quantifying the user experience: practical statistics for user research pdf

282 Margin of Error. . . . ........ ........ ........ ..... 24 Confidence Interval for a Problem Occurrence. . 256, Contents xii On the Other Hand. . . so many fake sites. . . . 225 CSUQ (Computer System Usability Questionnaire). . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . ..... ...... ..... ...... ...... ..... ...... ..... ... 22 Adjusted-Wald Interval: Add Two Successes and Two Failures. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . As an aid to the persistent problem of remembering what method to use under what • circumstances, this chapter contains four decision maps to guide researchers to the appropriate method and its chapter in this book. . . . . . . ........ ........ ........ ........ ........ ........ . . . . . . . . . 229 CxPi (Forrester Customer Experience Index)........................... ... 230 TAM (Technology Acceptance Model)...... .......... .......... ......... 231 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. . . . . . . . . . . . . . . . . . For example, you want to know if the average task time is less than two minutes. . . . . .... .... ... .... .... ... .... ... ... 187 Number of Scale Steps. . . . . . . . . . . . . Instead, this book is about working backwards from the most common questions and problems you’ll encounter as you conduct, analyze, and report on user research projects. . . . . . . To help with this problem, we’ve provided decision maps (see Figures 1.1 to 1.4)to help you get to the right statistical test and the sections of the book that discuss it. . . . . . 19 Introduction..... ...... ...... ..... ...... ...... ..... ...... ...... ...... ..... ..... 19 Confidence Interval = Twice the Margin of Error. . . . . . . . . . . . . . . . . . If you’re comparing data, the next decision is whether the groups of data come from the same or different users. . . . . . . . . . . . . . . Check Pages 1 - 25 of Quantifying the User Experience: Practical Statistics for User Research in the flip PDF version. . . . . We will be glad if you will be back again and again. . . . . 258 Our Recommendation..... ........ ........ ........ ........ ........ ....... 258 Key Points from the Chapter. . . . . . . . . . . . . . . . . . . . Most websites support hundreds and … . 143 Using a Probabilistic Model of Problem Discovery to Estimate Sample Sizes for Formative User Research. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... ... .... ... .... 254 On One Hand. . . . . . . . . . . . . . . . . . . . . . . . . . Paired t (ch 5) N N Y 1-sample t (log) (ch 4) 1-sample t Sample > 25 t confidence (ch 4) interval (ch 3) Y N Confidence t (Log) interval confidence around interval median (ch 3) (ch 3) FIGURE 1.1 Decision map for analysis of continuous data (e.g., task times or rating scales). . . . . . . . . . . . . . . . . . . . . . . . . . . . 221 WAMMI (Website Analysis and Measurement Inventory). . . . . . . . . . . . . How to Use This Book 3 Y Different users Y Y ANOVA or Comparing data? . . . . . . . . . . . . . . . . . . . Most chapters also include a set of problems and answers to those problems so you can check your understanding of the content. . . . . . . . . . . . . . . . . . . . . . . . . . in Music Theory and Composition. . . . . . . . . . . . . . . . . . Our focus is on methods applicable to practical user research, based on our experience, • investigations, and reviews of the latest statistical literature. 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. . . . . Summary : Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. . . . . . . . . . . . . . . . . . . . . 45 Small-Sample Test..... .......... ......... .......... ......... .......... ... 45 Large-Sample Test..... .......... ......... .......... ......... .......... ... 49 Comparing a Satisfaction Score to a Benchmark.... .... ... .... ... .... .... ... ... 50 Do at Least 75% Agree? . . . . . . . . . . . . . . . . . The first step is to identify the type of test for which you’re collecting data. . . . . . . . . . Problem Estimating a N discovery parameter? . . . . . 93 References..... ....... ...... ....... ....... ....... ....... ....... ....... ....... 102 CHAPTER 6 What Sample Sizes Do We Need? . . Jeff Writing a book takes a big chunk out of your life. . 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Quantifying The User Experience Practical Statistics For User Research . . . . . . . . . . 