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| bias survey questions examples: Subprime Attention Crisis Tim Hwang, 2020-10-13 From FSGO x Logic: a revealing examination of digital advertising and the internet's precarious foundation In Subprime Attention Crisis, Tim Hwang investigates the way big tech financializes attention. In the process, he shows us how digital advertising—the beating heart of the internet—is at risk of collapsing, and that its potential demise bears an uncanny resemblance to the housing crisis of 2008. From the unreliability of advertising numbers and the unregulated automation of advertising bidding wars, to the simple fact that online ads mostly fail to work, Hwang demonstrates that while consumers’ attention has never been more prized, the true value of that attention itself—much like subprime mortgages—is wildly misrepresented. And if online advertising goes belly-up, the internet—and its free services—will suddenly be accessible only to those who can afford it. Deeply researched, convincing, and alarming, Subprime Attention Crisis will change the way you look at the internet, and its precarious future. FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today. |
| bias survey questions examples: Encyclopedia of Survey Research Methods Paul J. Lavrakas, 2008-09-12 To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other how-to guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information. |
| bias survey questions examples: Behind the Message Kathleen A. Hansen, Nora Paul, 2004 Behind the Message is a thoroughly revised and updated text based on the highly regarded Search Strategies in Mass Communication, used in many communication programs for 15 years. Written by two nationally recognized experts in information strategy, the book leads students step-by-step through the search and evaluation process while retaining the conceptual and intellectual overview that was the hallmark of Search Strategies. It includes new materials and case studies that illustrate the search and evaluation process as it applies to news and strategic communications messages. Features A conceptual model of the information strategy process is visually illustrated in each chapter, helping students to systematically learn the information strategy process. Case studies of the information strategy process illustrate how each information contributor's materials are used in messages. A case study is included in the appendix that allows students to see concrete examples of the search process as applied to news and strategic communications messages. Cartoons in several chapters offer students a lighthearted look at some of the key concepts discussed in the text. |
| bias survey questions examples: Perspectives on Bias in Mental Testing Cecil Reynolds, 2013-11-11 The cultural-test-bias hypothesis is one of the most important scien tific questions facing psychology today. Briefly, the cultural-test-bias hypothesis contends that all observed group differences in mental test scores are due to a built-in cultural bias of the tests themselves; that is, group score differences are an artifact of current psychomet ric methodology. If the cultural-test-bias hypothesis is ultimately shown to be correct, then the 100 years or so of psychological research on human differences (or differential psychology, the sci entific discipline underlying all applied areas of human psychology including clinical, counseling, school, and industrial psychology) must be reexamined and perhaps dismissed as confounded, contam inated, or otherwise artifactual. In order to continue its existence as a scientific discipline, psychology must confront the cultural-test-bias hypothesis from the solid foundations of data and theory and must not allow the resolution of this issue to occur solely within (and to be determined by) the political Zeitgeist of the times or any singular work, no matter how comprehensive. In his recent volume Bias in Mental Testing (New York: Free Press, 1980), Arthur Jensen provided a thorough review of most of the empirical research relevant to the evaluation of cultural bias in psychological and educational tests that was available at the time that his book was prepared. Nevertheless, Jensen presented only one per spective on those issues in a volume intended not only for the sci entific community but for intelligent laypeople as well. |
| bias survey questions examples: Survey Methodology Robert M. Groves, Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, Roger Tourangeau, 2011-09-20 Praise for the First Edition: The book makes a valuable contribution by synthesizing current research and identifying areas for future investigation for each aspect of the survey process. —Journal of the American Statistical Association Overall, the high quality of the text material is matched by the quality of writing . . . —Public Opinion Quarterly . . . it should find an audience everywhere surveys are being conducted. —Technometrics This new edition of Survey Methodology continues to provide a state-of-the-science presentation of essential survey methodology topics and techniques. The volume's six world-renowned authors