- Paperback: 312 pages
- Publisher: Morgan Kaufmann; 1 edition (March 16, 2012)
- Language: English
- ISBN-10: 0123849683
- ISBN-13: 978-0123849687
- Product Dimensions: 7.5 x 0.7 x 9.2 inches
- Shipping Weight: 1.5 pounds
- Average Customer Review: 10 customer reviews
- Amazon Best Sellers Rank: #1,278,353 in Books (See Top 100 in Books)
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Quantifying the User Experience: Practical Statistics for User Research 1st Edition
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"...the definitive book on inferential statistics for usability researchers. The authors present the equations, discussions, and examples for and in the context of usability studies, primarily usability testing." --Technical Communication
"Quantifying the User Experience will make a terrific textbook for any series of UX research courses…I highly recommend this book to anyone who wants to integrate quantitative data into their UX practice."--Technical Communication, May 2013 "…as a whole, it provides a pragmatic approach to quantifying UX, without oversimplifying or claiming too much. It delivers what it promises. This book is valuable for both practitioners and students, in virtually any discipline. It can help psychologists transfer their statistical knowledge to UX practice, practitioners quickly assess their envisioned design and analysis, engineers demystify UX, and students appreciate UX’s merits."--ComputingReviews.com, March 19, 2013 "The most unique contributions of this book are the logic and practicality used to describe the appropriate application of those measures…Sauro and Lewis strike a perfect balance between the complexity of statistical theory and the simplicity of applying statistics practically. Whether you wish to delve deeper into the enduring controversies in statistics, or simply wish to understand the difference between a t-test and Chi-square, you will find your answer in this book. Quantifying the User Experience is an invaluable resource for those who are conducting user research in industry."--User Experience, Vol. 13, Issue 1, 1st Quarter "Written in a conversational style for those who measure behavior and attitudes of people as they interact with technology interfaces, this guide walks readers through common questions and problems encountered when conducting, analyzing, and reporting on user research projects using statistics, such as problems related to estimates and confidence intervals, sample sizes, and standardized usability questionnaires. For readers with varied backgrounds in statistics, the book includes discussion of concepts as necessary and gives examples from real user research studies. The book begins with a background chapter overviewing common ways to quantify user research and a review of fundamental statistical concepts. The material provides enough detail in its formulas and examples to let readers do all computations in Excel, and a website offers an Excel calculator for purchase created by the authors, which performs all the computations covered in the book. An appendix offers a crash course on fundamental statistical concepts."--Reference and Research Book News, August 2012, page 186-7
About the Author
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.
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).
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Rather than starting with a description of various statistical theories, the authors begin with specific user research scenarios and then introduce the theoretical methods they feel most suitable for planning or analyzing these scenarios. They don't shy away from sharing their pragmatic preferences for particular methods, based on their own experience working in the field.
I find the book useful also beyond user experience testing scenarios - it is a great resource for any user-oriented research, including various types of marketing research.
The decision maps for application of specific techniques and the discussion of statistical controversies will be particularly useful for intermediate practitioners. Also, there are copious references which provide for additional learning, reference, and citations to apply to your own research.
While I do ascertain that the reading is detailed and knowledgeable, I didn't personally get much out of it for understanding of the background logic behind the equations. This is why I give it 3 stars.
By following it chapter through chapter, Jeff will run you through the most important statistical tools and knowledge that is necessary for you to actually measure the user experience. I have read this within three days, marked every little spot that seemed to be important and after this I was planning my studies. Impossible to say how happy I was, when I saw that Jeff is also spending a whole chapter on questionaires. For example, he will explain why the have to be undergone "psychometric qualification" (totally new information for me). But you wont be left alone with this information. Right after he is sheding light on the most common questionaire types (post task and post test questionaires) plus the statistical analysis.
I could be writing a lot more here at this point (and I probably will when my thesis is done) but for now let me tell you: Read this book and see how interesting/helpful and essential statistics are when doing user research.
Great job, full recommendation!