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Books on the topic 'User metrics'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Bill, Albert, ed. Measuring the user experience: Collecting, analyzing, and presenting usability metrics. Elsevier/Morgan Kaufmann, 2008.

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service), SpringerLink (Online, ed. Performance Metrics for Haptic Interfaces. Springer London, 2012.

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3

Clifton, Brian. Advanced Web metrics with Google Analytics. 2nd ed. Wiley Pub., 2010.

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4

Clifton, Brian. Advanced Web Metrics with Google Analytics. John Wiley & Sons, Ltd., 2008.

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5

E, Sexton Donald. Value above cost: Driving superior financial performance with CVA®, the most important metric you've never used. FT Press, 2009.

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6

Bahls, Loren L. Support of aquatic life uses in the Upper Boulder River (Yellowstone River drainage) based on Diatom species composition and Diatom association metrics. [Montana Dept. of Environmental Quality], 1999.

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7

1968-, Kamal Eric Djira, ed. E-metrics for library and information professionals: How to use data for managing and evaluating electronic resource collections. Neal-Schuman Publishers, 2006.

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8

Albert, William, and Thomas Tullis. Measuring the User Experience: Collecting, Analyzing, and Presenting UX Metrics. Elsevier Science & Technology Books, 2022.

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9

Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Elsevier Science & Technology Books, 2013.

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10

Albert, William, and Thomas Tullis. Measuring the User Experience: Collecting, Analyzing, and Presenting UX Metrics. Elsevier Science & Technology, 2022.

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11

Albert, Bill, and Tom Tullis. Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Elsevier Science & Technology Books, 2010.

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12

Measuring The User Experience Collecting Analyzing And Presenting Usability Metrics. Elsevier Science & Technology, 2013.

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13

Vinyard, Marc W., and Jaimie Beth Colvin. Demystifying Scholarly Metrics. ABC-CLIO, 2022. http://dx.doi.org/10.5040/9798400639180.

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Demystifying Scholarly Metrics gives librarians and faculty the confidence to navigate the maze of scholarly metrics, identify quality journals in which to publish, and measure the impact of scholarly works.re the impact of scholarly works. Both librarians and professors can be overwhelmed by the bewildering number of scholarly metrics. This user-friendly book demystifies them, helping librarians become familiar with scholarly metrics and giving them the confidence to assist faculty at their institutions. It also equips faculty authors with the knowledge to evaluate journals and use metrics to

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14

Samur, Evren. Performance Metrics for Haptic Interfaces. Springer London, Limited, 2014.

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15

Samur, Evren. Performance Metrics for Haptic Interfaces. Springer, 2012.

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16

An Intelligent User Interface to Support Air Force Weather Product Generation and Automated Metrics. Storming Media, 2000.

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17

Chen, Eve. Growth Product Manager's Handbook: Winning Strategies and Frameworks for Driving User Acquisition, Retention, and Optimizing Metrics. Packt Publishing, Limited, 2024.

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18

Nacke, Lennart E. Introduction to biometric measures for Games User Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794844.003.0016.

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This chapter presents the physiological metrics used in Games User Research (GUR). Aimed at GUR professionals in the games industry, it explains what methods are available to researchers to measure biometric data while subjects are engaged in play. It sets out when it is appropriate to use biometric measures in GUR projects, the kind of data generated, and the differing ways it can be analysed. The chapter also discusses the trade-offs required when interpreting physiological data, and will help games researchers to make informed decisions about which research questions can benefit from biomet

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19

Huwe, Ruth A. Metrics 2.0. ABC-CLIO, LLC, 2010. http://dx.doi.org/10.5040/9798400685071.

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This one-stop handbook gives managers who have been charged with creating metric scorecards techniques that will make them truly effective. Written for managers who want/need to create and use scorecards, Metrics 2.0: Creating Scorecards for High-Performance Work Teams and Organizations provides a unique perspective on this vital management tool. Focusing on performance improvement, it describes the intellectual foundation behind scorecards and demonstrates how metrics can be used to enhance feedback, motivation, and employee engagement. The book offers a background primer on statistics and re

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20

Roger, Mccormick, and Stears Chris. Part IX Legal and Conduct Risk Management, 31 Metrics in Conduct Risk and Reputation Management: Predictions and Perception. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198749271.003.0032.

