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Doing better statistics in human-computer interaction

Author: Paul Cairns
Publisher: Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019. ©2019
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the  Read more...
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Document Type: Book
All Authors / Contributors: Paul Cairns
ISBN: 9781108482523 110848252X 9781108710596 110871059X
OCLC Number: 1049269723
Description: xvi, 235 pages : illustrations ; 24 cm
Contents: Getting started; Part I. Why We Use Statistics: 1. How statistics support science; 2. Testing the null; 3. Constraining Bayes; 4. Effects: what tests test; Part II. How To Use Statistics: 5. Planning your statistical analysis; 6. A cautionary tail: why you should not do a one-tailed test; 7. Is this normal?; 8. Sorting out outliers; 9. Power and two types of error; 10. Using nonparametric tests; 11. A robust t-test; 12. The ANOVA family and friends; 13. Exploring, over-testing and fishing; 14. When is a correlation not a correlation?; 15. What makes a good Likert item?; 16. The meaning of factors; 17. Unreliable reliability: the problem of Cronbach's alpha; 18. Tests for questionnaires.
Responsibility: Paul Cairns (University of York).

Abstract:

Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers'  Read more...

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Advance praise: 'If you, and your experiments, have been bruised by statistical misfortune, then this is the book for you. Paul Cairns' wise and pragmatic advice talks us through the practical use of Read more...

 
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