Evaluating the robustness of repeated measures analyses: The case of small sample sizes and nonnormal data

• Published in: Behavior research methods Vol. 45; no. 3; pp. 792 - 812
• Main Authors: Oberfeld, Daniel, Franke, Thomas
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.09.2013; Springer Nature B.V
• Subjects: Analysis of Variance; Behavioral Science and Psychology; Cognitive Psychology; Experiments; Humans; Male; Medical research; Models, Statistical; Neurosciences; Normal Distribution; Psychology; Psychology, Experimental - methods; Research Design; Sample Size; Studies; Small sample settings; Correlated data; Nonnormality; Mixed model analyses; Multilevel model; Type I error rate; Simulation study; Central limit theorem; Monte Carlo; Robustness; Multivariate; Analysis of variance; Repeated measurements

Repeated measures analyses of variance are the method of choice in many studies from experimental psychology and the neurosciences. Data from these fields are often characterized by small sample sizes, high numbers of factor levels of the within-subjects factor(s), and nonnormally distributed respon...