248 On the Other Hand. . At the “Different Users in Each Group?” box, select “N” because each group will have the same users. . . . . . . . . . . . . . . . . . . . . . . . . . He cur- rently serves on the editorial boards of the International Journal of Human-Computer Interaction and 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). . . . . . . . 3. Thank you to my family for the patience and encouragement through the process. . . . . . . . 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. I am fortunate to have a family that puts up with my obsessions. . . Although there are many “rules of thumb” on how many users you should test or how many customer responses you need to achieve your goals, there really are precise ways of finding the answer. 3. . . . . . . . . . . . . . . . . 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. 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. . . . . 14 A/B Testing. . . . . . . . . . . . . . . . . . He is a regular presenter and instructor at the Computer Human Inter- action (CHI) and Usability Professionals Associations (UPA) conferences. . . . . . . . Because the goal is to compare data, start with the sample size decision map in Figure 1.3. . You can publish your book online for free in a few minutes. . . . . . . Binary data? . 10 Representativeness and Randomness..... ....... ...... ....... ...... ....... . Sep 30, 2020 quantifying the user experience practical statistics for user research Posted By Jir? . . . . . . .... ... .... ... ... .... ... ... 157 Reconciling the “Magic Number 5” with “Eight is not Enough”. Some people want to see how the statistics work, and for them we provide the math. . . Summarizing data and computing margins of error (Chapter 3). . .... .... .... .... .... .... .... .... .... .... .... ... 278 Applying the Normal Curve to User Research Data. To find the appropriate section in each chapter for the methods depicted in Figures 1.3 and 1.4, consult Table 1.3. *** 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. . 225 USE (Usefulness, Satisfaction, and Ease of Use). . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . . . Find more similar flip PDFs like Quantifying the User Experience: Practical Statistics for User Research. . . . 241 Introduction. . . . No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the Publisher. . . . . . . . . . . . . . . . .... ... ... ... ... . . . . . CHAPTER 1 Introduction and How to Use This Book 8 Answers 1. . . . . . quantifying the user experience practical statistics for user research Sep 23, 2020 Posted By Arthur Hailey Media Publishing TEXT ID e704f3fa Online PDF Ebook Epub Library view usability and design as qualitative activities which do not require attention to formulas and numbers qmp1xlxp6bwi book quantifying the user experience practical . . . . . . . . . . . . . . . What Test Should I Use? . . . . . . . . . . . 15 Rating Scales...... ...... ...... ...... ....... ...... ...... ...... ...... ...... 15 Net Promoter Scores. 248 Should you Always Conduct a Two-Tailed Test?. . . . 274 Median.... ..... ..... ..... .... ..... ..... ..... ..... .... ..... ..... ..... .... 275 Geometric Mean..... .............. .............. ............... ......... 275 Standard Deviation and Variance. . . . . . . . . . . . What Users Do: Top Task Analysis. . . . . . . . . . . . . . . . . 284 How much do Sample Means Fluctuate?. . . . . . . . [256] 10: Getting More Information [269] Table 1.2 Chapter Sections for Methods Depicted in Figure 1.2 Method Chapter: Section [Page] One-Sample z-Test 4: Comparing a Completion Rate to a Benchmark (Large Sample Test) [49] One-Sample Binomial 4: Comparing a Completion Rate to a Benchmark (Small Sample Test) [45] Adjusted Wald Confidence Interval 3: Adjusted-Wald Interval: Add Two Successes and Two Failures [22] McNemar Exact Test 5: McNemar Exact Test [84] Adjusted Wald Confidence Interval for 5: Confidence Interval around the Difference for Matched Difference in Matched Proportions Pairs [89] N − 1 Two-Proportion Test and Fisher 5: N − 1 Two-Proportion Test [79]; Fisher Exact Test [78] Exact Test Adjusted Wald Difference in Proportion 5: Confidence for the Difference between Proportions [81] Chi-Square 10: Getting More Information [269] For example, let’s say you want to know which statistical test to use if you are comparing com- pletion rates on an older version of a product and a new version where a different set of people par- ticipated in each test. . . . . . . . . . . . . . . 228 ACSI (American Customer Satisfaction Index)....... ....... ...... ....... . . . . 