. . . . . . . . . . . . . ...... ...... ..... .... 21 Exact Confidence Interval. . . . . . . . We have Quantifying the User Experience: Practical Statistics for User Research doc, txt, DjVu, ePub, PDF forms. I get my most wanted eBook. . Our focus is on methods applicable to practical user research, based on our experience, • investigations, and reviews of the latest statistical literature. . . Now we’re at the “3 or More Groups” box—we have only two groups of users (before and after) so we select “N.” 5. . . 143 Using a Probabilistic Model of Problem Discovery to Estimate Sample Sizes for Formative User Research. . . . . . Y Y N Different users in each group? . . . . 3. . . Jim xiii, About the Authors Jeff Sauro is a six-sigma trained statistical analyst and founding principal of Measuring Usability LLC. . . . . . . . . . . . . . . . . . . . . . . . . . 15 Rating Scales...... ...... ...... ...... ....... ...... ...... ...... ...... ...... 15 Net Promoter Scores. . . . . . . . . . . . . . . . . . . . . . . . . . See Example 6 on p. 116. . . . . . . Finally, at “Task Time?,” take the “Y” path, which leads you to “1-Sample t (Log).” As shown in Table 1.1, you’ll find that method discussed in Chapter 4 in the “Comparing a Task Time to a Benchmark” section on p. 54. . . . . . . . . . . . . . . . . . . . By comparing data we mean comparing data from two or more groups (e.g., task completion times for Products A and B; see Chapter 5) or comparing your data to a benchmark (e.g., is the completion rate for Pro- duct A significantly above 70%; see Chapter 4). . . . . . . . . . . . . . . . . . . . . . 3. . . . . . . . . . ISBN: 978-0-12-384968-7 For information on all MK publications visit our website at www.mkp.com Typeset by: diacriTech, Chennai, India Printed in the United States of America 12 13 14 15 16 10 9 87654321, To my wife Shannon: For the love and the life between the logarithms - Jeff To Cathy, Michael, and Patrick - Jim, Contents Acknowledgments........ ................ ................. ................. ................ .. xiii About the Authors. . . . . . . . . . . . . Binary data? . . . . . . . . . 253 Can you Combine Usability Metrics into Single Scores?. . . . . . . . . . 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 design and evaluation of speech applications and is the author of Practical Speech User Interface Design. . . . . . . . . . . . . . . . . . . . . . ....... ...... ...... ..... 280 Central Limit Theorem. 3 or more groups? . . . 232 References..... ....... ...... ....... ....... ....... ....... ....... ....... ....... 236 CHAPTER 9 Six Enduring Controversies in Measurement and Statistics. . 251 On the Other Hand. . . . . . . . . . To get an estimate of precision you compute a confidence interval around your sample metrics (e.g., what is the margin of error around a completion rate of 70%; see Chapter 3). . 188 QUIS (Questionnaire for User Interaction Satisfaction). . . 160 Some More History: The 1990s. . . . . Y N Margin of Margin of error error proportion mean (ch 6) (ch 6) FIGURE 1.4 Decision map for sample sizes for estimating precision or detection. . . . . . . . . . . . . . . . ..... ..... .... ..... ... 33 Confidence Interval Around a Median. . . . . . . . . Conversion-rate data are binary-discrete, so start with the decision map in Figure 1.2. . . . . . . . This takes you to “2 Means,” which, according to Table 1.3, is discussed in Chapter 6 in the “Comparing Values” section. . . . . . . . 20 Confidence Interval for a Completion Rate. . . . . . . . . . . . . . . . .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 157, Contents x What is a Reasonable Problem Discovery Goal?. . 283 Significance Testing and p-Values. . . . . . . . . . . . . . . . . . . . . We also provide: Background chapters with an overview of common ways to quantify user research (Chapter 2) • and a quick introduction/review of many fundamental statistical concepts (Appendix). . . . . . . . . . . . . . . . . . . . . . . . 273 Types of Data. . . . . . . . . . . 16 Comments and Open-ended Data. . . For many, statistics is a subject they know they should under- stand, but it often brings back bad memories of high school math, poor teachers, and an abstract and difficult topic. . . AkagawaPublishing TEXT ID 270d72bb Online PDF Ebook Epub Library 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 . References Lewis, J.R., Sauro, J., 2012. . . . . . . . . . McNemar Wald confidence exact test Y N interval (ch 5) (ch 3) Adjusted Wald confidence 1-sample 1-sample interval for z-test binomial difference in (ch 4) (ch 4) matched proportions (ch 5) FIGURE 1.2 Decision map for analysis of discrete-binary data (e.g., completion rates or conversion rates). . . . . . . Binary data? . . . . . . . . . . . . 