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Quantifying the user experience : practical statistics for user research /
Providing practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data, this book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. --
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, MA :
Elsevier/Morgan Kaufmann,
[2016]
|
| Edición: | 2nd edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Sauro, Jeff, |e author. | |
| 245 | 1 | 0 | |a Quantifying the user experience : |b practical statistics for user research / |c Jeff Sauro, James R. Lewis. |
| 250 | |a 2nd edition. | ||
| 264 | 1 | |a Cambridge, MA : |b Elsevier/Morgan Kaufmann, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Cover ; 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 | |a Three 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 | |a VariabilitySample 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 | |a Computing 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 | |a Disadvantages 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. | |
| 520 | |a Providing practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data, this book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. -- |c Edited summary from book. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a User interfaces (Computer systems) |x Testing |x Statistical methods. | |
| 650 | 7 | |a COMPUTERS |x Computer Literacy. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Computer Science. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Hardware |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Information Technology. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Reference. |2 bisacsh | |
| 650 | 7 | |a Interfícies gràfiques d'usuari (Informàtica) |2 thub | |
| 655 | 7 | |a Llibres electrònics. |2 thub | |
| 700 | 1 | |a Lewis, James R., |d 1953- |e author. | |
| 776 | 0 | 8 | |i Print version: |a Sauro, Jeff. |t Quantifying the user experience. |b 2nd edition. |d Cambridge, MA, United States : Morgan Kaufmann, [2016] |z 0128023082 |w (OCoLC)958084059 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9780128025482/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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| 994 | |a 92 |b IZTAP | ||