54 Key Points from the Chapter. . . . . The next major decision is whether you’re comparing data or just getting an estimate of preci- sion. 14 Errors. Many designers and user researchers view usability and user research as qualitative activities, which do not use formulas and numbers. . . . . . . . . . . Excel and R Companion to “Quantifying the User Experience: Practical Statistics for User Research”: Rapid Answers to over 100 Examples and Exercises. . . . . 1. . . . . . . . . . . . . . . . . . . . . 9 Data from User Research. . . . . We deeply appreciate their time and helpful comments. . . . . . . . . Better to search instead for a particular book title, author, or synopsis. . . . . . . For fifteen years he’s been conducting usability and statistical analysis for companies such as PayPal, Walmart, Autodesk and Kelley Blue Book or working for companies such as Oracle, Intuit and General Electric. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Key Points from the Chapter. . . . . .... .... .... .... .... .... .... .... .... .... .... ..... .... .... .... . . . . . . . . . . . If there is a survey it only takes 5 minutes, try any survey which works for you. 105 Basic Principles of Summative Sample Size Estimation.... ..... ..... ..... 106 Estimating Values. . . . . . . . . The thinking goes that if usability and design are qualitative activities, it’s safe to skip the formulas and numbers. . . . 246 On the Other Hand. . . . Quantifying the User Experience Practical Statistics for User Research Jeff Sauro James R. Lewis AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Morgan Kaufmann is an imprint of Elsevier, Acquiring Editor: Steve Elliot Development Editor: Dave Bevans Project Manager: Jessica Vaughan Designer: Joanne Blank Morgan Kaufmann is an imprint of Elsevier 225 Wyman Street, Waltham, MA 02451, USA © 2012 Jeff Sauro and James R. Lewis. . . . . . . . . . . . .... .... ..... .... ..... .. 68 Assumptions of the t-tests.... ....... ....... ....... ....... ....... ...... .... 73, Contents ix Comparing Completion Rates, Conversion Rates, and A/B Testing...... ........ .. 74 Between-subjects. . . . . . . ...... ....... ...... ... 190 PSSUQ (Post-study System Usability Questionnaire). . . . . . . 5. . He is a member of the Usability Professionals Association (UPA), the Human Factors and Ergonomics Society (HFES), the Association for Psychological Science (APS) and the American Psychological Associa- tion (APA), and is a 5th degree black belt and certified instructor with the American Taekwondo Association (ATA). . . . . . What Sample Size Do I Need? . . . . . . . . 164 More About the Binomial Probability Formula and its Small Sample Adjustment. . . . . . . . . . . . . . . . . . It is available for purchase online at www.measuringusability.com/ products/expandedStats. . . . . . . . . . . . . . . . . quantifying the user experience practical statistics for user research Oct 02, 2020 Posted By Jeffrey Archer Public Library TEXT ID e704f3fa Online PDF Ebook Epub Library statistics for user research 2 by sauro jeff lewis james r isbn 9780128023082 from amazons book store everyday low prices and free delivery on eligible orders quantifying . 245 Do you Need to Test at Least 30 Users?. . . . 105 Why Do We Care?. . . . . . . Jim is an IBM Master Inventor with 77 patents issued to date by the US Patent Office. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... .... .... ... .... .... .... .... 15 Survey Data. . . . . . . 2. 26 Confidence Interval for Rating Scales and Other Continuous Data. . . . . . . . . . Our library is the biggest of these that have literally hundreds of thousands of different products represented. . . . . . . . . . . See the Appendix for a discussion of the distinction between discrete and continuous data. . . . . Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. . . . . 3. . UPA. . . . . . . . . . . ........ ....... ........ ........ ..... 41 Introduction..... ...... ...... ..... ...... ...... ..... ...... ...... ...... ..... ..... 41 One-Tailed and Two-Tailed Tests.... ......... ......... ......... ......... ...... 44 Comparing a Completion Rate to a Benchmark. . . . . . 4. . . . . . . In order to read or download Disegnare Con La Parte Destra Del Cervello Book Mediafile Free File Sharing ebook, you need to create a FREE account. . . Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. . . . . . . . . . . . . . . . . . . . . . . 161 The Derivation of the “Magic Number 5”. . ........ ........ ........ ........ ........ ........ . . . Quantifying the User Experience: Practical Statistics for User Research. . . . . The Usability Professionals Association salary survey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251 Our Recommendation. . . In general, there are three ways of determining your sample size: 1. 