have updated this Second Edition to present newly emerging approaches to survey research and provide more comprehensive coverage of the major considerations in designing and conducting a sample survey. Key topics in survey methodology are clearly explained in the book's chapters, with coverage including sampling frame evaluation, sample design, development of questionnaires, evaluation of questions, alternative modes of data collection, interviewing, nonresponse, post-collection processing of survey data, and practices for maintaining scientific integrity. Acknowledging the growing advances in research and technology, the Second Edition features: Updated explanations of sampling frame issues for mobile telephone and web surveys New scientific insight on the relationship between nonresponse rates and nonresponse errors Restructured discussion of ethical issues in survey research, emphasizing the growing research results on privacy, informed consent, and confidentiality issues The latest research findings on effective questionnaire development techniques The addition of 50% more exercises at the end of each chapter, illustrating basic principles of survey design An expanded FAQ chapter that addresses the concerns that accompany newly established methods Providing valuable and informative perspectives on the most modern methods in the field, Survey Methodology, Second Edition is an ideal book for survey research courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing survey methodologists and any professional who employs survey research methods. |
| bias survey questions examples: OECD Guidelines on Measuring Subjective Well-being OECD, 2013-03-20 These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data. |
| bias survey questions examples: Doing Surveys Online Vera Toepoel, 2015-11-02 Vera Toepoel’s practical, how-to guide to doing surveys online takes you through the entire process of using surveys, from systematically recruiting respondents, to designing the internet survey, to processing the survey data and writing it up. This book helps students and researchers in identifying possible strategies to make the best use of online surveys, providing pro’s and con’s, and do’s and don’ts for each strategy. It also explores the latest opportunities and developments that have arisen in the field of online surveys, including using social networks, and provides expert guidance and examples of best practice throughout. Suitable for those starting a research project or conducting a survey in a professional capacity, this book is the ideal go-to reference for anyone using internet surveys, be it a beginner or a more experienced survey researcher. |
| bias survey questions examples: An Introduction to Survey Research, Polling, and Data Analysis Herbert Weisberg, Jon A. Krosnick, Bruce D. Bowen, 1996-07-16 The nature of survey research - The survey process - Sampling procedures - Questionnaire construction - The data collection stage - Coding practices - Designing survey - The process of data analysis - Single-variable statistics - Statistical inference for means - Two-variable tables - Measures of association - Control tables - Correlation and regression - Writing survey reports - Evaluating surveys - The ethics of polls. |
| bias survey questions examples: Designing Quality Survey Questions Sheila B. Robinson, Kimberly Firth Leonard, 2018-05-24 Surveys are a cornerstone of social and behavioral research, and with the use of web-based tools, surveys have become an easy and inexpensive means of gathering data. But how researchers ask a question can dramatically influence the answers they receive. Sheila B. Robinson and Kimberly Firth Leonard’s Designing Quality Survey Questions shows readers how to craft high quality, precisely-worded survey questions that will elicit rich, nuanced, and ultimately useful data to help answer their research or evaluation questions. The authors address challenges such as crafting demographic questions, designing questions that keep respondents engaged and avoid survey fatigue, web-based survey formats, culturally-responsive survey design, and factors that influence survey responses. Additionally, “Stories from the Field” features provide real world experiences from practitioners who share lessons learned about survey design, and end-of-chapter exercises and discussion questions allow readers to apply the information they’ve learned. |
| bias survey questions examples: Designing Quality Survey Questions , |