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Despite being over a decade on from and the onset of the global financial crisis, organisations are still battling to regain the trust that was lost. A bank whose business practices might be applauded on the basis of its financial performance might be harbouring an unidentified/unmitigated level of conduct risk that could undermine its sustainability and trustworthiness. One way that stakeholders can assess the bank’s culture, conduct and ultimately, its trustworthiness and ‘investment value’ is through the use of metrics. This chapter explores the use of metrics for both conduct and reputatio

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21

Barkley, Thomas. Energy Risk Management. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656010.003.0024.

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The backdrop of rapid growth of worldwide energy consumption and increasing concerns about global energy sustainability and environment protection, as well as an increasing uncertainty of commodity prices, require energy companies to use derivatives to hedge against risks related to energy trading. Over time, this situation has led to a more important role for energy risk management as part of a company’s core business operation. This chapter discusses the primary financial instruments used in the energy sector and risk management for energy companies. It reviews the application of several imp

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22

Frog, Satu Grünthal, Kati Kallio, and Jarkko Niemi, eds. Versification: Metrics in Practice. SKS Finnish Literature Society, 2022. http://dx.doi.org/10.21435/sflit.12.

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Versification describes the marriage of language and poetic form through which poetry is produced. Formal principles, such as metre, alliteration, rhyme, or parallelism, take precedence over syntax and prosody, resulting in expressions becoming organised as verse rather than prose. The aesthetic appeal of poetry is often linked to the potential for this process to seem mysterious or almost magical, not to mention the interplay of particular expressions with forms and expectations. The dynamics of versification thus draw a general interest for everyone, from enthusiasts of poetry or forms of ve

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23

Janicak, Christopher A. Safety Metrics. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9798892051286.

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This completely updated and practical guide will help you evaluate your company’s current safety and health processes and make fact-based decisions that continually improve overall performance. Written for professionals with limited exposure to statistics and safety-performance-measurement strategies, Safety Metrics: Tools and Techniques for Measuring Safety Performance shows you how to assess trends, inconsistencies, data, safety climates, work with data, and help with training in your workplace so you can identify areas that need corrective actions before an accident or injury occurs. Safety

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24

Newman, Mark. Measures and metrics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0007.

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This chapter describes the measures and metrics that are used to quantify network structure. The chapter starts with a discussion of centrality measures, which are used to identify central or important nodes in networks. Measures discussed include degree centrality, eigenvector centrality, PageRank, closeness, and betweenness. This is followed by a discussion of groupings of nodes like cliques and components, transitivity measures including the clustering coefficient, structural balance in networks, similarity measures, and assortative mixing.

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25

Bronsteen, John, Christopher Buccafusco, and Jonathan Masur. Well-Being and Public Policy. Edited by Francesco Parisi. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199684267.013.028.

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Governments rely on certain basic metrics and tools to analyze prospective laws and policies and to monitor how well their countries are doing. In the United States, cost-benefit analysis (CBA) is the primary tool for analyzing prospective policies, especially with respect to administrative regulations. Similarly, Gross Domestic Product (GDP) is perhaps the most prominent metric for monitoring a country's progress. In recent years, one of the most important developments in social science has been the emergence of psychological research measuring subjective well-being (SWB) or ‘happiness’. This

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26

Pandey, Manish, and Sylvie Albert. Performance Metrics for Sustainable Cities. Taylor & Francis Group, 2021.

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27

Pandey, Manish, and Sylvie Albert. Performance Metrics for Sustainable Cities. Taylor & Francis Group, 2021.

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28

Performance Metrics for Sustainable Cities. Routledge, 2021.

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29

Performance Metrics for Sustainable Cities. Taylor & Francis Group, 2021.

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30

Credit Risk Management for Derivatives: Post-Crisis Metrics for End-Users. Springer International Publishing AG, 2017.

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31

Zelenko, Ivan. Credit Risk Management for Derivatives: Post-Crisis Metrics for End-Users. Palgrave Macmillan, 2018.

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32

Reiser, Dana Brakman, and Steven A. Dean. The Promise of Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190249786.003.0007.

