Advertisement
| biased 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. |
| biased 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. |
| biased 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. |
| biased 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. |
| biased 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. |
| biased 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. |
| biased 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. |
| biased survey questions examples: Basic Elements of Survey Research in Education Ulemu Luhanga, Allen G. Harbaugh, 2021-09-01 In this first book of the series Survey Methods in Educational Research, we have brought together leading authors and scholars in the field to discuss key introductory concepts in the creation, implementation, evaluation and dissemination of survey instruments and their resultant findings. While there are other textbooks that might introduce these concepts adequately well, the authors here have focused on the pragmatic issues that inevitably arise in the development and administration process of survey instruments. Drawing from their rich experiences, the authors present these potential speed bumps or road blocks a survey researcher in education or the social sciences might encounter. Referencing their own work and practice, the authors provide valuable suggestions for dealing with these issues “your advisor never told you about.” And all of the recommendations are aligned with standard protocols and current research on best practices in the field of research methodology. This book is broken into four broad units on creating survey items and instruments, administering surveys, analyzing the data from surveys, and stories of successful administrations modeling the entire research cycle. Each chapter focuses on a different concept in the survey research process, and the authors share their approaches to addressing the issues. These topics include survey item construction, scale development, cognitive interviewing, measuring change with self-report data, translation issues with surveys administered in multiple languages, working with school and program administrators when implementing surveys, a review of current software used in survey research, the use of weights, response styles, assessing validity of results, and effectively communicating your results and findings … and much more. The intended audience of the volume will be practitioners, administrators, teachers as researchers, graduate students, social science and education researchers not experienced in survey research, and students learning program evaluation. In brief, if you are considering doing survey research, this book is meant for you. |
| biased 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. |
| biased 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 |
| biased 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 |
| biased 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. |
| biased 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. |
| biased survey questions examples: Reference Manual on Scientific Evidence , 1994 |
| biased 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. |
| biased survey questions examples: Constructing Questions for Interviews and Questionnaires William Foddy, William H. Foddy, 1993 The success of any interview or questionnaire depends upon good question design, yet most of the available literature has been devoted to interview techniques, rather than question formulation. This practical book provides a coherent, theoretical basis for the construction of valid and reliable questions for interviews and questionnaires. The theoretical framework used in the book provides a set of principles that, when followed, will increase the validity and reliability of verbal data collected for social research. Dr Foddy outlines the problems which can arise when framing questions with clarity and commonsense. He has written a wide ranging, useful book for survey practitioners working in the social sciences. |
| biased 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. |
| biased survey questions examples: Research Methods William M. K. Trochim, 2005 From an expert in the research methods field, Research Methods: The Concise Knowledge Base was written specifically for undergraduates. Trochim streamlined and clarified explanations of fundamental, yet difficult, concepts in his familiar, engaging style. With this text, students will learn about the relationship between theory and practice, which will help them become better researchers and better consumers of research. From an expert in the research methods field, Research Methods: The Concise Knowledge Base was written specifically for undergraduates. Trochim streamlined and clarified explanations of fundamental, yet difficult, concepts in his familiar, engaging style. With this text, students will learn about the relationship between theory and practice, which will help them become better researchers and better consumers of research. |
