Editors:
- Critically examines statistical methodologies used in human-computer interaction
- Provides hands-on explanations of how to apply and interpret modern statistical methods using HCI examples
- Provides [R] code for conducting statistical analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Human–Computer Interaction Series (HCIS)
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Table of contents (14 chapters)
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Front Matter
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Getting Started With Data Analysis
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Front Matter
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Classical Null Hypothesis Significance Testing Done Properly
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Front Matter
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Bayesian Inference
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Front Matter
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Advanced Modeling in HCI
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Front Matter
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Improving Statistical Practice in HCI
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Front Matter
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About this book
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.
Reviews
Editors and Affiliations
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Moray School of Education, Edinburgh University, Edinburgh, United Kingdom
Judy Robertson
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Donders Centre for Cognition, Radboud University Nijmegen, Tilburg, The Netherlands
Maurits Kaptein
Bibliographic Information
Book Title: Modern Statistical Methods for HCI
Editors: Judy Robertson, Maurits Kaptein
Series Title: Human–Computer Interaction Series
DOI: https://doi.org/10.1007/978-3-319-26633-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-26631-2Published: 31 March 2016
Softcover ISBN: 978-3-319-79984-1Published: 24 April 2018
eBook ISBN: 978-3-319-26633-6Published: 22 March 2016
Series ISSN: 1571-5035
Series E-ISSN: 2524-4477
Edition Number: 1
Number of Pages: XX, 348
Number of Illustrations: 77 b/w illustrations
Topics: User Interfaces and Human Computer Interaction, Statistics for Social Sciences, Humanities, Law