Modern Statistical Methods for HCI Paperback - 2018
by Judy Robertson (Editor); Maurits Kaptein (Editor)
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From the publisher
From the rear cover
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.
Details
- Title Modern Statistical Methods for HCI
- Author Judy Robertson (Editor); Maurits Kaptein (Editor)
- Binding Paperback
- Pages 348
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2018-04-24
- Illustrated Yes
- Features Illustrated
- ISBN 9783319799841 / 3319799843
- Weight 1.14 lbs (0.52 kg)
- Dimensions 9.21 x 6.14 x 0.77 in (23.39 x 15.60 x 1.96 cm)
- Category Computers - General Information
- Dewey Decimal Code 005.437
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Modern Statistical Methods for HCI (Human-Computer Interaction Series)
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by Robertson, Judy
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