| biased survey questions examples: Field Trials of Health Interventions Peter G. Smith, Richard H. Morrow, David A. Ross, 2015 This is an open access title available under the terms of a CC BY-NC 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Before new interventions are released into disease control programmes, it is essential that they are carefully evaluated in field trials'. These may be complex and expensive undertakings, requiring the follow-up of hundreds, or thousands, of individuals, often for long periods. Descriptions of the detailed procedures and methods used in the trials that have been conducted have rarely been published. A consequence of this, individuals planning such trials have few guidelines available and little access to knowledge accumulated previously, other than their own. In this manual, practical issues in trial design and conduct are discussed fully and in sufficient detail, that Field Trials of Health Interventions may be used as a toolbox' by field investigators. It has been compiled by an international group of over 30 authors with direct experience in the design, conduct, and analysis of field trials in low and middle income countries and is based on their accumulated knowledge and experience. Available as an open access book via Oxford Medicine Online, this new edition is a comprehensive revision, incorporating the new developments that have taken place in recent years with respect to trials, including seven new chapters on subjects ranging from trial governance, and preliminary studies to pilot testing. |
| biased survey questions examples: Statistics: Concepts and Controversies David S. Moore, William I. Notz, William Notz, 2006 In the sixth edition of his landmark text, David Moore emphasizes the concepts and applications of statistics from a wide range of fields - encouraging students to see the meaning behind statistical results. Moore's emphasis on ideas and data with minimal computation is acknowledged as the most effective way to teach non-mathematical students. |
| biased 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. |
| biased survey questions examples: Encyclopedia of Social Measurement Kimberly Kempf-Leonard, 2005 The Encyclopedia of Social Measurement captures the data, techniques, theories, designs, applications, histories, and implications of assigning numerical values to social phenomena. Responding to growing demands for transdisciplinary descriptions of quantitative and qualitative techniques, measurement, sampling, and statistical methods, it will increase the proficiency of everyone who gathers and analyzes data. Covering all core social science disciplines, the 300+ articles of the Encyclopedia of Social Measurement not only present a comprehensive summary of observational frameworks and mathematical models, but also offer tools, background information, qualitative methods, and guidelines for structuring the research process. Articles include examples and applications of research strategies and techniques, highlighting multidisciplinary options for observing social phenomena. The alphabetical arrangement of the articles, their glossaries and cross-references, and the volumes' detailed index will encourage exploration across the social sciences. Descriptions of important data sets and case studies will help readers understand resources they can often instantly access. Also available online via ScienceDirect - featuring extensive browsing, searching, and internal cross-referencing between articles in the work, plus dynamic linking to journal articles and abstract databases, making navigation flexible and easy. For more information, pricing options and availability visit www.info.sciencedirect.com. Introduces readers to the advantages and potential of specific techniques and suggests additional sources that readers can then consult to learn more Conveys a range of basic to complex research issues in sufficient detail to explain even the most complicated statistical technique. Readers are provided with references for further information Eleven substantive sections delineate social sciences and the research processes they follow to measure and provide new knowledge on a wide range of topics Authors are prominent scholars and methodologists from all social science fields Within each of the sections important components of quantitative and qualitative research methods are dissected and illustrated with examples from diverse fields of study Actual research experiences provide useful examples |
| biased survey questions examples: Blackwell's Five-Minute Veterinary Practice Management Consult Lowell Ackerman, 2013-10-28 Blackwell’s Five-Minute Veterinary Practice Management Consult, Second Edition has been extensively updated and expanded, with 55 new topics covering subjects such as online technologies, hospice care, mobile practices, compassion fatigue, practice profitability, and more. Carefully formatted using the popular Five-Minute Veterinary Consult style, the book offers fast access to authoritative information on all aspects of practice management. This Second Edition is an essential tool for running a practice, increasing revenue, and managing staff in today’s veterinary practice. Addressing topics ranging from client communication and management to legal issues, financial management, and human resources, the book is an invaluable resource for business management advice applicable to veterinary practice. Sample forms and further resources are now available on a companion website. Veterinarians and practice managers alike will find this book a comprehensive yet user-friendly guide for success in today’s challenging business environment. |
| biased survey questions examples: Designing Quality Survey Questions , |
