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 easy-to-use excel formulas and web-calculators 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 Chi-Square 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 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 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
- t-Distribution
- Significance Testing and p-Values
- 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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