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Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know(R) will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.
Measuring Academic Research outlines how to undertake a bibliometric study, a topic of vital importance in academic research today. Scientometrics studies assess scientific productivity and can be applied to all disciplines. Many analyses have been applied in relation to bibliometric studies, but few have shown how to actually carry out the analysis. This book provides a guide on how to develop a bibliometric study, from the first step in which the topic study has to be set, to the analysis and interpretation.
The Sustainable Development Goals are an ongoing focus around the world as the needs of people and society continue to evolve at a rapid pace. The need for a more sustainable future has never been more pressing as issues such as climate change, natural disasters, and overpopulation present unique difficulties for the decision makers of the world. In order for them to make the best decisions regarding current priorities and strategies, up-to-date and detailed research regarding where we currently are as a society, where we want to be, and the many challenges that stand in the way is crucial. The Research Anthology on Measuring and Achieving Sustainable Development Goals is a comprehensive assessment of the current innovative research and discussions on the challenges to achieving the UN’s Sustainable Development Goals and the measures that have already been put in place to achieve them. Covering topics such as green consumer behavior and peace promotion, this book is vital for academicians, scientists, researchers, students, postdoctoral students, specialists, practitioners, businesses, governmental institutions, decision makers, environmentalists, and policymakers.
In 1998, health expenditures in the United States accounted for 12.9% of national income-the highest share of income devoted to health in the developed world. The United States also spends more on medical research than any other country-in 2000, the federal government dedicated $18.4 billion to it, compared with only $3.7 billion for the entire European Union. In this book, leading health economists ask whether we are getting our money's worth. From an economic perspective, they find, the answer is a resounding "yes": in fact, considering the extraordinary value of improvements to health, we may even be spending too little on medical research. The evidence these papers present and the conclusions they reach are both surprising and convincing: that growth in longevity since 1950 has been as valuable as growth in all other forms of consumption combined; that medical advances producing 10% reductions in mortality from cancer and heart disease alone would add roughly $10 trillion-a year's GDP-to the national wealth; or that the average new drug approved by the FDA yields benefits worth many times its cost of development. The papers in this book are packed with these and many other surprising revelations, their sophisticated analysis persuasively demonstrating the massive economic benefits we can gain from investments in medical research. For anyone concerned about the cost and the value of such research-from policy makers to health care professionals and economists-this will be a landmark book.
Measuring Academic Research outlines how to undertake a bibliometric study, a topic of vital importance in academic research today. Scientometrics studies assess scientific productivity and can be applied to all disciplines. Many analyses have been applied in relation to bibliometric studies, but few have shown how to actually carry out the analysis. This book provides a guide on how to develop a bibliometric study, from the first step in which the topic study has to be set, to the analysis and interpretation. - A practical and easy to read guide on how to carry out a bibliometric study - Gives a wide and up-to-date view about the most common scientometric indexes - Analyses are illustrated with multiple and practical examples about their application
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This encyclopedia is the first major reference guide for students new to the field, covering traditional areas while pointing the way to future developments.
Social scientists seek to develop systematic ways to understand how people make meaning and how the meanings they make shape them and the world in which they live. But how do we measure such processes? Measuring Culture is an essential point of entry for both those new to the field and those who are deeply immersed in the measurement of meaning. Written collectively by a team of leading qualitative and quantitative sociologists of culture, the book considers three common subjects of measurement—people, objects, and relationships—and then discusses how to pivot effectively between subjects and methods. Measuring Culture takes the reader on a tour of the state of the art in measuring meaning, from discussions of neuroscience to computational social science. It provides both the definitive introduction to the sociological literature on culture as well as a critical set of case studies for methods courses across the social sciences.
This book is a handbook for people who want to assure the use of reliable and valid questionnaires for collecting information about organizations. It significantly reduces the time and effort required for obtaining validated multi-question measures of aspects of organizational ‘health’ such as employee job satisfaction, organizational commitment, organizational justice, and workplace behaviors. It helps users in measuring some factors underlying employee perceptions of work such as job characteristics, role ambiguity or conflict, job stress, and the extent to which employees believe their values and those of the organization are congruent. All the measures in the book have been used and tested in research studies published in the 1990’s. In addition, all the measures describe the extent and types of reliability and validity tests that have been completed, a feature that organizational researchers should find particularly useful. All in all, this book is a handy tool to increase the efficiency of researchers, consultants, managers, or organizational development specialists in obtaining reliable and valid information about how employees view their jobs and organizations.
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 - Includes a completely new chapter introducing 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