| bias survey questions examples: The Cultural Authority of Science Martin Bauer, Petra Pansegrau, Rajesh Shukla, 2018-09-24 The cultural authority of science is the authority that is granted to science in any particular context. This authority is as much a matter of image and perceived legitimacy as of statutory guarantee. However, while authority can be charismatic, based on tradition or based on competence, we would assume that science aims to be an authority of competence. To what extent does science have the last word, or stand above opinion on public issues? This Indo-European led collaboration aims to map the cultural authority of science, and to construct a system of indicators to observe this ‘science culture’ based on artefacts (science news analysis) and espoused beliefs and evaluations (public attitude data). Indeed, through a series of studies the authors examine the cultural authority of science in light of the challenges posed by European, Asian, African and American developments and debates. In particular, two main ideas are examined: the ‘Lighthouse’ model, whereby science is shining into a stormy sea of ignorance and mistrust; and the ‘Bungee Jump’ model, which demonstrates how science occasionally experiences a rough ride against a backdrop of goodwill. Presenting expertise in discourse analysis, computer-assisted text analysis and largescale survey analysis, The Cultural Authority of Science will be of interest to a global audience concerned with the standing of science in society. In particular, it may appeal to scholars and students of fields such as sociology of science, science communication, science studies, scientometrics, innovation studies and social psychology. |
| bias survey questions examples: Survey Research for Public Administration David H. Folz, 1996-04-24 This basic introduction to survey research for public administration is organised around the fundamental stages of the research process - planning, design, implementation, analysis and presentation |
| bias survey questions examples: Survey Techniques for Homeowners Associations and Property Managers Joseph J. Leon, Wayne C. Brown, Libby O. Ruch, Deborah N. Brown, 1997 |
| bias survey questions examples: Survey Research Joseph J. Leon, 2003 This book is written in a user-friendly style for persons in business, government and non-profit organizations who want to write and/or execute a survey using either the in-person, mail, telephone or web methods or who want a good grounding in survey research methods without all the jargon. A short introduction to survey research is provided in Chapter 1. Chapter 2 focuses on ethics using examples from national and international professional associations. Chapter 3 describes how to propose a survey within an organization and provides examples. Chapter 4 focuses on probability sampling methods used in survey research. Chapters 5 to 8 show how to develop and field a survey using the mail, in-person, telephone and the web and provides example question formats, overall questionnaire design and cover letters for each method. Chapters 9 and 10 show one how to do data entry and data analysis (frequencies, crosstabulations and multiple regression). The next to the last chapter shows how to present your results using charts, and the final chapter provides a sample research report. Advanced sources are recommended for those who want to specialize in survey research or subfields of sampling and/or data analysis. |
| bias survey questions examples: The Forbid/allow Asymmetry Bregje Holleman, 2000 Questionnaires are widely used in the social sciences and very often survey data form the basis for governmental and commercial planning or evaluation. Yet the quality of survey data is not attested to, since a large variety of factors in the language-use situation prove to influence the answers unintentionally. The forbid/allow asymmetry is a well-known example of this: when respondents are asked whether something should be forbidden, about 50% may answer 'yes, forbid' - whereas an equivalent question phrased with the verb 'to allow' could well cause up to 75% of the respondents to answer 'no, it should not be allowed'. Which question wording is preferable to measure respondents' true attitudes? Only when we know why the answers differ, can we decide on that. This book is the first to apply a systematic cognitive approach to describe the causes of the forbid/allow asymmetry. The question-answering process is unravelled by a variety of experiments and meta-analytic techniques. Analyses reveal that the difference in question wording does not prompt respondents to retrieve different attitudes. Instead, the asymmetry reflects that the question wording causes the response options to be used differently. Because of the qualifying dimensions in the question text, the meanings of 'yes' and 'no' change, as well as the cognitive distance between them. This study sheds a different light on processes of question-answering and text interpretation. Furthermore, practical advice on questionnaire design and on the interpretation of survey data is given on the basis of these new insights. |
| bias survey questions examples: How to Conduct Surveys Arlene Fink, 2009 Written in the same clear and accessible style as Arlene Fink s other works, this fully revised text reflects changes in the way people prepare surveys, use them with the public, and report the results, with increased emphasis on online surveys. |
| bias survey questions examples: Social Science Research Anol Bhattacherjee, 2012-04-01 This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages. |