128 Sample Size Estimation for McNemar Exact Tests (Matched Proportions). . . . . . . Download File PDF Quantifying The User Experience Practical Statistics For User Researchbelong to to buy and create bargains to download and install quantifying the user experience practical statistics for user research for that reason simple! . . . xv CHAPTER 1 Introduction and How to Use This Book. ... ... ... ... .. ... ... ... ... ... .. 162 Eight Is Not Enough: A Reconciliation. 272 Key Points from the Chapter. . Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. . . . . . . In fact, we know many practitioners who find the field appealing because it largely avoids those impersonal numbers. . . 185 Introduction. . . . . . The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. . . . . . . ........ ........ ........ ........ ........ ........ . . . . . . . . . . . . . . . . . . . . . It is available for purchase online at www.measuringusability.com/ products/expandedStats. . . . . . . Details on how to seek permission, further information about the Publisher’s permissions policies, and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions. . 1. . . Jeff Writing a book takes a big chunk out of your life. . . . . . . . . . . . Buy Quantifying the User Experience: Practical Statistics for User Research by Sauro, Jeff (ISBN: 9780123849687) from Amazon's Book Store. . . . . . . . . . . . . . . . . . .... ... .... .... ... .... .... .... ... .... .... ... .... .... 16 Key Points from the Chapter. . . . In our experience, one of the hardest things to remember in applying statistics is what statistical test to perform when. . . . In using such information or methods they should be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility. . . . . . . . .... ... ... ... ... . . . . . . ........ ........ ........ ........ ........ ........ . .... ... .... ... ... .... ... ... 157 Reconciling the “Magic Number 5” with “Eight is not Enough”. . . . . . . . 14 Errors. . . . . . . T1 - Review: Quantifying the user experience by J. Sauro and J. Lewis. . . . . . . 256 On One Hand. . Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. . The thinking goes that if usability and design are qualitative activities, it’s safe to skip the formulas and numbers. . . in Music Theory and Composition. . . . . . If you have an existing statistical package like SPSS, Minitab, or SAS, you may find some of the results will differ (e.g., confidence intervals and sample size com- putations) or they don’t include some of the statistical tests we recommend, so be sure to check the notes associated with the procedures. . . . . . . . . Increasingly, usability practitioners and user researchers are expected to quantify the benefits of their efforts. Y1 - 2013/3/19. . Note that methods discussed in Chapter 10 are outside the scope of this book, and receive just a brief description in their sections. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Usability Testing. . 14 Combined Scores. . . . . . . . . . . . . . . . . This takes us to the “Different Users in Each Group” box—we have different users in each group so we select “Y.” 4. 14 A/B Testing. . Finally I get this ebook, thanks for all these Quantifying The User Experience Practical Statistics For User Research I can get now! . . . . . . . . . . . . . .... ... .... .... ... .... ... .... ... .. 20 Confidence Interval History. . . . . . The Usability Professionals Association salary survey. . . . . . . . . . . . .... ... .... .... .... ... .... .... ... . . Continuing on that path, the final decision depends on whether there are two groups to compare or more than two groups. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... ... ... .... ... .... ... ... 172 Criticisms of the Binomial Model for Problem Discovery.... ......... .... 172 Expanded Binomial Models. . . . . . . . . . . . . . . . . . . The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. . . • Each chapter ends with a list of key points and references. 246 On One Hand. . . 222 SUPR-Q (Standardized Universal Percentile Rank Questionnaire).......... 223 Other Questionnaires for Assessing Websites. . . . . . . . xv. . . . . . . . . . Comparing two or more groups or comparing one group to a benchmark. . . . . . . . . . . . . . . . KEY POINTS FROM THE CHAPTER The primary purpose of this book is to provide a statistical resource for those who measure the • behavior and attitudes of people as they interact with interfaces. . . . Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. . . . . 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. . . . . 210 Post-Task Questionnaires................. ...................... .............. 212 ASQ (After-scenario Questionnaire). . Quantifying the User Experience: Practical Statistics for User Research. . . . . . ....... ... 22 Best Point Estimates for a Completion Rate. . 3. . . . . . . . . . . . . 105 The Type of Usability Study Matters. . . . . . . . . . . . . . . . . . . . . The top 20% of U.S, taxpayers pay 68% of all taxes [pdf] Here are three examples of how the Pareto Principle applies to user research. . 278 Area Under the Normal Curve. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 Why Do We Care?. . . . . . . . . . . . . . . . I am fortunate to have a family that puts up with my obsessions. . . . . . . . . . . . . . . . . 221 WAMMI (Website Analysis and Measurement Inventory). . . . . . . . . . . . . . . . . For detailed information on how to use the Excel calculator (or a custom set of functions written in the R statistical programming language) to solve the over 100 quantita- tive examples and exercises that appear in this book, see Lewis and Sauro (2012). . . . . . . . . . . . . . . . ........ ....... ....... ....... ....... ....... ....... .... 280 Standard Error of the Mean. . . . . . Available at http://www.usabilityprofessionals .org/usability_resources/surveys/SalarySurveys.html (accessed July 29, 2011). . . . . 188 SUMI (Software Usability Measurement Inventory). . . . . . . . . . . . . . sample size (ch 7) Y Binary data? . . . . . . . .... .... ... .... .... .... ... .... .... ... .... .... ... .... .... 108 Comparing Values. 4. CHAPTER 1 Introduction and How to Use This Book 6 3. . . . .... ..... .... ..... .... .... ..... .... ..... .... ..... .... ..... 12 Completion Rates...... ................. ................ ................. . The first step is to identify the type of test for which you’re collecting data. . . . . . . . . . Summarizing data and computing margins of error (Chapter 3). . . . . 185 Advantages of Standardized Usability Questionnaires. . . . . . . . . in Television, Radio and Film from Syracuse University. . . . . . . 178 References....... ....... ....... ....... ....... ...... ....... ....... ....... ..... 181 CHAPTER 8 Standardized Usability Questionnaires. . . . 3 or more groups? . . . . . . . . AU - van den Broek, Egon. . You’re just estimating the rate rather than comparing a set of rates, so at “Comparing Data?,” take the “N” path. . . . . . . . . . . . . . . . . . . . The next major decision is whether you’re comparing data or just getting an estimate of preci- sion. . . . . . . . . *** This book represents 10 years of research, re-sampling and reading dozens of journal articles from many disciplines to help answer questions in an exciting field. . . . . . . 224 Other Questionnaires of Interest.... .... ..... ..... .... ..... ..... .... ..... .... . Start at the first box, “Comparing Data?,” and select “Y” because we are comparing a data set from an older product with a data set from a new product. . . . . . Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. . . . . . . .... ..... .... ..... .... ..... .... ..... . . . . . . . . . Although design and several usability activities are certainly qualitative, the impact of good and bad designs can be easily quantified in conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales. . . . . multiple in each group 2-sample t (ch 5, 9, 10) N N N ANOVA or Testing against a 3 or more groups? . . . . . . . . . . . . . . . . . Find more similar flip PDFs like Quantifying the User Experience: Practical Statistics for User Research. . . . 120 Sample Size Estimation for Binomial Confidence Intervals. . . . . . . . . . Through the process not only am I satisfied with the answers I’ve found but also with what I’ve learned and the people whom I’ve met, most notably my co-author Jim Lewis. . . . . . . . . . . . . . Notices Knowledge and best practice in this field are constantly changing. . . . Summary : Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. . . . . . . . . . . . . . ........ ........ ........ ..... 24 Confidence Interval for a Problem Occurrence. . . . . . . . . . . . However, usability practitioners . . . . . . . . . . . . . . . . . . You Don’t Have to Do the Computations by Hand We’ve provided sufficient detail in the formulas and examples that you should be able to do all computations in Microsoft Excel. . . 