%0 Book Section %A Mundry, Roger %+ Department of Developmental and Comparative Psychology, Max Planck Institute for Evolutionary Anthropology, Max Planck Society Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Max Planck Society %T From nonparametric tests to mixed models: A brief overview of statistical tools frequently used in comparative psychology : %G eng %U https://hdl.handle.net/11858/00-001M-0000-002C-4805-D %R 10.1037/0000011-008 %D 2017 %8 23.01.2017 %* Review method: peer-reviewed %X In this chapter, I provide an overview of some of the statistical tools commonly used in comparative psychology (namely, nonparametric and parametric tests) and also of the methods and approaches I foresee becoming increasingly popular in comparative psychology. I begin with treatments of nonparametric tests, analysis of variance (ANOVA), and regression, and I then explain how ANOVA and regression relate to the general linear model and can be expanded to the GLM and mixed models. Throughout, I mention assumptions of these procedures and point out issues about their use as well as design and data limitations they impose. Subsequently, I treat more generic issues, such as the concept of interactions, effect sizes, and confidence intervals, and also briefly touch on model selection and more general issues related to statistical inference. %B APA handbook of comparative psychology Vol 1: Basic concepts, methods, neural substrate, and behavior %E Call, Josep; Burghardt, Gordon M.; Pepperberg, Irene M.; Snowdon, Charles T.; Zentall, Thomas %P 157 - 177 %I American Psychological Association %C US %@ 1-4338-2350-0 978-1-4338-2350-3