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. . . . . 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. . . . . . xv CHAPTER 1 Introduction and How to Use This Book. . . . . . . . . . . . . . . . . . . . . . . . . . 120 Sample Size Estimation for Binomial Confidence Intervals. . . . 2. . . . . . . . . . . . . At “Testing Against a Benchmark?,” also take the “N” path. . . . . . . . . . . . . . . . 273 Populations and Samples. . . . . . . . . . . . . . . . . . 29 Mean or Median Task Time?. . . . . . . . . . . . ...... ...... ..... .... 21 Exact Confidence Interval. . . . The course offers a practical introduction and guide for using statistics to solve quantitative problems in user research. . . . . . . . ..... ..... .... 160 Some History: The 1980s. . . . . . . . . . . . . Problem discovery, specifically the number of users you need in a usability test to find a specified percentage of usability problems with a specified probability of occurrence. . 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). . . . . . . . . . . . . . . . . . . . . . . . . . . In general, these activities fall into three areas: 1. . . . . Note that methods discussed in Chapter 10 are outside the scope of this book, and receive just a brief description in their sections. . . . . . . . . . 149 Adjusting Small Sample Composite Estimates of p. .... .... ... .... .... .... 149 Estimating the Number of Problems Available for Discovery and the Number of Undiscovered Problems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Requirements Gathering. . . . . Suppose you have some conversion-rate data and you just want to understand how precise the estimate is. . ........ ........ ........ ........ ........ ........ . . . . . . . 105 Introduction. . . . . . . . . . . . . . . . . 3. . . . . . . . . . . . . . . . Continuing on that path, the final decision depends on whether there are two groups to compare or more than two groups. . . . . . . . . . . 224 Other Questionnaires of Interest.... .... ..... ..... .... ..... ..... .... ..... .... . . . . . . . . . .... .... ..... .... .... ... 19 Confidence Intervals Provide Precision and Location....................... 19 Three Components of a Confidence Interval. . . in Engineering Psychology, and an M.M. . . XD. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... ... .... .... ... .... .... .... ... .... .... ... .... .... 16 Key Points from the Chapter. . . . . Which sample size estimation method should you use? . . . . . . . . . 4. . . . . . . . . . . 125 Sample Size Estimation for Chi-Square Tests (Independent Proportions). . . . . . . . . . . . . . . . . . . . . Jeff received his Masters in Learning, Design and Technology from Stanford University with a concentration in statistical concepts. . . . . . . . . . . . . . . . . . . . . Library of Congress Cataloging-in-Publication Data Application submitted British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. . 215 UME (Usability Magnitude Estimation). . . . . . . . . . What procedure should you use? . . . . . . . . . . . . . . . . . . 276 The Normal Distribution. . . . . . . . . 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). . . . . . . . . . . . . . . 1 How to Use This Book....... ............ ............. ............ ............. 2 What Test Should I Use?. . . . . . . . . . . . Based on teaching many courses at industry conferences and at companies, we know the statis- tics background of the readers of this book will vary substantially. . . . . . . . . Published by Elsevier Inc. All rights reserved. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . He is a Certified Human Factors Professional with a Ph.D. in Experimental Psychology (Psycholinguistics), an M.A. . . T1 - Review: Quantifying the user experience by J. Sauro and J. Lewis. . . . ..... ..... .... ..... ... 33 Confidence Interval Around a Median. . . . . . . . . . . . . . . . . . . . . . Proportion to Mean to criterion criterion (ch 6) (ch 6) Y N Binary data? . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . Prior to Stanford, he received his B.S. . . . . . . . . . . . . . . . . . . . . . 16 Comments and Open-ended Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . in each group N N N N Y Adjusted Chi Wald square Testing against a 3 or more groups? . . . . . . . . . 121 Binomial Sample Size Estimation for Small Samples.... ......... ........ . . . . . . . . . . . . 274 Mean. . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . . . . . . 123 Sample Size for Comparison with a Benchmark Proportion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . We stop at the “N − 1 Two-Proportion Test and Fisher Exact Test” (Chapter 5). . . . . . . . . . . . . . . . . .... .... ... .... .... .... ... .... .... .... ... .... .... .... ... 174 Key Points from the Chapter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . For example, in examining the server log data you see 10,000 page views and 55 clicks on a registration button. . . . . . . . . . . . . . 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. . . . . . . . . . . . . . . . . . Binary data? . . . . . . . . 232 References..... ....... ...... ....... ....... ....... ....... ....... ....... ....... 236 CHAPTER 9 Six Enduring Controversies in Measurement and Statistics. . . . . . . . . . . . . . . . 242 On the Other Hand. . . . . . . . . . . . . . . . . . . 9 Usability Testing. . . . 227 UMUX (Usability Metric for User Experience).......... ................. 227 HQ (Hedonic Quality). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Because you’re testing against a benchmark rather than comparing groups of data, follow the “N” path from “Comparing Data?” At “Testing Against a Benchmark?,” select the “Y” path. . . . . . . Like this book? . Some of you may have never taken a statistics course whereas others probably took several in graduate school. . . . . . . . . . . . Y Different users Y Y Comparing data? . . . . . . . . . . . . . . . . 278 Area Under the Normal Curve. . . . . . . . . Suppose you need to analyze a sample of task-time data against a specified benchmark. . . . . . . . . . . . . . . . . . . 114 What can I Do to Control Variability?. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Available at http://www.usabilityprofessionals .org/usability_resources/surveys/SalarySurveys.html (accessed July 29, 2011). . . . . . . . . . . sample size (ch 7) Y Binary data? . Y multiple benchmark? . . . . . . . . . . . . To my sons, Michael and Patrick – it’s safe to stick your heads in the office again. . Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. . . . . . . . . . . . . . . . . . . . . . . . . . . 229 NPS (Net Promoter Score). . . . . We have made it easy for you to find a PDF Ebooks without any digging. . . . . 285 The Logic of Hypothesis Testing. . . . . . . . . . . . . . . . . ... ... ... ... .. ... ... ... ... ... .. 162 Eight Is Not Enough: A Reconciliation. . . . . . . . . . . . . . . . . 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). . . . 128 Sample Size Estimation for McNemar Exact Tests (Matched Proportions). . . . . . 185 Introduction. . . . . . Because completion rates are discrete-binary data (1 = pass and 0 = fail), we should use the decision map in Figure 1.2. . . . . . . 283 Significance Testing and p-Values. . . . . . . . . . . . Another part is due to our selecting the best procedures for practical user research, focusing on procedures that work well for the types of data and sample sizes you’ll likely encounter. . . . CHAPTER REVIEW QUESTIONS 1. . . . . . . . . . References Lewis, J.R., Sauro, J., 2012. . . . . . . . . . . 36 References. . . . . . . . . . . . . . 255 Our Recommendation. . . . Determining if there is a statistically significant difference, either in comparison to a benchmark (Chapter 4) or between groups (Chapter 5). . . . . . . . . . . . . in Information Manage- ment & Technology and B.S. . . . . . . . . . . 287 Errors in Statistics. . . 247 Our Recommendation. . . . . 241 Is it Okay to Average Data from Multipoint Scales?. . Jeff has published over fifteen peer-reviewed research articles and is on the editorial board of the Journal of Usability Studies. . . . . . . . . . . See Example 6 on p. 116. . . . . . . . . . . . . . . 14 Combined Scores. . . . . . . . . . . . 250 Can you Reject the Null Hypothesis when p > 0.05?. . . . . . . . . . . . . . . . . . . . . . . . . . . . While we’d like to take all the pain out of learning and using statistics, there are still formu- las, math, and some abstract concepts that we just can’t avoid. . . . . . . . . . . . . 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). . . . . . . . . . Quantifying the User Experience: Practical Statistics for User Research was published by master.sasongko on 2016-02-20. . . . 262 References....... ....... ....... ....... ....... ...... ....... ....... ....... ..... 266 CHAPTER 10 Wrapping Up.... ........ ........ ......... ........ ........ ......... ....... 269 Introduction. . . Just select your click then download button, and complete an offer to start downloading the ebook. . . . . 187 Poststudy Questionnaires. . 12 Usability Problems. . . . . . . . . . . . . . . . . . . This takes you to “2 Means,” which, according to Table 1.3, is discussed in Chapter 6 in the “Comparing Values” section. . . . . . . . . . . . . . 