Book description
Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales.The book discusses ways to quantify user research; summarize data and compute margins of error; determine appropriate samples sizes; standardize usability questionnaires; and settle controversies in measurement and statistics. Each chapter concludes with a list of key points and references. Most chapters also include a set of problems and answers that enable readers to test their understanding of the material. This book is a valuable resource for those engaged in measuring the behavior and attitudes of people during their interaction with interfaces.
 Provides practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices
 Show practitioners which test to use, why they work, best practices in application, along with easytouse excel formulas and webcalculators for analyzing data
 Recommends ways for practitioners to communicate results to stakeholders in plain English
Resources and tools available at the authors’ site: http://www.measuringu.com/
Table of contents
 Cover Image
 Content
 Title
 Copyright
 Dedication
 Acknowledgments
 About the Authors
 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?
 Introduction
 Estimating Values
 Comparing Values
 What can I Do to Control Variability?
 Sample Size Estimation for Binomial Confidence Intervals
 Sample Size Estimation for ChiSquare Tests (Independent Proportions)
 Sample Size Estimation for McNemar Exact Tests (Matched Proportions)
 Key Points from the Chapter
 Chapter Review Questions
 References

Chapter 7. What Sample Sizes Do We Need?
 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 5” with “Eight Is Not Enough”
 More about the Binomial Probability Formula and Its Small Sample Adjustment
 Other Statistical Models for Problem Discovery
 Key Points from the Chapter
 Chapter Review Questions
 References
 Chapter 8. Standardized Usability Questionnaires

Chapter 9. Six Enduring Controversies in Measurement and Statistics
 Introduction
 Is It Okay to Average Data from Multipoint Scales?
 Do You Need to Test at Least 30 Users?
 Should You Always Conduct a TwoTailed 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 from the Chapter
 Chapter Review Questions
 References
 Chapter 10. Wrapping Up

APPENDIX. A Crash Course in Fundamental Statistical Concepts
 Introduction
 Types Of Data
 Populations and Samples
 Measuring Central Tendency
 Standard Deviation and Variance
 The Normal Distribution
 Area Under the Normal Curve
 Applying the Normal Curve to User Research Data
 Central Limit Theorem
 Standard Error of the Mean
 Margin of Error
 tDistribution
 Significance Testing and pValues
 The Logic of Hypothesis Testing
 Errors in Statistics
 Key Points from the Appendix
 Index
Product information
 Title: Quantifying the User Experience
 Author(s):
 Release date: March 2012
 Publisher(s): Morgan Kaufmann
 ISBN: 9780123849694
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