| 000 | 05177cam a22005893i 4500 | ||
|---|---|---|---|
| 001 | ocn953747222 | ||
| 003 | OCoLC | ||
| 005 | 20190328114815.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 160719s2016 xx ob 001 0 eng d | ||
| 040 |
_aYDXCP _beng _epn _cYDXCP _dYDX _dEBLCP _dN$T _dOPELS _dOCLCQ _dOCLCO _dUPM _dIDB _dOTZ _dMERUC _dU3W _dD6H _dOCLCQ |
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| 019 |
_a954045722 _a957605287 |
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| 020 |
_a9780128025482 _q(electronic bk.) |
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| 020 |
_a0128025484 _q(electronic bk.) |
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| 020 | _z0128023082 | ||
| 020 | _z9780128023082 | ||
| 035 |
_a(OCoLC)953747222 _z(OCoLC)954045722 _z(OCoLC)957605287 |
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| 050 | 4 |
_aQA76.9.U83 _bS33 2016 |
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| 072 | 7 |
_aCOM _x013000 _2bisacsh |
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| 072 | 7 |
_aCOM _x014000 _2bisacsh |
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| 072 | 7 |
_aCOM _x018000 _2bisacsh |
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| 072 | 7 |
_aCOM _x067000 _2bisacsh |
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| 072 | 7 |
_aCOM _x032000 _2bisacsh |
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| 072 | 7 |
_aCOM _x037000 _2bisacsh |
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| 072 | 7 |
_aCOM _x052000 _2bisacsh |
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| 082 | 0 | 4 |
_a004.01/9 _223 |
| 100 | 1 | _aSauro, Jeff. | |
| 245 | 1 | 0 |
_aQuantifying the user experience : practical statistics for user research / _h[electronic resource] |
| 260 |
_a[Place of publication not identified] : _bMorgan Kaufmann, _c2016. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aCover ; Title Page; Copyright Page; Dedication; Contents; Biographies; Foreword; Preface to the Second Edition; Acknowledgments; Chapter 1 -- Introduction and how to use this book; Introduction; The organization of this book; How to use this book; What test should I use?; What sample size do I need?; You don't have to do the computations by hand; Key points; Chapter review questions; Answers to chapter review questions; References; Chapter 2 -- Quantifying user research; What is user research?; Data from user research; Usability testing; Sample sizes; Representativeness and randomness. | |
| 505 | 8 | _aThree types of studies for user researchData collection; Completion rates; Usability problems (UI problems); Task Time; Errors; Satisfaction ratings; Combined scores; A/B testing; Clicks, page views, and conversion rates; Survey data; Rating scales; Net Promoter Scores; Comments and open-ended data; Requirements gathering; Key points; References; Chapter 3 -- How precise are our estimates? Confidence intervals; Introduction; Confidence interval = twice the margin of error; Confidence intervals provide precision and location; Three components of a confidence interval; Confidence level. | |
| 505 | 8 | _aVariabilitySample size; Confidence interval for a completion rate; Confidence interval history; Wald interval: terribly inaccurate for small samples; Exact confidence interval; Adjusted-Wald: add two successes and two failures; Best point estimates for a completion rate; Guidelines on reporting the best completion rate estimate; How accurate are point estimates from small samples?; Confidence interval for a problem occurrence; Confidence interval for rating scales and other continuous data; Confidence interval for task-time data; Mean or median task time?; Variability; Bias; Geometric mean. | |
| 505 | 8 | _aComputing the geometric meanLog transforming confidence intervals for task-time data; Confidence interval for large sample task times; Confidence interval around a median; Key points; Chapter review questions; Answers to chapter review questions; References; Chapter 4 -- Did we meet or exceed our goal?; Introduction; One-tailed and two-tailed tests; Comparing a completion rate to a benchmark; Small sample test; Mid-probability; Large sample test; Comparing a satisfaction score to a benchmark; Do at least 75% agree? converting continuous ratings to discrete. | |
| 505 | 8 | _aDisadvantages to converting continuous ratings to discreteNet Promoter Score; Comparing a task time to a benchmark; Key points; Chapter review questions; Answers to chapter review questions; References; Chapter 5 -- Is there a statistical difference between designs?; Introduction; Comparing two means (rating scales and task times); Within-subjects comparison (paired t-test); Confidence interval around the difference; Practical significance; Comparing task times; Normality assumption of the paired t-test; Between-subjects comparison (two-sample t-test); Confidence interval around the difference. | |
| 650 | 0 |
_aUser interfaces (Computer systems) _xTesting _xStatistical methods. |
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| 650 | 7 |
_aCOMPUTERS _xComputer Literacy. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xComputer Science. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xData Processing. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xHardware _xGeneral. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xInformation Technology. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xMachine Theory. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xReference. _2bisacsh |
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| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aSauro, Jeff. _tQuantifying the user experience. _d[Place of publication not identified] : Morgan Kaufmann, 2016 _z0128023082 _z9780128023082 _w(OCoLC)940520619 |
| 856 | 4 | 0 |
_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9780128023082 |
| 999 |
_c247383 _d247383 |
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