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 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.Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practicesIncludes new and revised information on standardized usability questionnairesIncludes a completely new chapter introducing correlation, regression, and analysis of varianceShows 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 dataRecommends ways for researchers and practitioners to communicate results to stakeholders in plain English...
|Title||:||Quantifying the User Experience, Second Edition: Practical Statistics for User Research|
|Number of Pages||:||386 Pages|
|File Size||:||595 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Quantifying the User Experience, Second Edition: Practical Statistics for User Research Reviews
Whether you're conducting large sample research projects or small ones, "Quantifying the user experience" is the most comprehensive and pragmatic statistical handbook I've seen that systematically explains various statistical methods for drawing reliable conclusions or determining the optimal sample sizes. Great resource for conducting surveys, A/B tests or (and here they really shine) small sample usability testing projects.
I've been waiting for a book like this for a long time. Most of my user research consulting work is qualitative, but I'm periodically faced with running benchmark usability studies or designing other quantitative user research projects that involve inferential statistics. No more dusting off old college stats textbooks. This book and its Excel and R Companion book are a one-stop shop for determining appropriate quantitative research methods and statistical tests to use in UX work. The authors draw many practical examples from usability studies, tie statistical theory together with practice when using small sample sizes, and even include a crash course in statistical concepts as an appendix. I've been a fan of Jeff Sauro's website for several years now and am very pleased that he and Jim Lewis have authored this exceptional resource.
Extremely valuable book. Will be useful for practitioners and managers of user experience. I've been practicing user research for two decades and a book like this is long overdue. The authors cover the foundations of quantitative user research and present a number of leading edge ideas. They present complex formulas in a way that allows those with just basic skills in statistics to still leverage the techniques presented. They even show you the back of the napkin math on the back of a napkin!
Quantifying the User Experience - Practical Statistics for User Research has been instrumental in my thesis and dissertation related to ERP usability analysis. Sauro and Lewis combine to bring real work pragmatic examples of methods for analyzing data esp., as it relates to small populations of data - often what you have as you process your experiments. The information is laid out very clearly, with examples of usability statistical operations throughout the book. I highly recommend this book to anyone doing usability research and analysis.
Very practical and useful for everyone involved in UX statistics
So far it has been great. I enjoy how the book is organized by questions rather that vague- all encompassing topic. Everything you read has an example. The one downside is that the book and workbook constantly reference an excel calculator that is about $400. I hate to say things are overpriced, but It is way out of the range of any student learner. I won't let it get me down though, still a great book
Great book. Glad to add it to my UX book collection.
The writing is a little too dense for a mainstream read on usability. With the proper background in statistics this book could be wildly helpful (though, it's uncertain if it's necessary with that background). However, without this frame of reference, it was very difficult to follow along the premises mentioned in this book. Considering that a descent sample of UX researchers/designers don't come from this background, it really should be a little more usable itself and speak a little more in the lament.