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Modern Statistical Methods for HCI
Hardcover
Series: Human-Computer Interaction
General ComputersGeneral Sociology
ISBN13: 9783319266312
Publisher: Springer Nature
Published: Mar 31 2016
Pages: 348
Weight: 1.53
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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 relatedfields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.
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