Quantifying the User Experience
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Quantifying the User Experience

Practical Statistics for User Research

2nd Edition - July 12, 2016

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  • Authors: Jeff Sauro, James Lewis
  • eBook ISBN: 9780128025482
  • Paperback ISBN: 9780128023082

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Description

Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout.

Key Features

  • Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices
  • Includes new and revised information on standardized usability questionnaires
  • Includes a completely new chapter introducing correlation, regression, and analysis of variance
  • Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data
  • Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English

Readership

Usability and user experience practitioners, information architects, interaction designers, business analysts, market researchers, and students in these and related fields

Table of Contents

  • 1. Introduction and How to Use This Book
    2. Quantifying User Research
    3. How Precise Are Our Estimates? Confidence Intervals
    4. Did We Meet or Exceed Our Goal?
    5. Is There a Statistical Difference between Designs?
    6. What Sample Sizes Do We Need? Part 1: Summative Studies
    7. What Sample Sizes Do We Need? Part 2: Formative Studies
    8. Standard Usability Questionnaires
    9. Six Enduring Controversies in Measurement and Statistics
    10. Correlation, Regression, and the Analysis of Variance
    11. Wrapping Up

Product details

  • No. of pages: 350
  • Language: English
  • Copyright: © Morgan Kaufmann 2016
  • Published: July 12, 2016
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9780128025482
  • Paperback ISBN: 9780128023082

About the Authors

Jeff Sauro

Dr. Jeff Sauro is a six-sigma trained statistical analyst and founding principal of MeasuringU, a customer experience research firm based in Denver. For over fifteen years he’s been conducting usability and statistical analysis for companies such as Google, eBay, Walmart, Autodesk, Lenovo and Drobox or working for companies such as Oracle, Intuit and General Electric.

Jeff has published over twenty peer-reviewed research articles and five books, including Customer Analytics for Dummies. He publishes a weekly article on user experience and measurement online at measuringu.com.

Jeff received his Ph.D in Research Methods and Statistics from the University of Denver, his Masters in Learning, Design and Technology from Stanford University, and B.S. in Information Management & Technology and B.S. in Television, Radio and Film from Syracuse University. He lives with his wife and three children in Denver, CO.

Affiliations and Expertise

Usability Metrics and Statistical Analyst, Measuring Usability LLC, CO, USA

James Lewis

Dr. James R. (Jim) Lewis is a senior human factors engineer (at IBM since 1981) with a current focus on the measurement and evaluation of the user experience. He is a Certified Human Factors Professional with a Ph.D. in Experimental Psychology (Psycholinguistics), an M.A. in Engineering Psychology, and an M.M. in Music Theory and Composition. Jim is an internationally recognized expert in usability testing and measurement, contributing (by invitation) the chapter on usability testing for the 3rd and 4th editions of the Handbook of Human Factors and Ergonomics, presenting tutorials on usability testing and metrics at various professional conferences, and serving as the keynote speaker at HCII 2014. He was the lead interaction designer for the product now regarded as the first smart phone, the Simon, and is the author of Practical Speech User Interface Design.

Jim is an IBM Master Inventor Emeritus with 88 patents issued to date by the US Patent Office. He serves on the editorial board of the International Journal of Human-Computer Interaction, is co-editor in chief of the Journal of Usability Studies, and is on the scientific advisory board of the Center for Research and Education on Aging and Technology Enhancement (CREATE). He is a member of the Usability Professionals Association (UPA), the Human Factors and Ergonomics Society (HFES), the ACM Special Interest Group in Computer-Human Interaction (SIGCHI), past-president of the Association for Voice Interaction Design (AVIxD), and is a 5th degree black belt and certified instructor with the American Taekwondo Association (ATA).

Affiliations and Expertise

Senior Human Factors Engineer, IBM, FL, USA

Ratings and Reviews

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  • Eiman A. Wed Mar 17 2021

    Wish there are more books as well

    I have just passed my Ph.D. viva a month ago, as a researcher, my work involves designing statistical analysis plans for my studies. While the statistical consultation service provided by my university was always helpful in confirming that I was on the right track, I desire to have a good comprehension of its content and rational but struggled in several occasions due to the statistic literature complexity and difficulty to read and comprehend for amateurs like my self. I haven't read the whole book but the chapters I've read were simple, easy to understand and I was able to cite and quote them when needed. I hope more books and articles like this will be published in the future to aid researchers like myself who wish to understand statistics better and those who are not always privileged with access to expert consultation. I have accessed the book through my university library but I plan to buy it as well. Thank you!