| biased survey questions examples: Understanding Your Users Kathy Baxter, Catherine Courage, Kelly Caine, 2015-05-20 This new and completely updated edition is a comprehensive, easy-to-read, how-to guide on user research methods. You'll learn about many distinct user research methods and also pre- and post-method considerations such as recruiting, facilitating activities or moderating, negotiating with product developments teams/customers, and getting your results incorporated into the product. For each method, you'll understand how to prepare for and conduct the activity, as well as analyze and present the data - all in a practical and hands-on way. Each method presented provides different information about the users and their requirements (e.g., functional requirements, information architecture). The techniques can be used together to form a complete picture of the users' needs or they can be used separately throughout the product development lifecycle to address specific product questions. These techniques have helped product teams understand the value of user experience research by providing insight into how users behave and what they need to be successful. You will find brand new case studies from leaders in industry and academia that demonstrate each method in action. This book has something to offer whether you are new to user experience or a seasoned UX professional. After reading this book, you'll be able to choose the right user research method for your research question and conduct a user research study. Then, you will be able to apply your findings to your own products. - Completely new and revised edition includes 30+% new content! - Discover the foundation you need to prepare for any user research activity and ensure that the results are incorporated into your products - Includes all new case studies for each method from leaders in industry and academia |
| biased survey questions examples: Teaching Statistics Andrew Gelman, Deborah Nolan, 2002-08-08 Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, 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, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling. |
| biased survey questions examples: Survey Techniques for Homeowners Associations and Property Managers Joseph J. Leon, Wayne C. Brown, Libby O. Ruch, Deborah N. Brown, 1997 |
| biased survey questions examples: Encyclopedia of Quality of Life and Well-Being Research Alex C. Michalos, 2014-02-12 The aim of this encyclopedia is to provide a comprehensive reference work on scientific and other scholarly research on the quality of life, including health-related quality of life research or also called patient-reported outcomes research. Since the 1960s two overlapping but fairly distinct research communities and traditions have developed concerning ideas about the quality of life, individually and collectively, one with a fairly narrow focus on health-related issues and one with a quite broad focus. In many ways, the central issues of these fields have roots extending to the observations and speculations of ancient philosophers, creating a continuous exploration by diverse explorers in diverse historic and cultural circumstances over several centuries of the qualities of human existence. What we have not had so far is a single, multidimensional reference work connecting the most salient and important contributions to the relevant fields. Entries are organized alphabetically and cover basic concepts, relatively well established facts, lawlike and causal relations, theories, methods, standardized tests, biographic entries on significant figures, organizational profiles, indicators and indexes of qualities of individuals and of communities of diverse sizes, including rural areas, towns, cities, counties, provinces, states, regions, countries and groups of countries. |
| biased survey questions examples: Measurement Errors in Surveys Paul P. Biemer, Robert M. Groves, Lars E. Lyberg, Nancy A. Mathiowetz, Seymour Sudman, 2011-09-20 WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. This book will be an aid to survey statisticians and to research workers who must work with survey data. –Short Book Reviews, International Statistical Institute Measurement Errors in Surveys documents the current state of the field, reports new research findings, and promotes interdisciplinary exchanges in modeling, assessing, and reducing measurement errors in surveys. Providing a fundamental approach to measurement errors, the book features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, and the effects of measurement errors on estimation and data analysis. |
| biased 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. |
| biased survey questions examples: Quantitative Methods for the Social Sciences Daniel Stockemer, 2018-11-19 This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences. |
| biased survey questions examples: Informatics and Nursing Kristi Sanborn Miller, 2024-10-08 Informatics and Nursing: Opportunities and Challenges, 7th Edition, helps you keep pace with a rapidly changing field while cultivating your students' communication and information literacy skillset in informatics now, identified as a core competency by the AACN for all nursing levels. Updates throughout this streamlined edition encourage patient-centered care and reflect the latest advances in artificial intelligence, telehealth, and home monitoring accompanied by powerful learning tools that help you hone clinical judgment and ready students for practice. |
| biased survey questions examples: Psychology Richard A. Griggs, 2008-02-15 The updated 2nd edition of this brief introduction to Psychology, is more accessible and ideal for short courses. This is a brief, accessible introductory psychology textbook. The updated 2nd edition of this clear and brief introduction to Psychology is written by the award-winning lecturer and author Richard Griggs. The text is written in an engaging style and presents a selection of carefully chosen core concepts in psychology, providing solid topical coverage without drowning the student in a sea of details. |