| bias survey questions examples: Logically Fallacious Bo Bennett, 2012-02-19 This book is a crash course in effective reasoning, meant to catapult you into a world where you start to see things how they really are, not how you think they are. The focus of this book is on logical fallacies, which loosely defined, are simply errors in reasoning. With the reading of each page, you can make significant improvements in the way you reason and make decisions. Logically Fallacious is one of the most comprehensive collections of logical fallacies with all original examples and easy to understand descriptions, perfect for educators, debaters, or anyone who wants to improve his or her reasoning skills. Expose an irrational belief, keep a person rational for a day. Expose irrational thinking, keep a person rational for a lifetime. - Bo Bennett This 2021 Edition includes dozens of more logical fallacies with many updated examples. |
| bias survey questions examples: Quantifying the User Experience Jeff Sauro, James R Lewis, 2016-07-12 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 |
| bias survey questions examples: The Practice of Statistics Dan Yates, David S. Moore, Daren S. Starnes, 2003 Combining the strength of the data analysis approach and the power of technology, the new edition features powerful and helpful new media supplements, enhanced teacher support materials, and full integration of the TI-83 and TI-89 graphing calculators. |
| bias survey questions examples: Collecting, Managing, and Assessing Data Using Sample Surveys Peter Stopher, 2012-01-19 Collecting, Managing, and Assessing Data Using Sample Surveys provides a thorough, step-by-step guide to the design and implementation of surveys. Beginning with a primer on basic statistics, the first half of the book takes readers on a comprehensive tour through the basics of survey design. Topics covered include the ethics of surveys, the design of survey procedures, the design of the survey instrument, how to write questions and how to draw representative samples. Having shown readers how to design surveys, the second half of the book discusses a number of issues surrounding their implementation, including repetitive surveys, the economics of surveys, web-based surveys, coding and data entry, data expansion and weighting, the issue of non-response, and the documenting and archiving of survey data. The book is an excellent introduction to the use of surveys for graduate students as well as a useful reference work for scholars and professionals. |
| bias survey questions examples: Handbook of EHealth Evaluation Francis Yin Yee Lau, Craig Kuziemsky, 2016-11 To order please visit https://onlineacademiccommunity.uvic.ca/press/books/ordering/ |
| bias survey questions examples: Asking Questions Norman M. Bradburn, Seymour Sudman, Brian Wansink, 2004-05-17 Since it was first published more than twenty-five years ago, Asking Questions has become a classic guide for designing questionnaires3⁄4the most widely used method for collecting information about people?s attitudes and behavior. An essential tool for market researchers advertisers, pollsters, and social scientists, this thoroughly updated and definitive work combines time-proven techniques with the most current research, findings, and methods. The book presents a cognitive approach to questionnaire design and includes timely information on the Internet and electronic resources. Comprehensive and concise, Asking Questions can be used to design questionnaires for any subject area, whether administered by telephone, online, mail, in groups, or face-to-face. The book describes the design process from start to finish and is filled with illustrative examples from actual surveys. |
| bias survey questions examples: Survey Measurement of Drug Use , 1992 |
| bias survey questions examples: Women and Love Shere Hite, 1989 |
| bias survey questions examples: Teaching Research Methods in Public Administration Schwester, Richard W., 2015-02-28 While there are many ways to collect information, many students have trouble understanding how to employ various research methods effectively. Since everyone learns and processes information differently, instructing students on successfully using these methods continues to be a challenge. Teaching Research Methods in Public Administration combines empirical research and best practices on various research methods being employed by administrators. Emphasizing theoretical concepts, this publication is an essential reference source for academics, public administration practitioners, and students interested in how information is gathered, processed, and utilized. |
| bias survey questions examples: Productivity in Public and Non Profit Organizations Evan M. Berman, 1998-03-10 Provides a wide range of tools and strategies to promote employee motivation, cost-effective service delivery, effective partnering, harmonious workplace relations and the use of information technology. |
