Modern Statistical Methods for HCI

By: Judy Robertson and Maurits Kaptein

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Synopsis: Thisbook critically reflects on current statistical methods used in Human-ComputerInteraction (HCI) and introduces a number of novel methods to the reader. Coveringmany techniques and approaches for exploratory data analysis including effectand power calculations, experimental design, event history analysis,non-parametric testing and Bayesian inference; the research contained in thisbook discusses how to communicate statistical results fairly, as well aspresenting a general set of recommendations for authors and reviewers toimprove the quality of statistical analysis in HCI. Each chapter presents [R]code for running analyses on HCI examples and explains how the results can beinterpreted. ModernStatistical Methods for HCI is aimed at researchers and graduate students who have someknowledge of "traditional" null hypothesis significance testing, but who wishto improve their practice by using techniques which have recently emerged fromstatistics and related fields. This book critically evaluates current practiceswithin the field and supports a less rigid, procedural view of statistics infavour of fair statistical communication.