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This chapter considers social enterprise law’s reliance upon metrics: the tools for measuring the success of a venture’s social mission. It explains that measuring social return presents a far more daunting challenge than quantifying financial yield, and describes ongoing efforts to meet this challenge. In doing so, it focuses first on foundational metrics like IRIS, which creates a vocabulary for discussing impact, and then on evaluative metrics like B Lab’s B Impact Assessment, which uses this vocabulary to judge and compare a social enterprise’s success across industries and over time. The

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33

Goliszek, Sławomir. Znaczenie komponentów dostępności transportowej w Szczecinie w latach 2009-2018 = Significance of transport acces-sibility components in Szczecin in the period 2009-2018. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego, Polska Akademia Nauk, 2022. http://dx.doi.org/10.7163/9788361590910.

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This monograph deals with the importance of the components of transport accessibility in the city of Szczecin, north-western Poland, over the period 2009-2018, with particular attention to public transport. The study uses census districts to look at the accessibility of a range of destinations by both public and private (car) means of transport in 2018 and adds three other years, 2009, 2012 and 2015, for public transport alone. The empirical part of the study involved statistical methods and specific points in time in 2018, including date, hour and minute. The specific metrics used for the sta

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34

Chromaticity gamut area calculator. Society for Information Display, 2012. http://dx.doi.org/10.55410/njaw6769.

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This template calculates the relative CIE 1976 u'v' chromaticity gamut area from measured CIE 1931 xy RGB chromaticities. The reference is either the CIE 1976 locus or a triangle defined by arbitrary RGB chromaticities (default is sRGB). The chromaticity gamut area has been inappropriately referred to as "color gamut" for many years. In addition, it has been plausibly claimed that u'v' area is more appropriate than xy area because of the nominal uniformity of the u'v' chromaticity diagram. However, perceptual color differences in the u'v' diagram depend on luminance. Color is three dimensional

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35

Fink, Alexis A., and Michael C. Sturman. HR Metrics and Talent Analytics. Edited by David G. Collings, Kamel Mellahi, and Wayne F. Cascio. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198758273.013.25.

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Taking advantage of the history of research quantifying the effects of human resource (HR) practices, leveraging current advances in information systems and opportunities presented by big data, HR metrics and talent analytics present a renewed opportunity to help drive effective HR practices. HR metrics are operational measures, addressing how efficient, effective, and impactful an organization’s HR practices are. In contrast, talent analytics focus on decision points, guiding investment decisions. The chapter provides an overview of the historic roots and current practices around HR metrics a

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36

Golan, Amos. Info-Metrics and Statistical Inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0013.

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In this chapter I concentrate on continuous inferential problems: problems where the dependent variable is continuous, such as classical regression problems. As in the previous chapter, using duality theory, I show that the info-metrics framework is general enough to include the class of information-theoretic methods as a special case. The formulation is developed for the classical regression problem, but the results apply to many other problems. A detailed discussion of the benefits and costs of using the info-metrics framework is provided and contrasted with other approaches. I use theoretic

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37

Soghier, Lamia, Katherine Pham, and Sara Rooney, eds. Reference Range Values for Pediatric Care. American Academy of Pediatrics, 2014. http://dx.doi.org/10.1542/9781581108545.

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Here’s the one place to look for normal values and related need-to-know data! Now you no longer have to search through multiple resources for reference ranges and other critical values you need to optimize patient assessment and management. The new Reference Range Values for Pediatric Care brings all the most vital range data - plus diverse clinical evaluation and calculation tools - all together in one concise, compact handbook. Indispensable pediatric reference ranges - right at your fingertips Custom-designed for today’s busy practitioners, this quick-access resource provides commonly used

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38

Barokova, Alexandra. Eservices Business Value Assessment and Its Methods and Metrics Used among the Companies. GRIN Verlag GmbH, 2016.

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39

Measuring Urban Design: Metrics for Livable Places. Island Press, 2013.

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40

Measuring Urban Design: Metrics for Livable Places. Island Press, 2013.

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41

Measuring Urban Design: Metrics for Livable Places. Island Press, 2013.

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42

Frijters, Paul, and Christian Krekel. A Handbook for Wellbeing Policy-Making. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192896803.001.0001.