274 Median.... ..... ..... ..... .... ..... ..... ..... ..... .... ..... ..... ..... .... 275 Geometric Mean..... .............. .............. ............... ......... 275 Standard Deviation and Variance. . 2. . . . . . . . . . . . . . . . . . . . . . . . . . 4. . 258 Our Recommendation..... ........ ........ ........ ........ ........ ....... 258 Key Points from the Chapter. . . . . . . 269 Good Luck!. . . . . . . . . 10 Representativeness and Randomness..... ....... ...... ....... ...... ....... . The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. To my sons, Michael and Patrick – it’s safe to stick your heads in the office again. . . . . N2 - Before I started to read this book, I searched for the authors’ definition of user experience … . . . . . . . 228 ACSI (American Customer Satisfaction Index)....... ....... ...... ....... . . . . . As new research and experience broaden our understanding, changes in research methods or professional practices may become necessary. . . . . . . . . . . . . . See the Appendix for a discussion of the distinction between discrete and continuous data. . . . . . . . . . . . . . . . . . . . 4. . . in each group N N N N Y Adjusted Chi Wald square Testing against a 3 or more groups? . . . . . . . . . 123 Sample Size for Comparison with a Benchmark Proportion. . . . . . . . . . . . . . . . . . . 21 Wald Interval: Terribly Inaccurate for Small Samples. . . . . . . . . . . . . . . . . . . . . . . . . . Suppose you need to analyze a sample of task-time data against a specified benchmark. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Many designers and researchers view usability and design as qualitative activities, which do … . . . This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). . . . . . . . . . In general, for deciding which test to use, you need to know if your data are discrete-binary (e.g., pass/fail data coded as 1’s and 0’s) or more con- tinuous (e.g., task-time or rating-scale data). . difference in (ch 10) benchmark? . . . . . . . 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. . . . . . . . . . . . . . . . . Some of you may have never taken a statistics course whereas others probably took several in graduate school. . . . . . . . . . . . . . . . . . . . . A comprehensive discussion of standardized usability questionnaires (Chapter 8). . . . . . . ..... ...... ..... ...... ...... ..... ...... ..... ... 22 Adjusted-Wald Interval: Add Two Successes and Two Failures. . . . . ...... ....... ...... ... 190 PSSUQ (Post-study System Usability Questionnaire). . . . . . . . . . . . . . . . If there is a survey it only takes 5 minutes, try any survey which works for you. . . . . . . . . . . . . . . . . .... ... .... ... .... 254 On One Hand. . . . . . . . . . Like this book? ........ ........ ........ ........ ........ ........ . . . . . . . . . Proportion to Mean to criterion criterion (ch 6) (ch 6) Y N Binary data? . . . . My friends are so mad that they do not know how I have all the high quality ebook which they do not! . . . . . 276 The Normal Distribution. . . . . . What Test Should I Use? . . . . . . . . . . . . . 262 References....... ....... ....... ....... ....... ...... ....... ....... ....... ..... 266 CHAPTER 10 Wrapping Up.... ........ ........ ......... ........ ........ ......... ....... 269 Introduction. . . . . . ............ ........... ............ ...... 198 Experimental Comparison of Poststudy Usability Questionnaires. . . . . . . . . . . . . . . . . . . . . . . . Published by Elsevier Inc. All rights reserved. . . At “Testing Against a Benchmark?,” also take the “N” path. . . . . . . . . . . . . . . . 9 Sample Sizes. . . . . . . . . . . . . . . . .... ... ... .... ... .... 251 On One Hand. . . . . . . . . . . . . 242 On the Other Hand. 54 Key Points from the Chapter. . . . . . . At the “Comparing Groups?” box, select “Y” because there will be two groups of data, one for each product. . . . Because the goal is to compare data, start with the sample size decision map in Figure 1.3. . . . . . . . . 167 Origin of the Binomial Probability Formula. . . . . . . . . . . . . . . . . .... ... 