Author(s)
Michal Ordak, PhD
Department of Pharmacotherapy and Pharmaceutical Care
Faculty of Pharmacy
Medical University of Warsaw
Warsaw, Poland
Primary Audience: Pathologists and Clinical Scientists
Secondary Audience: Residents, Laboratory Technologist/Scientist (Includes all sub-specialty areas), Students, Pathologist Assistants, Laboratory Directors and Educators
Upon completion of this activity, you will be able to:
· identify the assumptions underlying repeated measures analysis of variance (RM-ANOVA), including the assumption of sphericity, and recognize when these may be violated;
· explain the purpose and advantage of applying the Friedman Test as a nonparametric alternative for repeated measures data;
· determine how the differences between parametric and nonparametric tests influence statistical conclusions in repeated measures analysis; and
· compare and contrast discrepancies in results when analyzing the same dataset using different statistical approaches, including implications for laboratory practice.