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020			_a0123849691
020			_a9780123849694
040			_cDLC
082			_a004.019 SAU
100			_aJeff Sauro _939770
222			_aadjustment alpha analysis average benchmark binary binomial confidence interval cell Chapter chi-square test comparing comparison complete the task completion rate compute correlation critical difference critical value degrees of freedom Design Enterprise.com example Excel function Figure formula groups heuristic evaluations Hornbæk Human Factors Human–Computer Interaction Interaction interface iteration Jeff Sauro large sample level of confidence levels of measurement margin of error McNemar exact test measure median methods nadj normal distribution null hypothesis number of problems observed overall p-value padj paired t-test participants population probability problem discovery proportion PSSUQ psychometric range recommend reliability responses sample mean sample size estimation satisfaction scores small sample SMEQ standard deviation standard error standardized usability questionnaires subscales SUMI SUPR-Q t-distribution Tullis two-proportion test two-sided two-tailed Type I error typically usability metrics usability problems usability testing User Experience user research variability variance Wald WAMMI within-subjects z-score
245			_aQuantifying the User Experience _b Practical Statistics for User Research
260			_aLondon _b Elsevier _c2012
300			_a 312 pages
505			_aContents: 1 Introduction and How to Use This Book 2 Quantifying User Research 3 How Precise Are Our Estimates? Confidence Intervals 4 Did We Meet or Exceed Our Goal? 5 Is There a Statistical Difference between Designs? Part 1 Summative Studies Part 2 Formative Studies 8 Standardized Usability Questionnaires 9 Six Enduring Controversies in Measurement and Statistics 10 Wrapping Up A Crash Course in Fundamental Statistical Concepts Index
520			_aQuantifying 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 practicesShow practitioners which test to use, why they work, best practices in application, along with easy-to-use excel formulas and web-calculators for analyzing dataRecommends ways for practitioners to communicate results to stakeholders in plain English Resources and tools available at the authors’ site: http://www.measuringu.com/
600			_xComputers / Human-Computer Interaction (HCI) _939771
600			_xComputers › Human-Computer Interaction (HCI) _939772
700			_a James R Lewis _939773
942			_2ddc _cBK
999			_c18145 _d18145