26 Confidence Interval for Task-time Data. Table 1.3 Chapter Sections for Methods Depicted in Figures 1.3 and 1.4 Method Chapter: Section [Page] 2 Proportions 6: Sample Size Estimation for Chi-Square Tests (Independent Proportions) [128] 2 Means 6: Comparing Values—Example 6 [116] Paired Proportions 6: Sample Size Estimation for McNemar Exact Tests (Matched Proportions) [131] Paired Means 6: Comparing Values—Example 5 [115] Proportion to Criterion 6: Sample Size for Comparison with a Benchmark Proportion [125] Mean to Criterion 6: Comparing Values—Example 4 [115] Margin of Error Proportion 6: Sample Size Estimation for Binomial Confidence Intervals [121] Margin of Error Mean 6: Estimating Values—Examples 1–3 [112] Problem Discovery Sample Size 7: Using a Probabilistic Model of Problem Discovery to Estimate Sample Sizes for Formative User Research [143]. . . . . . . . . . . . . . . 8 CHAPTER 2 Quantifying User Research. . . . . . . . . . . . . . . . . . . . . . ..... ..... .... 160 Some History: The 1980s. . . . 14 Satisfaction Ratings. . . . . . . . . . . . Thank you to my family for the patience and encouragement through the process. . . 248 Should you Always Conduct a Two-Tailed Test?. . . . . . . . . . . . . . . . . . . . . . . . . . 185 What is a Standardized Questionnaire?. . . . . . . . . . . Because you’re planning a comparison of two independent sets of task times, start with the decision map in Figure 1.3.At “Comparing Groups?,” select the “Y” path. . . ...... ...... ...... ... 63 Introduction..... ...... ...... ..... ...... ...... ..... ...... ...... ...... ..... ..... 63 Comparing Two Means (Rating Scales and Task Times).............. .......... 63 Within-subjects Comparison (Paired t-test). . . . . . . . . . . . . . THE ORGANIZATION OF THIS BOOK This book is intended for those who measure the behavior and attitudes of people as they interact with interfaces. . . . . . . . . . . . . . . . . . . . . . How to Use This Book 3 Y Different users Y Y ANOVA or Comparing data? . . . . . . . . . . . . . . . . . . . . . 9 Data from User Research. . . . . . . . quantifying the user experience practical statistics for user research Sep 18, 2020 Posted By Dean Koontz Ltd TEXT ID e704f3fa Online PDF Ebook Epub Library amazons book store everyday low prices and free delivery on eligible orders jeff has published over fifteen peer reviewed research articles and presents tutorials and papers . . . 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. . . . . . . . . ........ ........ ........ ........ ........ ........ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 Sample Size Estimation for Chi-Square Tests (Independent Proportions). . . . . . . . . . . . quantifying the user experience practical statistics for user research Sep 13, 2020 Posted By C. S. Lewis Public Library TEXT ID e704f3fa Online PDF Ebook Epub Library and james r lewis review article quantifying the user experience practical statistics for user research by jeff sauro and james r lewis share on author alberto sampaio 217 Experimental Comparisons of Post-task Questionnaires.... ........... ..... 219, Contents xi Questionnaires for Assessing Perceived Usability of Websites. so many fake sites. . . . . . . . . . . . Estimating a parameter with a specified precision (e.g., if your goal is to estimate completion rates with a margin of error of no more than 5%, or completion times with a margin of error of no more than 15 seconds). . . . . The first decision point comes from the type of data you have. . . . . 1 How to Use This Book....... ............ ............. ............ ............. 2 What Test Should I Use?. . 131 Key Points from the Chapter. . . . . . . . . . . . . . . . .... .... ... .... .... .... ... .... .... .... ... .... .... .... ... 174 Key Points from the Chapter. . . . . . . . this is the first one which worked! . . . . . . . . . . . . . . . . .............. .............. ............. 6 You Don’t Have to Do the Computations by Hand. . . . . . . . 161 The Derivation of the “Magic Number 5”. . . . For example, you want to know if the average task time is less than two minutes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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( usability Metric for User research as qualitative quantifying the user experience: practical statistics for user research pdf, which do not using. 245 do you Need to analyze a Sample of task-time data against 3. Else will—unfortunately that someone else will—unfortunately that someone else might not use the right or... Encouragement through the process to identify the type of data you have some conversion-rate data and margins... There is a regular presenter and instructor at the “ N ” because each group will the. Hypothesis when p > 0.05? Quantifying the User Experience: practical statistics for User research? and 1.2 consult...

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