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). . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 References....... ....... ....... ....... ....... ...... ....... ....... ....... ..... 181 CHAPTER 8 Standardized Usability Questionnaires. . . . . . . . . . . . . . . . . . . . . . . . xv. . . . . . . . . . . . Large sample? . . . . . . . . 3 or more groups? . . . . . 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]. . . 15 Clicks, Page Views, and Conversion Rates. . 251 On the Other Hand. . . . . . . . . . . . . . . Buy Quantifying the User Experience: Practical Statistics for User Research by Sauro, Jeff (ISBN: 9780123849687) from Amazon's Book Store. . . . . . . . . . . Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. Jim xiii, About the Authors Jeff Sauro is a six-sigma trained statistical analyst and founding principal of Measuring Usability LLC. . . . . . . . . . 148 Additional Applications of the Model......................... ................ 149 Estimating the Composite Value of p for Multiple Problems or Other Events. . . . . . . . . . ...... ....... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . We stop at the “Paired Means” procedure (Chapter 6). . Increasingly, usability practitioners and user researchers are expected to quantify the benefits of their efforts. . . . . . . . . . . . . . . . . . . . . . . . . . Part of this is from recent advances in statistics (especially for dealing with binary data). . . . . . . . . . . . . . 63 Comparing Task Times. . 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. . . . . . Quantifying the User Experience: Practical Statistics for User Research offers a practical guide for using statistics to solve quantitative problems in user research. . . . . . 84 Key Points from the Chapter. Readers who are familiar with many statistical procedures and formulas may find that some of the formulas we use differ from what you learned in your college statistics courses. . . . . . . . . . . . I get my most wanted eBook. . . 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 . 291, Acknowledgments Many thanks to Elisa Miller, Lynda Finn, Michael Rawlins, Barbara Millet, Peter Kennedy, John Romadka and Arun Martin for their thoughtful reviews of various draft chapters of this book. . . . . . . . . . . Y Y N Different users in each group? . . . . . . . . . . difference in (ch 10) benchmark? . . . . . I thank my wife, Cathy, for her patience and loving support. . . . . . . As new research and experience broaden our understanding, changes in research methods or professional practices may become necessary. . in Television, Radio and Film from Syracuse University. . . . . • Each chapter ends with a list of key points and references. . . . . . . . . . . . . . . . . . Comparing two or more groups or comparing one group to a benchmark. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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). . . . . . . . . . . . . If you want to load Quantifying the User Experience: Practical Statistics for User Research by Jeff Sauro, James R Lewis pdf, then you have come on to the loyal website. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Which sample size estimation method should you use? . . . . . . . . . . . . . . . . . . . . 250 Our Recommendation. . . . . . . . . . . . . . . this is the first one which worked! . . . . . . eBook includes PDF, ePub and Kindle version. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. . . . . . . . . . . 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. .... ... ... .... ... .... ... ... 172 Criticisms of the Binomial Model for Problem Discovery.... ......... .... 172 Expanded Binomial Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... ..... .... ..... .... ..... .... ..... . . . . . . . . . . . . . . . . . . . As much as possi- ble, we’ve incorporated relevant discussions around the concepts as they appear in each chapter with plenty of examples using actual data from real user research studies. . . . . . . . . . . . . . . . . . . . . . . . Task time? . 17 References....... ............... ............... ................ ............... 17 vii, Contents viii CHAPTER 3 How Precise Are Our Estimates? . . . . 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. . . . . . . . . . quantifying the user experience practical statistics for user research Sep 08, 2020 Posted By Sidney Sheldon Library TEXT ID 6709b78b Online PDF Ebook Epub Library everyday low prices and free delivery on eligible orders quantifying the user experience practical statistics for user research will find the money for you more than people . . . . . . . . . . . . . . . . . . . . . . . . . 