| bias survey questions examples: The Oxford Handbook of Polling and Survey Methods Lonna Rae Atkeson, R. Michael Alvarez, 2018-07-25 The methodologies used to study public opinion are now in flux. The primary polling method of the last half-century, the telephone survey, is rapidly becoming obsolete as a data collection method. At the same time, new methods of contacting potential respondents and obtaining their response are appearing, providing a variety of options for scholars and practitioners. Generally speaking, we are moving from a polling world that was largely interviewer driven over the phone and face-to-face to predominantly interviewer driven self-administered poll environments, New methods of data collection, however, must still deal with fundamental questions to polling methodology and total survey error including sampling, selection bias, non-response error, poststratification weighting, and questionnaire design features. The Oxford Handbook on Polling and Survey Methods brings together a unique mixture of academics and practitioners, from various backgrounds, academic disciplines, and experiences. In some sense, this is reflective of the interdisciplinary nature of the polling and survey industry: polls and surveys are widely used in academia, government, and the private sector. Designing, implementing, and analyzing high quality, accurate, and cost-effective polls and surveys requires a combination of skills and methodological perspectives. Despite the well-publicized issues that have cropped up in recent political polling, a great deal is known today about how to collect high quality polling and survey data even in complex and difficult environments. Divided into four main sections, the Handbook draws on the existing research and explores data collection methods. It then addresses data analysis and the methods available for combining polling data with other types of data. The next section covers analytic issues, including the new approaches to studying public opinion (ie social media, the analysis of open-ended questions using text analytic tools, and data imputation). The final section focuses on the presentation of polling results, an area where there is a great deal of innovation. A comprehensive overview of the topic, this volume highlights current polling trends provides ideas for the development of new and better approaches for measuring, modeling, and visualizing public opinion and social behavior. |
| bias survey questions examples: Investigating the Social World with SPSS Student Version 14.0 Russell Schutt, 2006-03-06 Accompanying CD-ROM contains ... wide-ranging data sets [SPSS Student Version 14.0], a demo for Hyper RESEARCH qualitative data analysis software, and interactive exercises to help students master concepts and techniques.--Page 4 of cover. |
| bias survey questions examples: Encyclopedia of Survey Research Methods Paul J. Lavrakas, 2008-09-12 In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other how-to guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. |
| bias survey questions examples: Teaching Statistics Andrew Gelman, Deborah Nolan, 2017-08-03 Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'-- with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science. |
| bias survey questions examples: Reference Manual on Scientific Evidence , 1994 |
| bias survey questions examples: Principles and Applications of Biostatistics Ray M. Merrill, 2021-09-03 Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences–from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples (provided in R and Microsoft Excel) and problems drawn from biological health and medical settings. Key Features: • Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. • Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. • Rationale boxes offer explanations of why certain methods are used for specific cases. |
| bias survey questions examples: Current Issues in Clinical Lactation 2002 Kathleen G. Auerbach, 2002 The eight articles in this issue review current research on alcohol ingestion during lactation, the feeding patterns of pre-term infants after discharge, attitudes among hispanic women about extended breastfeeding, how to identify bias in research findings, a hospital form for noting lactation risk factors, and the importance of support groups. Annotation copyrighted by Book News Inc., Portland, OR. |
| bias survey questions examples: Doing Research in Emergency and Acute Care Michael P. Wilson, Kama Z. Guluma, Stephen R. Hayden, 2015-09-22 A practical guide to understanding and navigating the unique challenges faced by physicians and other professionals who wish to undertake research in the ED or other acute care setting. Focusing on the hyper-acute and acute care environment and fulfilling two closely-related needs: 1) the need for even seasoned researchers to understand the specific logistics and issues of doing research in the ED; and 2) the need to educate clinically active physicians in research methodology. This new text is not designed to be a complex, encyclopedic resource, but instead a concise, easy-to-read resource designed to convey key “need-to-know” information within a comprehensive framework. Aimed at the busy brain, either as a sit-down read or as a selectively-read reference guide to fill in knowledge gaps, chapters are short, compartmentalized, and are used strategically throughout the text in order to introduce and frame concepts. This format makes it easy - and even entertaining - for the research novice to integrate and absorb completely new (and typically dry) material. The textbook addresses aspects of feasibility, efficiency, ethics, statistics, safety, logistics, and collaboration in acute research. Overall, it grants access for the seasoned researcher seeking to learn about acute research to empathically integrate learning points into his or her knowledge base. As the ED is the primary setting for hyper-acute and acute care, and therefore a prime site for related clinical trial recruitment and interventions, the book presents specific logistical research challenges that researchers from any discipline, including physicians, research nurse coordinators, study monitors, or industry partners, need to understand in order to succeed. |
