This video is an introduction to the Mixed ANOVA (Two-Way Repeated Measures Analysis of Variance, Mixed-Design ANOVA, Split-Plot ANOVA, SPANOVA), including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. The assumptions of normality, homogeneity of variances, homogeneity of covariance matrices, and sphericity are reviewed.
Introduction to Two-Way Mixed ANOVA (Split-Plot ANOVA, SPANOVA)
Теги
Introductionlecturestatisticsinferential statisticsmixed ANOVAmixedANOVAmixed-designsplit plotsplit plot anovaSPANOVAtwo-wayrepeated measures analysis of variancerepeated measuresrm anovawithin-subjectsbetween-subjectsMauchly’sBox’sShapiro-WilkLevene’svariancecovariancehomogeneitycompare meanscontinuousnormalitynormal distributionnull hypothesesvariablestatistical significancedataanalysisGrandeinteractioninteraction effectmain effect
