus BrauerEdited by: Bruce B. FreyBook Title: The SAGE Encyclopedia of Educational Research, Measurement, and EvaluationChapter Title: " Mixed Model Analysis of Variance "Pub. Date: 2018 Access Date: February 26, 2018 Publishing Company: SAGE Publications, : Thousand Oaks,Print ISBN: 9781506326153 Online ISBN: 9781506326139 DOI: pages: 1075-1078 2018 SAGE Publications, All Rights PDF has been generated from SAGE Knowledge. Please note that the pagination ofthe online version will vary from the pagination of the print characteristics of the design and the variables in a research study determine theappropriate statistical Analysis . A Mixed Model Analysis of Variance (or Mixed Model anova ) isthe right data analytic approach for a study that contains (a) a continuous dependent variable,(b) two or more categorical independent variables, (c) at least one independent variable thatvaries between-units, and (d) at least one independent variable that varies within-units.

the differences between two or more independent groups. For example, a simple one-way between-subjects ANOVA may test whether girls or boys have better grades in school. Here, there is one dichotomous independent variable that varies between-subjects (gender). The goal of the ANOVA is to examine whether the mean scores for each group (boys vs ...

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