Quantifying the User Experience: Practical Statistics for User Research , 2/e (paperback)

Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website?

This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout.

• Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices
• Includes new and revised information on standardized usability questionnaires, as well as general linear modeling (correlation, regression, and analysis of variance)
• Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data
• Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English

《量化使用者體驗：使用者研究的實用統計學，第二版》提供從業人員和研究人員所需的資訊，以自信地量化、評估和證明他們的數據。本書提供了一個實用指南，教導如何使用統計學解決使用者研究中常見的定量問題。它回答了使用者每天面臨的問題，包括：目前的產品是否比競爭對手更易用？我們能確定至少有70％的使用者能在第一次嘗試時完成任務嗎？使用者在網站上購買產品需要多長時間？

本書提供了統計理論的基礎和應用所需的最佳實踐。作者們借鑒了人因工程、工業工程和心理學等領域數十年的統計文獻，以及他們自己的發表研究，提供了具體的解決方案（Excel公式和指向他們自己網絡計算器的鏈接），並就測試的統計原因以及如何有效地傳達結果進行了引人入勝的討論。在這個新版中，讀者將找到標準化可用性問卷的更新，以及關於一般線性建模（相關性、回歸和變異數分析）的新章節，並提供了更新的示例和案例研究。

本書完全更新，提供了解決任何項目中可用性測試問題的實用指南，包括使用六西格瑪方法的項目。它包括有關標準化可用性問卷的新信息和修訂信息，以及一般線性建模（相關性、回歸和變異數分析）的信息。它向從業人員展示了哪種測試方法適用，為什麼它們有效，以及應用的最佳實踐，並提供了易於使用的Excel公式和網絡計算器，用於分析數據。它還建議研究人員和從業人員以通俗易懂的方式向利益相關者傳達結果。