254 On the Other Hand. . . . . . . . . . . . . . . . . . . . . . . . The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Part 1: Summative Studies. . . .... ... ... .... ... .... 251 On One Hand. . . . . . . . . ........ ........ ....... ........ ..... 213 SEQ (Single Ease Question). . To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors assume any liability for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any methods, products, instructions, or ideas contained in the material herein. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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. ..... ..... ...... ..... ..... ..... ..... ..... ... 173 Capture–recapture Models. . . Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. . . . . . . . . . . . . 188 QUIS (Questionnaire for User Interaction Satisfaction). . . . .... ... ... ... .... ... ... ... ... .... ... ... ... . 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 . . . . . . • A discussion of enduring statistical controversies of which user researchers should be aware and • able to articulate in defense of their analyses (Chapter 9). . . . . . . . . . ..... ..... ...... ..... ..... 242 On One Hand. . . 167 Origin of the Binomial Probability Formula. . . . . . . . . . . . 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! . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . This leads you to “Adjusted Wald Confidence Interval,” which, according to Table 1.2, is discussed in Chapter 3 in the “Adjusted-Wald Interval: Add Two Successes and Two Failures” section on p. 22. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .... .... .... ... .... .... ... .... .... ... .... .... .... . . . . . . . . . . . . . . . . . . . . . . . . . . . 222 SUPR-Q (Standardized Universal Percentile Rank Questionnaire).......... 223 Other Questionnaires for Assessing Websites. . . . 1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Published by Elsevier Inc. All rights reserved. . . At “Binary Data?,” select the “N” path. . . . . . paired t 2-sample t (ch 5) (ch 5, 9, 10) Y N N Task time? . Everyday low prices and free delivery on eligible orders. . . . . . . . . . . . . It includes both standard statistical output (p-values and confidence intervals) and some more user- friendly output that, for example, reminds you how to interpret that ubiquitous p-value and that you can paste right into reports. . . . . . . . . . lol it did not even take me 5 minutes at all! . . . . . . . . . . . . . . . 217 Experimental Comparisons of Post-task Questionnaires.... ........... ..... 219, Contents xi Questionnaires for Assessing Perceived Usability of Websites. . . . . . . . . . . . . . . . . . . . . . . . To get started finding Quantifying The User Experience Practical Statistics For User Research , you are right to find our website which has a comprehensive collection of manuals listed. . . . . . The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. . . . . . . . . . . . . 105 The Type of Usability Study Matters. . ........ ........ ....... ........ ........ ....... ........ ..... 283 t-Distribution. . . . . . . . . . . . . . . . . . ........ ........ ........ ........ ........ ........ . . . The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. . . . . . . .... ..... .... ..... .... .... ..... .... ..... .... ..... .... ..... 12 Completion Rates...... ................. ................ ................. . . At the “Comparing Groups?” box, select “Y” because there will be two groups of data, one for each product. . . . . . . . . . . . . . . 2. . . . . . . For this type of problem discovery evaluation, you’re not planning any type of comparison, so start with the decision map in Figure 1.4.You’re not planning to estimate any parameters, such as task times or problem occurrence rates, so at “Estimating a Parameter?,” take the “N” path. . . . . . You’re just estimating the rate rather than comparing a set of rates, so at “Comparing Data?,” take the “N” path. . . . 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. . . Chapter Review Questions 7 3. . . . . . . . . . . . . . Many thanks. . . . . . . . . . . . . . . . . . . . . . . . . 288 Key Points from the Appendix...... ...... ...... ...... ...... ...... ...... ..... 289 Index..... ....... ...... ....... ...... ....... ...... ....... ...... ....... ...... ...... ....... . . . . . . . . . . . . . To find the appropriate section in each chapter for the methods depicted in Figures 1.1 and 1.2, consult Tables 1.1 and 1.2. . . . . . . Confidence Intervals. . . . . .... .... .... .... ..... .... .... .... .... .... ..... .... .. 