Modern Statistical Methods for HCI

This§book critically reflects on current statistical methods used in Human-Computer§Interaction (HCI) and introduces a number of novel methods to the reader.§Covering§many techniques and approaches for exploratory data analysis including effect§and power calculations, experimental design, event history analysis,§non-parametric testing and Bayesian inference; the research contained in this§book discusses how to communicate statistical results fairly, as well as§presenting a general set of recommendations for authors and reviewers to§improve the quality of statistical analysis in HCI. Each chapter presents [R]§code for running analyses on HCI examples and explains how the results can be§interpreted.§§Modern§Statistical Methods for HCI is aimed at researchers and graduate students who have some§knowledge of "traditional" null hypothesis significance testing, but who wish§to improve their practice by using techniques which have recently emerged from§statistics and related fields. This book critically evaluates current practices§within the field and supports a less rigid, procedural view of statistics in§favour of fair statistical communication.§