Quantifying the user experience :: practical statistics for user research /
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, MA, United States :
Morgan Kaufmann,
[2016]
|
| Ausgabe: | 2nd edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780128025482 0128025484 |
Internformat
MARC
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| 100 | 1 | |a Sauro, Jeff, |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjKP9VjYXfX7hgF497DqjP |0 http://id.loc.gov/authorities/names/n2011085124 | |
| 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, United States : |b Morgan Kaufmann, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource | ||
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| 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. | |
| 650 | 0 | |a User interfaces (Computer systems) |x Testing |x Statistical methods. | |
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| 700 | 1 | |a Lewis, James R., |d 1953- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjJgMgCMbRXxcggtQt9wfq |0 http://id.loc.gov/authorities/names/n2010076006 | |
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Datensatz im Suchindex
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| author | Sauro, Jeff Lewis, James R., 1953- |
| author_GND | http://id.loc.gov/authorities/names/n2011085124 http://id.loc.gov/authorities/names/n2010076006 |
| author_facet | Sauro, Jeff Lewis, James R., 1953- |
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| contents | 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. 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. 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. 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. 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. |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
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| dewey-search | 004.01/9 |
| dewey-sort | 14.01 19 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 2nd edition. |
| format | Electronic eBook |
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| publisher | Morgan Kaufmann, |
| record_format | marc |
| spelling | Sauro, Jeff, author. https://id.oclc.org/worldcat/entity/E39PCjKP9VjYXfX7hgF497DqjP http://id.loc.gov/authorities/names/n2011085124 Quantifying the user experience : practical statistics for user research / Jeff Sauro, James R. Lewis. 2nd edition. Cambridge, MA, United States : Morgan Kaufmann, [2016] ©2016 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 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. 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. 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. 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. 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. User interfaces (Computer systems) Testing Statistical methods. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Lewis, James R., 1953- author. https://id.oclc.org/worldcat/entity/E39PCjJgMgCMbRXxcggtQt9wfq http://id.loc.gov/authorities/names/n2010076006 has work: Quantifying the user experience (Text) https://id.oclc.org/worldcat/entity/E39PCGgtFmPgPBMBWDbhhFpJKq https://id.oclc.org/worldcat/ontology/hasWork Print version: Sauro, Jeff. Quantifying the user experience. [Place of publication not identified] : Morgan Kaufmann, 2016 0128023082 9780128023082 (OCoLC)940520619 FWS01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780128023082 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780128023082 Volltext FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1198058 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1198058 Volltext |
| spellingShingle | Sauro, Jeff Lewis, James R., 1953- Quantifying the user experience : practical statistics for user research / 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. 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. 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. 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. 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. User interfaces (Computer systems) Testing Statistical methods. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh |
| title | Quantifying the user experience : practical statistics for user research / |
| title_auth | Quantifying the user experience : practical statistics for user research / |
| title_exact_search | Quantifying the user experience : practical statistics for user research / |
| title_full | Quantifying the user experience : practical statistics for user research / Jeff Sauro, James R. Lewis. |
| title_fullStr | Quantifying the user experience : practical statistics for user research / Jeff Sauro, James R. Lewis. |
| title_full_unstemmed | Quantifying the user experience : practical statistics for user research / Jeff Sauro, James R. Lewis. |
| title_short | Quantifying the user experience : |
| title_sort | quantifying the user experience practical statistics for user research |
| title_sub | practical statistics for user research / |
| topic | User interfaces (Computer systems) Testing Statistical methods. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh |
| topic_facet | User interfaces (Computer systems) Testing Statistical methods. COMPUTERS Computer Literacy. COMPUTERS Computer Science. COMPUTERS Data Processing. COMPUTERS Hardware General. COMPUTERS Information Technology. COMPUTERS Machine Theory. COMPUTERS Reference. |
| url | https://www.sciencedirect.com/science/book/9780128023082 https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1198058 |
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