Table of Contents

Cover

Title page

Copyright

Dedication

Biographies

Foreword

Preface to the Second Edition

Acknowledgments

Chapter 1: Introduction and how to use this book

Abstract

Introduction

The organization of this book

How to use this book

Key points

Chapter review questions

Answers to chapter review questions

Chapter 2: Quantifying user research

Abstract

What is user research?

Data from user research

Usability testing

A/B testing

Survey data

Requirements gathering

Key points

Chapter 3: How precise are our estimates? Confidence intervals

Abstract

Introduction

Confidence interval for a completion rate

Confidence interval for rating scales and other continuous data

Key points

Chapter review questions

Answers to chapter review questions

Chapter 4: Did we meet or exceed our goal?

Abstract

Introduction

One-tailed and two-tailed tests

Comparing a completion rate to a benchmark

Comparing a satisfaction score to a benchmark

Comparing a task time to a benchmark

Key points

Chapter review questions

Answers to chapter review questions

Chapter 5: Is there a statistical difference between designs?

Abstract

Introduction

Comparing two means (rating scales and task times)

Comparing completion rates, conversion rates, and A/B testing

Key points

Chapter review questions

Answers to chapter review questions

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

Abstract

Introduction

Post-study questionnaires

Post-task questionnaires

Questionnaires for assessing perceived usability of websites

Other questionnaires of interest

Key points

Chapter review questions

Answers to chapter review questions

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?

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

Abstract

Introduction

Correlation

Coefficient of determination (R2)

Regression

Analysis of variance

Key points

Chapter review questions

Answers to chapter review questions

Appendix: derivation of sample size formulas for regression

Chapter 11: Wrapping up

Abstract

Introduction

Getting more information

Good luck!

Key points

Appendix: A crash course in fundamental statistical concepts

Subject Index

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