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Quantifying the User Experience: Practical Statistics for User Research von [Sauro, Jeff, Lewis, James R]
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Quantifying the User Experience: Practical Statistics for User Research Kindle Edition

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Länge: 312 Seiten Sprache: Englisch

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Produktbeschreibungen

Pressestimmen

""Written in a conversational style for those who measure behavior and attitudes of people as they interact with technology interfaces, this guide walks readers through common questions and problems encountered when conducting, analyzing, and reporting on user research projects using statistics, such as problems related to estimates and confidence intervals, sample sizes, and standardized usability questionnaires. For readers with varied backgrounds in statistics, the book includes discussion of concepts as necessary and gives examples from real user research studies. The book begins with a background chapter overviewing common ways to quantify user research and a review of fundamental statistical concepts. The material provides enough detail in its formulas and examples to let readers do all computations in Excel, and a website offers an Excel calculator for purchase created by the authors, which performs all the computations covered in the book. An appendix offers a crash course on fundamental statistical concepts."""--Reference and Research Book News, August 2012, page 186-7 "

"

"The most unique contributions of this book are the logic and practicality used to describe the appropriate application of those measures Sauro and Lewis strike a perfect balance between the complexity of statistical theory and the simplicity of applying statistics practically. Whether you wish to delve deeper into the enduring controversies in statistics, or simply wish to understand the difference between a "t"-test and Chi-square, you will find your answer in this book. "Quantifying the User Experience "is an invaluable resource for those who are conducting user research in industry."--User Experience, Vol. 13, Issue 1, 1st Quarter """Written in a conversational style for those who measure behavior and attitudes of people as they interact with technology interfaces, this guide walks readers through common questions and problems encountered when conducting, analyzing, and reporting on user research projects using statistics, such as problems related to estimates and confidence intervals, sample sizes, and standardized usability questionnaires. For readers with varied backgrounds in statistics, the book includes discussion of concepts as necessary and gives examples from real user research studies. The book begins with a background chapter overviewing common ways to quantify user research and a review of fundamental statistical concepts. The material provides enough detail in its formulas and examples to let readers do all computations in Excel, and a website offers an Excel calculator for purchase created by the authors, which performs all the computations covered in the book. An appendix offers a crash course on fundamental statistical concepts."""--Reference and Research Book News, August 2012, page 186-7 "

"

" as a whole, it provides a pragmatic approach to quantifying UX, without oversimplifying or claiming too much. It delivers what it promises. This book is valuable for both practitioners and students, in virtually any discipline. It can help psychologists transfer their statistical knowledge to UX practice, practitioners quickly assess their envisioned design and analysis, engineers demystify UX, and students appreciate UX s merits."--ComputingReviews.com, March 19, 2013 "The most unique contributions of this book are the logic and practicality used to describe the appropriate application of those measures Sauro and Lewis strike a perfect balance between the complexity of statistical theory and the simplicity of applying statistics practically. Whether you wish to delve deeper into the enduring controversies in statistics, or simply wish to understand the difference between a "t"-test and Chi-square, you will find your answer in this book. "Quantifying the User Experience "is an invaluable resource for those who are conducting user research in industry."--User Experience, Vol. 13, Issue 1, 1st Quarter """Written in a conversational style for those who measure behavior and attitudes of people as they interact with technology interfaces, this guide walks readers through common questions and problems encountered when conducting, analyzing, and reporting on user research projects using statistics, such as problems related to estimates and confidence intervals, sample sizes, and standardized usability questionnaires. For readers with varied backgrounds in statistics, the book includes discussion of concepts as necessary and gives examples from real user research studies. The book begins with a background chapter overviewing common ways to quantify user research and a review of fundamental statistical concepts. The material provides enough detail in its formulas and examples to let readers do all computations in Excel, and a website offers an Excel calculator for pur

