% pubman genre = book-item @incollection{item_2383675, title = {{From nonparametric tests to mixed models: A brief overview of statistical tools frequently used in comparative psychology}}, author = {Mundry, Roger}, language = {eng}, isbn = {1-4338-2350-0; 978-1-4338-2350-3}, doi = {10.1037/0000011-008}, publisher = {American Psychological Association}, address = {US}, year = {2017}, date = {2017-01-23}, abstract = {{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.}}, booktitle = {{APA handbook of comparative psychology Vol 1: Basic concepts, methods, neural substrate, and behavior}}, editor = {Call, Josep and Burghardt, Gordon M. and Pepperberg, Irene M. and Snowdon, Charles T. and Zentall, Thomas}, pages = {157--177}, }