| bias survey questions examples: Textbook of Adult Emergency Medicine E-Book Peter Cameron, George Jelinek, Anne-Maree Kelly, Lindsay Murray, Anthony F. T. Brown, 2011-11-18 A major postgraduate textbook in emergency medicine, covering all the major topics that present to the trainee doctor in the emergency department. A comprehensive textbook of adult emergency medicine for trainee doctors - covers all the problems likely to present to a trainee in the emergency department. Chapters are short and concise, with key point boxes (called Essentials) at the beginning. Also has boxes featuring controversial areas of treatment. Practical and clinically orientated. Major changes to resuscitation guidelines. Complete rewriting of ENT section. Significant updating of following topics - acute coronary syndrome management, trauma, sepsis management, imaging, arrhythmias. Expansion of administration section - especially patient safety. Changes to drug overdose sections in toxicology section. |
| bias survey questions examples: Survey Questions Jean M. Converse, Stanley Presser, 1986-09 This text reviews the literature on crafting survey instruments, and provides both general principles governing question-writing and guidance on how to develop a questionnaire. |
| bias survey questions examples: Research Methods for Everyday Life Scott W. VanderStoep, Deidre D. Johnson, 2008-12-22 This book offers an innovative introduction to social research. The book explores all stages of the research process and it features both quantitative and qualitative methods. Research design topics include sampling techniques, choosing a research design, and determining research question that inform public opinion and direct future studies. Throughout the book, the authors provide vivid and engaging examples that reinforce the reading and understanding of social science research. Your Turn boxes contain activities that allow students to practice research skills, such as sampling, naturalistic observation, survey collection, coding, analysis, and report writing. |
| bias survey questions examples: The Real Work of Data Science Ron S. Kenett, Thomas C. Redman, 2019-05-06 The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now the world's most valuable resource. But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is the most valuable resource. These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it. —Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data. —Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers. —A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University |
| bias survey questions examples: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
机器学习中的 Bias（偏差）、Error（误差）、Variance（方 …
首先明确一点，Bias和Variance是针对Generalization（一般化，泛化）来说的。. 在机器学习中，我们用训练数据集去训 …
神经网络中的偏置（bias）究竟有什么用？ - 知乎
神经网络中的偏置（bias）究竟有什么用？ 最近写了一下模式识别的作业，简单的用python实现了一个三层神经网络，发现 …
偏差——bias与deviation的联系/区别？ - 知乎
各位同学，你们有没有想过‘偏见’在英语中是怎么说的？没错，答案就是'bias'！而且，我们这次还结合了一款超酷的桌面背单词软 …
英文中prejudice和bias的区别? - 知乎
Bias：Bias is a tendency to prefer one person or thing to another, and to favour that person or thing. 可见 bias …
sci投稿Declaration of interest怎么写? - 知乎
正在写SCI的小伙伴看到这篇回答有福了！作为一个在硕士阶段发表了4篇SCI（一区×2，二区×2）的人，本回答就好好给你唠唠究竟该 …
机器学习中的 Bias（偏差）、Error（误差）、Variance（方差）有 …
首先明确一点，Bias和Variance是针对Generalization（一般化，泛化）来说的。. 在机器学习中，我们用训练数据集去训练（学习）一个model（模型），通常的做法是定义一个Loss …
神经网络中的偏置（bias）究竟有什么用？ - 知乎
神经网络中的偏置（bias）究竟有什么用？ 最近写了一下模式识别的作业，简单的用python实现了一个三层神经网络，发现不加偏置的话，网络的训练精度一直不能够提升，加了偏执之后反而 …
偏差——bias与deviation的联系/区别？ - 知乎
各位同学，你们有没有想过‘偏见’在英语中是怎么说的？没错，答案就是'bias'！而且，我们这次还结合了一款超酷的桌面背单词软件，让你在学习单词的同时，也能感受到科技的魅
英文中prejudice和bias的区别? - 知乎
Bias：Bias is a tendency to prefer one person or thing to another, and to favour that person or thing. 可见 bias 所表示的意思是“偏爱”，其本质是一种喜好，而非厌恶，所以没有偏见的意思。
sci投稿Declaration of interest怎么写? - 知乎
正在写SCI的小伙伴看到这篇回答有福了！作为一个在硕士阶段发表了4篇SCI（一区×2，二区×2）的人，本回答就好好给你唠唠究竟该如何撰写Declaration of interest利益声明部分。
确认偏误是什么？如何系统地克服确认偏误？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
Linear classifier 里的 bias 有什么用？ - 知乎
Oct 27, 2015 · 你想象一下一维的情况，如果有两个点 -1 是负类， -2 是正类。如果没有bias，你的分类边界只能是过远点的一条垂直线，没法区分出这两个类别，bias给你提供了在特征空间上 …
选择性偏差（selection bias）指的是什么？ - 知乎
选择性偏差指的是在研究过程中因样本选择的非随机性而导致得到的结论存在偏差，包括自选择偏差（self-selection bias）和样本选择偏差（sample-selection bias）。消除选择性偏差，我们 …
哪里有标准的机器学习术语(翻译)对照表？ - 知乎
预测偏差 (prediction bias) 一种值，用于表明预测平均值与数据集中标签的平均值相差有多大。 预训练模型 (pre-trained model) 已经过训练的模型或模型组件（例如嵌套）。有时，您需要将预 …
如何理解Adam算法(Adaptive Moment Estimation)？ - 知乎
完整的Adam更新算法也包含了一个偏置（bias）矫正机制，因为m,v两个矩阵初始为0，在没有完全热身之前存在偏差，需要采取一些补偿措施。 不同最优化方法效果
