Quantifying the User Experience: Practical Statistics for User Research by Jeff Sauro, James R Lewis | | Paperback | Barnes & Noble
Quantifying the User Experience: Practical Statistics for User Research

Quantifying the User Experience: Practical Statistics for User Research

5.0 1
by Jeff Sauro, James R Lewis
     
 

ISBN-10: 0123849683

ISBN-13: 9780123849687

Pub. Date: 03/30/2012

Publisher: Elsevier Science

You're being asked to quantify your usability improvements with statistics. But even with a background in statistics, you are hesitant to statistically analyze their data, as they are often unsure which statistical tests to use and have trouble defending the use of small test sample sizes.

The book is about providing a practical guide on how to solve common

Overview

You're being asked to quantify your usability improvements with statistics. But even with a background in statistics, you are hesitant to statistically analyze their data, as they are often unsure which statistical tests to use and have trouble defending the use of small test sample sizes.

The book is about providing a practical guide on how to solve common quantitative problems arising in usability testing with statistics. It addresses common questions you face every day such as: Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on the 1st attempt? How long will it take users to purchase products on the website? This book shows you which test to use, and how provide a foundation for both the statistical theory and best practices in applying them. The authors draw on decades of statistical literature from Human Factors, Industrial Engineering and Psychology, as well as their own published research to provide the best solutions. They provide both concrete solutions (excel formula, links to their own web-calculators) along with an engaging discussion about the statistical reasons for why the tests work, and how to effectively communicate the results.

    • 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

    Product Details

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

    Table of Contents


    1. How to use this book

    2. What are the limits of small sample usability data?

    3. Measuring Usability: Quantifiable Aspects of Usability

    4. Fundamental Statistical Concepts

    5. How precise are our estimates?

    6. Did we meet or exceed our goal?

    7. Is there a statistical difference between products?

    8. What sample sizes do we need?

    9. Attitudinal Measurement with Questionnaires

    10. Practical Considerations

    11. Common Experimental Designs for Usability Test

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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.