""Quantifying the User Experience will make a terrific textbook for any series of UX research courses I highly recommend this book to anyone who wants to integrate quantitative data into their UX practice."--"Technical Communication, May 2013 "" as a whole, it provides a pragmatic approach to quantifying UX, without oversimplifying or claiming too much. It delivers what it promises. This book is valuable for both practitioners and students, in virtually any discipline. It can help psychologists transfer their statistical knowledge to UX practice, practitioners quickly assess their envisioned design and analysis, engineers demystify UX, and students appreciate UX s merits."--ComputingReviews.com, March 19, 2013 "The most unique contributions of this book are the logic and practicality used to describe the appropriate application of those measures Sauro and Lewis strike a perfect balance between the complexity of statistical theory and the simplicity of applying statistics practically. Whether you wish to delve deeper into the enduring controversies in statistics, or simply wish to understand the difference between a t-test and Chi-square, you will find your answer in this book. Quantifying the User Experience is an invaluable resource for those who are conducting user research in industry."--""User Experience, Vol. 13, Issue 1, 1st Quarter "Written in a conversational style for those who measure behavior and attitudes of people as they interact with technology interfaces, this guide walks readers through common questions and problems encountered when conducting, analyzing, and reporting on user research projects using statistics, such as problems related to estimates and confidence intervals, sample sizes, and standardized usability questionnaires. For readers with varied backgrounds in statistics, the book includes discussion of concepts as necessary and gives examples from real user research studies. The book begins with a background chapter overviewing common ways to quantify user research and a review of fundamental statistical concepts. The material provides enough detail in its formulas and examples to let readers do all computations in Excel, and a website offers an Excel calculator for purchase created by the authors, which performs all the computations covered in the book. An appendix offers a crash course on fundamental statistical concepts."--Reference and Research Book News, August 2012, page 186-7""

Kurzbeschreibung

Quantifying 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 practices
  • Show practitioners which test to use, why they work, best practices in application, along with easy-to-use excel formulas and web-calculators for analyzing data
  • Recommends ways for practitioners to communicate results to stakeholders in plain English
  • Resources and tools available at the authors’ site: http://www.measuringu.com/


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 6644 KB
  • Seitenzahl der Print-Ausgabe: 312 Seiten
  • Verlag: Morgan Kaufmann; Auflage: 1 (16. März 2012)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B007NJP8TE
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Verbesserter Schriftsatz: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen 2 Kundenrezensionen
  • Amazon Bestseller-Rang: #407.155 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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Format: Taschenbuch Verifizierter Kauf
Hier folgen nun lediglich ein paar Wörter, die vorerst als Platzhalter dienen sollen. Sobald ich mit dem Buch und seiner Anwendung durch bin, erfolg eine ausführlichere Rezension.

Ich kann bis hier schon sagen: Starke Leistung! Kein abgedrehtes (zu) wissenschaftliches Herumgerede, sondern direkter Praxiseinstieg mit Beispielen, die nachvollziehbar und nachrechenbar sind.

Zu empfehlen für UXler, die einen Leitfaden benötigen hinsichtlich der Themen: Konfidenzintervalle um Completion Rates, Times, Satisfaction, Erstellung von Fragebögen, statistischer Vergleich von zwei Designs, usw.

Definitiv auch ein Buch, bei dem es sich lohnte es zu lesen. Keine einzige verschwendete Seite und spannende Erkenntnisse sind garantiert!

Selbst die englische Sprache ist hier auf einem Niveau, das man wirklich gut verstehen und nachstellen kann.

Thank you Jeff Sauro
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Format: Kindle Edition
Wer als UX-Praktiker arbeitet und richtig tief einsteigen will ins Thema Statistik, der wird hier glücklich.

Das Buch geht in die Vollen. Die Formeln sind hier nicht nur kurz erwähnt, sondern detailliert erklärt. Beispielrechnungen belegen, warum in manchen Fällen manche übliche statistische Tests ungünstig sind und zeigen, wie man es besser machen kann. Nachvollziehbar für jeden, der die mathematischen Details nachvollziehen will.

Wer etwa den Chi-Quadrat-Test verwendet, um festzustellen, ob bei einem Usabilitytest gefundene Ergebnisse signifikant sind, der lernt in diesem Buch, dass die Ergebnisse damit meist verfälscht sind. Denn bei kleinen Stichproben liefert der Fischer Exact-Test korrektere Ergebnisse. Wie der angewandt wird, ist natürlich genau erklärt.

Das Buch ist für Praktiker, und das Inhaltsverzeichnis ist so geschickt gemacht, dass man sich bei fast jeder Überschrift denkt: “Das muss ich wissen!” Es enthält Fragen wie:

Welchen Test nehme ich wann?
Wie groß muss meine Stichprobe sein?
Median oder Mittelwert für Bearbeitungszeiten?
Wie vergleicht man die Ergebnisse für zwei Prototypen?
Wie erhebe ich die Nutzerzufriedenheit?
Darf man verschiedene Metriken kombinieren?

