Quantifying the User Experience

- Practical Statistics for User Research

  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

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.

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  • Vægt770 g
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    10 cm
    book img
    19,1 cm
    23,5 cm

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    Benchmarking Er Confidence Factor analysis Measurement Analysis of variance Eye tracking Emo Confidence interval Linear regression Margin of error ANOVA Benchmark HQ Clicks Controversies Comments Binomial model Interval GLM Heterogeneity Continuous data Hypothesis testing Multiple Comparisons Correlation Goal MST Comparative Interaction Criterion Formative ACSI American Customer Satisfaction Index Between-subjects Acquiescence bias Adjusted-Wald binomial confidence interval Adjustment of estimates from small samples After-Scenario Questionnaire And Ease-of-Use ASQ Beta-binomial model Binary measure Binomial confidence interval Binomial probability formula Bonferroni adjustment Capture-recapture model Chi-squared test Binomial Test Coefficient Alpha combined scores completion rates CxPi discovery goal discrete-binary data CSUQ Decision Map deflation adjustment combining measurements Completion Time comparison of groups comparison with benchmark or criterion comparison of alternatives comparison with a benchmark Fisher Exact Test Computer System Usability Questionnaire continuous measure gias conversion rates Customer Experience Index Good-Turing discounting general linear model Hedonic Quality independent proportions Intranet Satisfaction Questionnaire Emotional Metric Outcomes lord Expectation Ratings estimation of value or parameter lopsided test Magic Number 5 formative user research measuringu.com football numbers mixed tone log-transform major conferences General Internet Attitude Scale McNemar exact test McNemar Test midprobability Geometric mean logit-normal binomial model ISQ multipoint scale mid-p Modified System Trust Scale matched proportions

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