- Cover
- Title page
- Table of Contents
- Copyright
- Dedication
- Biographies
- Foreword
- Preface to the Second Edition
- Acknowledgments
- Chapter 1: Introduction and how to use this book
- Chapter 2: Quantifying user research
- Chapter 3: How precise are our estimates? Confidence intervals
- Chapter 4: Did we meet or exceed our goal?
- Chapter 5: Is there a statistical difference between designs?
- Chapter 6: What sample sizes do we need? Part 1: summative studies
- Abstract
- Introduction
- Estimating values
- Comparing values
- What can I do to control variability?
- Sample size estimation for binomial confidence intervals
- Sample size estimation for chi-squared tests (independent proportions)
- Sample size estimation for McNemar Exact Tests (matched proportions)
- Key points
- Chapter review questions
- Answers to chapter review questions
- Chapter 7: What sample sizes do we need? Part 2: formative studies
- Abstract
- Introduction
- Using a probabilistic model of problem discovery to estimate sample sizes for formative user research
- Assumptions of the binomial probability model
- Additional applications of the model
- What affects the value of p?
- What is a reasonable problem discovery goal?
- Reconciling the “Magic Number Five” with “Eight is Not Enough”
- More about the binomial probability formula and its small-sample adjustment
- Other statistical models for problem discovery
- Key points
- Chapter review questions
- Answers to chapter review questions
- Chapter 8: Standardized usability questionnaires
- Chapter 9: Six enduring controversies in measurement and statistics
- Abstract
- Introduction
- Is it OK to average data from multipoint scales?
- Do you need to test at least 30 users?
- Should you always conduct a two-tailed test?
- Can you reject the null hypothesis when p > 0.05? > 0.05?
- Can you combine usability metrics into single scores?
- What if you need to run more than one test?
- Key points
- Chapter review questions
- Answers to chapter review questions
- Chapter 10: An introduction to correlation, regression, and ANOVA
- Chapter 11: Wrapping up
- Appendix: A crash course in fundamental statistical concepts
- Subject Index
Quantifying the User Experience
Practical Statistics for User Research
2nd Edition
Jeff Sauro
James R. Lewis
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