Testing Mean Differences among Groups: Multivariate and Repeated Measures Analysis with Minimal Assumptions

• Published in: Multivariate behavioral research Vol. 53; no. 3; pp. 348 - 359
• Main Authors: Bathke, Arne C., Friedrich, Sarah, Pauly, Markus, Konietschke, Frank, Staffen, Wolfgang, Strobl, Nicolas, Höller, Yvonne
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis Ltd 01.05.2018; Routledge
• Subjects: Age Factors; Aged; Alzheimer Disease - diagnosis; Alzheimer Disease - physiopathology; Alzheimer's disease; Between-subjects design; Brain - diagnostic imaging; Brain - physiopathology; Computed tomography; Computer Simulation; Covariance matrix; Data Interpretation, Statistical; Electroencephalography; Female; Humans; Male; Multivariate Analysis; Normality; Photon emission; Sex Factors; Single Photon Emission Computed Tomography Computed Tomography; Within-subjects design; Bootstrap; closed testing; MANOVA; factorial designs; repeated measures

To date, there is a lack of satisfactory inferential techniques for the analysis of multivariate data in factorial designs, when only minimal assumptions on the data can be made. Presently available methods are limited to very particular study designs or assume either multivariate normality or equal...