Ein Tipp: Wer noch nicht ganz so fit ist in Statistik, der sollte als Erstes den 18seitigen Anhang lesen – den Crashkurs in Statistik.

Und eine Warnung: Bei diesem Buch reicht es nicht, wenn man Grundwissen in Mathematik hat – ein gewisses Interesse an Formeln und das Durchhaltevermögen, auch komplexere Gleichungen zu verstehen, sind ebenfalls gefragt.
Lesen Sie weiter... ›
Kommentar 2 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: HASH(0x9e6ce248) von 5 Sternen 10 Rezensionen
6 von 6 Kunden fanden die folgende Rezension hilfreich
Von hans hartman - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Whether you're conducting large sample research projects or small ones, "Quantifying the user experience" is the most comprehensive and pragmatic statistical handbook I've seen that systematically explains various statistical methods for drawing reliable conclusions or determining the optimal sample sizes. Great resource for conducting surveys, A/B tests or (and here they really shine) small sample usability testing projects.

Rather than starting with a description of various statistical theories, the authors begin with specific user research scenarios and then introduce the theoretical methods they feel most suitable for planning or analyzing these scenarios. They don't shy away from sharing their pragmatic preferences for particular methods, based on their own experience working in the field.

I find the book useful also beyond user experience testing scenarios - it is a great resource for any user-oriented research, including various types of marketing research.
3 von 3 Kunden fanden die folgende Rezension hilfreich
HASH(0x9e5b55ac) von 5 Sternen Great resource for quant work in user research! 6. Juli 2012
Von John Dirks - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
I've been waiting for a book like this for a long time. Most of my user research consulting work is qualitative, but I'm periodically faced with running benchmark usability studies or designing other quantitative user research projects that involve inferential statistics. No more dusting off old college stats textbooks. This book and its Excel and R Companion book are a one-stop shop for determining appropriate quantitative research methods and statistical tests to use in UX work. The authors draw many practical examples from usability studies, tie statistical theory together with practice when using small sample sizes, and even include a crash course in statistical concepts as an appendix. I've been a fan of Jeff Sauro's website for several years now and am very pleased that he and Jim Lewis have authored this exceptional resource.
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x9e5b548c) von 5 Sternen Well done how Jeff introduced me into Measuring the User Experience 28. Mai 2014
Von kcnsays - Veröffentlicht auf Amazon.com
Format: Taschenbuch
First things first: Thank you, Jeff! I can not say how oftenI told myself (and also "bugged" my colleagues with it) that I am so glad to have read this book. As a solid fundament for the statistical part to my master thesis concerning usability I was looking for some material. THIS book gave me everything I have needed so far.

By following it chapter through chapter, Jeff will run you through the most important statistical tools and knowledge that is necessary for you to actually measure the user experience. I have read this within three days, marked every little spot that seemed to be important and after this I was planning my studies. Impossible to say how happy I was, when I saw that Jeff is also spending a whole chapter on questionaires. For example, he will explain why the have to be undergone "psychometric qualification" (totally new information for me). But you wont be left alone with this information. Right after he is sheding light on the most common questionaire types (post task and post test questionaires) plus the statistical analysis.

I could be writing a lot more here at this point (and I probably will when my thesis is done) but for now let me tell you: Read this book and see how interesting/helpful and essential statistics are when doing user research.

Great job, full recommendation!
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x9edeb468) von 5 Sternen Valuable book for both researchers and managers 22. Mai 2012
Von Dean Barker - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Extremely valuable book. Will be useful for practitioners and managers of user experience. I've been practicing user research for two decades and a book like this is long overdue. The authors cover the foundations of quantitative user research and present a number of leading edge ideas. They present complex formulas in a way that allows those with just basic skills in statistics to still leverage the techniques presented. They even show you the back of the napkin math on the back of a napkin!

The decision maps for application of specific techniques and the discussion of statistical controversies will be particularly useful for intermediate practitioners. Also, there are copious references which provide for additional learning, reference, and citations to apply to your own research.
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x9edeb7ec) von 5 Sternen Real world insights into usability statistics 6. Mai 2012
Von J. O'Farrell - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Quantifying the User Experience - Practical Statistics for User Research has been instrumental in my thesis and dissertation related to ERP usability analysis. Sauro and Lewis combine to bring real work pragmatic examples of methods for analyzing data esp., as it relates to small populations of data - often what you have as you process your experiments. The information is laid out very clearly, with examples of usability statistical operations throughout the book. I highly recommend this book to anyone doing usability research and analysis.
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