Quantifying the User Experience: Practical Statistics for User Research

Quantifying the User Experience: Practical Statistics for User Research

5.0 1
by Jeff Sauro
     
 

ISBN-10: 0123849683

ISBN-13: 9780123849687

Pub. Date: 03/30/2012

Publisher: Elsevier Science

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

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Overview

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/

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Product Details

ISBN-13:
9780123849687
Publisher:
Elsevier Science
Publication date:
03/30/2012
Pages:
312
Sales rank:
396,222
Product dimensions:
7.48(w) x 9.02(h) x 0.74(d)

Table of Contents

Dedication Acknowledgements 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? Part 1: Summative Studies Chapter 7: What Sample Sizes Do We Need? Part 2: Formative Studies Chapter 8: Standard Usability Questionnaires Chapter 9: Six Enduring Controversies in Measurement and Statistics Chapter 10: Wrapping Up Appendix Index

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Quantifying the User Experience: Practical Statistics for User Research 5 out of 5 based on 0 ratings. 1 reviews.
FRINGEINDEPENEDENTREVIEW More than 1 year ago
Do you measure the behavior and attitudes of people as they interact with interfaces? If you do, then this book is for you! Authors Jeff Sauro and James R Lewis have done an outstanding job of writing a book that is about working backwards from the most common questions and problems you’ll encounter, as you conduct, analyze and report on user research projects. Authors Sauro and Lewis, begin by showing you how to quantify data from small sample sizes and use statistics to draw conclusions. In addition, the authors show you how to use confidence intervals around all point estimates to understand the most likely range of the unknown population mean or proportion. They then help you use the mid-probability from the binomial distribution in order to determine whether a certain percentage of users can complete a task for small and large sample sizes. The authors then, help you determine which statistical test you need to use, in order to identify whether your outcome measure is binary or continuous; and, whether you have the same users in each group or a different set of users. They continue by showing you how to obtain a sample size estimation formula, by taking the formula for the appropriate test and solve for n. In addition, the authors describe why the limited data available indicates that even with the overestimation problem, the discrepancies between observed and expected numbers of problems are not large. They then describe 24 standardized questionnaires designed to assess perceptions of usability or related constraints. The authors then show you why you should use two-tailed testing for most user research. Finally, they discuss the most common issues that arise in user research. The primary purpose of this most excellent book is to provide a statistical resource for those who measure the behavior and attitudes of people as they interact with interfaces. Perhaps more importantly, as an aid to the persistent problem of remembering what method to use under what circumstances, this book contains decision maps to guide researchers to the appropriate method.