Doing Better Statistics in Human-Computer Interaction

ISBN-13: 9781108482523 / Angielski / Twarda / 2019 / 250 str.

Paul Cairns

Opis

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

Recenzje

'This is a must-read for novice or well-established researchers alike, who are worried about whether they are conducting the correct statistical analyses of their data. Paul Cairns makes learning about statistics seem both fun and interesting. I'm confident that this book will positively impact the quality of future Human-Computer Interaction research.' Anna L. Cox, University College London Interaction Centre

Spis treści

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.