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Modern Statistical Methods for HCI (Human–Computer Interaction Series)

Modern Statistical Methods for HCI (Human–Computer Interaction Series)

Modern Statistical Methods for HCI (Human–Computer Interaction Series)
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Modern Statistical Methods for HCI (Human–Computer Interaction Series) Papeback -

by Judy Robertson (Editor); Maurits Kaptein (Editor)

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Springer , pp. 368 . Papeback. New.
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Details

  • Title Modern Statistical Methods for HCI (Human–Computer Interaction Series)
  • Author Judy Robertson (Editor); Maurits Kaptein (Editor)
  • Binding Papeback
  • Condition New
  • Pages 348
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 368
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6384013373
  • 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
  • Quantity available 4

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Reader reviews for Modern Statistical Methods for HCI (Human–Computer Interaction Series)

From the publisher

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 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.

From the rear cover

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.


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