274 Sampling............................ .................................... 274 Measuring Central Tendency. . . . . . . . . . ..... ...... ..... ..... ..... ...... ..... ..... ..... ...... . . . 272 Key Points from the Chapter. . . . . . 269 Getting More Information. . 20 Confidence Interval for a Completion Rate. . . . . . 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. . . . . . . . 188 SUMI (Software Usability Measurement Inventory). . . . . . . . . . . . . . . . . 121 Binomial Sample Size Estimation for Large Samples.... ......... ........ . . . . . We have Quantifying the User Experience: Practical Statistics for User Research doc, txt, DjVu, ePub, PDF forms. . . . .............. .............. ............. 6 You Don’t Have to Do the Computations by Hand. . . . At “Different Users in Each Group?,” select the “Y” path. . . . . . 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. . . . . Many designers and researchers view usability and design as qualitative activities, which do … . . . . . . . . . . . . . What procedure should you use? .... .... .... .... ..... .... .... .... .... .... ..... ... 9 What is User Research?. . . . . . . . . . . . . . . . . . . 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 Hand- book of Human Factors and Ergonomics and presenting tutorials on usability testing and metrics at various professional conferences. . . . 75 Within-subjects. If you’renotterriblyinterestedinthecompu- tational mechanics, then you can skip over the formulas and focus more on how to apply the procedures. . . . . . . . . . . . . . . . . . . . . . . . . . 243 Our Recommendation. . ....... ... 186 Assessing the Quality of Standardized Questionnaires: Reliability, Validity, and Sensitivity. . . . . . . . . . . . . DOI: 10.1016/B978-0-12-384968-7.00001-1 1 © 2012 Jeff Sauro and James R. Lewis. . . . . . . . . . . . . . . . . . . 256 On One Hand. . . . . . . . . . . . . . . . ..... ..... ..... ..... ..... ..... ...... ..... ..... .... 66 Between-subjects Comparison (Two-sample t-test). How to Use This Book 5 Table 1.1 Chapter Sections for Methods Depicted in Figure 1.1 Method Chapter: Section [Page] One-Sample t (Log) 4: Comparing a Task Time to a Benchmark [54] One-Sample t 4: Comparing a Satisfaction Score to a Benchmark [50] Confidence Interval around Median 3: Confidence Interval around a Median [33] t (Log) Confidence Interval 3: Confidence Interval for Task-Time Data [29] t Confidence Interval 3: Confidence Interval for Rating Scales and Other Continuous Data [26] Paired t 5: Within-Subjects Comparison (Paired t-Test) [63] ANOVA or Multiple Paired t 5: Within-Subjects Comparison (Paired t-Test) [63] 9: What If You Need to Run More Than One Test? . . . 2. My friends are so mad that they do not know how I have all the high quality ebook which they do not! . . . . . . . 160 Some More History: The 1990s. . . . . . THE ORGANIZATION OF THIS BOOK This book is intended for those who measure the behavior and attitudes of people as they interact with interfaces. . . . . . . . . . . . . . . . . . Converting Continuous Ratings to Discrete....... 52 Comparing a Task Time to a Benchmark. . . . ....... ...... ...... ..... 280 Central Limit Theorem. . [256] 10: Getting More Information [269] Two-Sample t 5: Between-Subjects Comparison (Two-Sample t-Test) [68] ANOVA or Multiple Two-Sample t 5: Between-Subjects Comparison (Two-Sample t-Test) [68] 9: What If You Need to Run More Than One Test? The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. . . . . . .... ... .... .... .... ... .... .... ... . N1 - Book title: Quantifying the user experience: practical statistics for user research. . In order to read or download quantifying the user experience practical statistics for user research ebook, you need to create a FREE account. . . . . . . . . . . . . . . . . . 14 Satisfaction Ratings. . . . . . . . . ............ ............ ............ 155 What affects the Value of p?. . . . . . . . . .... ... 26 Confidence Interval for Task-time Data. . We’ve created an Excel calculator that performs all the computations covered in this book. . . 131 Key Points from the Chapter. . . ......... ......... ...... 169 Other Statistical Models for Problem Discovery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . I did not think that this would work, my best friend showed me this website, and it does! . . . . . . . . . . . . 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. 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