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Around the world, governments are starting to directly measure the subjective wellbeing of their citizens and to use it for policy evaluation and appraisal. What would happen if a country were to move from using GDP to using subjective wellbeing as the primary metric for measuring economic and societal progress? Would policy priorities change? Would we continue to care about economic growth? What role would different government institutions play in such a scenario? And, most importantly, how could this be implemented in daily practice, for example in policy evaluations and appraisals of govern

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43

Proposed Emendations of the Metrical Version of the Psalms Used in Scotland. Creative Media Partners, LLC, 2021.

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44

Rao, Prasada. Welfare Comparisons with Heterogeneous Prices, Consumption, and Preferences. Edited by Matthew D. Adler and Marc Fleurbaey. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199325818.013.25.

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The chapter provides an overview of the methods and techniques employed by economic statisticians in compiling measures of real expenditure for use in making temporal and spatial comparisons of economic welfare. The role of money-metric utility in making price and welfare comparisons is explored. Temporal measures of price change based on the Konus cost-of-living index and the associated measures of welfare change for individuals and groups of individuals are discussed. Links between the commonly used Laspeyres, Paasche, Fisher, and Tornqvist index numbers and the Konus index-based measures of

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45

D’Orsi, Carl. Breast Imaging Reporting and Data System (BI-RADS). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0005.

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This chapter, devoted to the Breast Imaging Reporting and Data System (BI-RADS), describes the standardized language applied to findings in mammography, breast ultrasound, and breast MRI. BI-RADS terms most frequently used are described, and most are illustrated by figures. In addition, the rules for a facility and radiologist audit are described, with definitions of true positive (TP), false positive (FP), true negative (TN), and false negative (FN) findings. Sensitivity (Se), specificity (Sp), positive predictive values 1, 2, and 3 (PPV1, 2, 3), and cancer detection rate are defined. An exam

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46

Wich, Serge A., and Lian Pin Koh. Data post processing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.003.0007.

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This chapter discusses how data that have been collected with drones can be used to derive orthomosaics and digital surface models through structure-from-motion software and how these can be processed further for land-cover classification or into vegetation metrics. Some examples of the various programs are provided as well. The chapter ends with a discussion on the approaches that have been used to automate counts of animals in drone images.

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47

Ioannidis, John P. A. Statistical Biases in Science Communication. Edited by Kathleen Hall Jamieson, Dan M. Kahan, and Dietram A. Scheufele. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.013.11.

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Misuse and misinterpretation of statistics result in statistical biases that affect the quality, clarity, relevance, and implications of communicated scientific information. Statistical tools are often suboptimally used in scientific papers, even in the best journals. The vast majority of published results are statistically significant, and even nonsignificant results are often spun as being important. Inferences based on P-values generate additional misconceptions. It is also common to focus on metrics that are more prone to exaggerated interpretation. Most of these problems are possible to s

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48

Sexton, Donald. Value above Cost: Driving Superior Financial Performance with CVA, the Most Important Metric You've Never Used. Pearson Education, Limited, 2021.

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49

Golan, Amos. New Applications Across Disciplines. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.003.0014.

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In this chapter I provide four detailed, cross-disciplinary case studies, developed for this book. The case studies are from the medical sciences, political science, and finance. In each case, I discuss the empirical background, the input information, the necessary analytics, the inferred solution, and a brief summary of its implications. Each problem highlights one basic issue and demonstrates the advantage and applicability of the info-metrics framework. In each one of the problems analyzed, the constraints are specified as stochastic. Thus, the inference tolerates possible misspecification

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50

Germana, Michael. “Modulate, Daddy, Modulate!”. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190682088.003.0005.

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Chapter 4 examines Ellison’s use of rhythm—specifically his incorporation of polyrhythms and his application of an advanced rhythmic concept called metric modulation—to express his beliefs about virtual temporalities and social change. The chapter illustrates how Ellison often places temporal constructs, including the static time of official history and the dynamic time of duration, into polyrhythmic relation in order to challenge an entrenched ideology of historical determinism. This process, and the critique that emerges from it, depend upon a related rhythmic concept, metric modulation, whi

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