| biased 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. |
| biased survey questions examples: Research Methods and Statistics for Public and Nonprofit Administrators Masami Nishishiba, Matthew Jones, Mariah Kraner, 2013-09-17 Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide is a comprehensive, easy-to-read, core text that thoroughly prepares readers to apply research methods and data analysis to the professional environments of public and non-profit administration. The authors expertly incorporate original case examples to demonstrate concepts using “real actors,” facing specific scenarios, in which research methods must be applied. This unique approach—presented in language accessible to both students new to research as well as current practitioners—guides the reader in fully understanding the research options detailed throughout the text. |
| biased survey questions examples: Public Health Reports , 1987 |
| biased survey questions examples: Health Services Reports , 1987 |
| biased survey questions examples: Essential Skills - Math, Grade 6 Teacher Created Resources, Inc, 2008-12 2 CD-ROMs: Bonus parent materials! English & Spanish--Cover. |
| biased survey questions examples: Healthcare Entrepreneurship and Management Arnab Chanda, Shubham Gupta, 2024-06-28 Post pandemic, the world is not the same place. There has been an increasing focus on healthcare and well-being, which has created a once-in-a-lifetime opportunity for healthcare innovations and startups. From adoption of a range of medical apps and telemedicine technologies to heightened public interest in smart wearables and medical devices, the demand for efficient healthcare delivery has been skyrocketing. This book aims to serve as a first-of-its-kind guide for skill development in conception to commercialisation of healthcare products and services. It covers the gamut from the study of healthcare challenges, such as understanding customer requirements, market needs, and competition, to the various steps of the healthcare product development process, such as defining value propositions and specifications, the creation of minimum viable product (MVP) to prototyping, and manufacturing. The authors also discuss key commercialisation and management strategies, including the development of a robust business plan, fund raising, intellectual property, creating barriers to entry, and launching healthcare startups. Medical product pricing, positioning, sales and distribution, and customer acquisition are also presented with real-life examples. This book serves as a key reference not only for biomedical engineers who are looking to launch their products or services in the market but also for budding entrepreneurs willing to explore opportunities in the healthcare domain. For example, engineers and managers working on the development of medical devices require knowledge of ethical guidelines, regulations, and approvals to effectively launch their products in the medtech industry. On the other hand, entrepreneurs looking to benefit from the booming healthcare industry will find this book helpful in understanding the fundamentals of medical product development and commercialisation to launch their ideas successfully. |
| biased survey questions examples: Sample Surveys: Design, Methods and Applications , 2009-08-31 This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 29A deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 29B is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects. - Comprehensive account of recent developments in sample survey theory and practice - Discusses a wide variety of diverse applications - Comprehensive bibliography |
BIASED Definition & Meaning - Merriam-Webster
Jun 14, 2012 · The adjective that means “exhibited or characterized by an unreasoned judgment” is biased (“a biased news story”). There is an adjective bias, but it means “diagonal” and is …
BIASED | English meaning - Cambridge Dictionary
BIASED definition: 1. showing an unreasonable like or dislike for someone or something based on personal opinions: 2…. Learn more.
Biased - Definition, Meaning & Synonyms - Vocabulary.com
Being biased is kind of lopsided too: a biased person favors one side or issue over another. While biased can just mean having a preference for one thing over another, it also is synonymous …
Biased - definition of biased by The Free Dictionary
biased - favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant"
BIASED Definition & Meaning | Dictionary.com
having or showing bias or prejudice. They gave us a biased report on immigration trends. Examples have not been reviewed. “I have a great deal of respect for federal employees, …
BIASED definition and meaning | Collins English Dictionary
If someone is biased, they prefer one group of people to another, and behave unfairly as a result. You can also say that a process or system is biased.
biased adjective - Definition, pictures, pronunciation and usage …
tending to show favour towards or against one group of people or one opinion for personal reasons; making unfair judgements. Their research was based on a biased sample (= a group …
What does biased mean? - Definitions.net
Biased refers to an unfair inclination or prejudice towards or against a person, group, idea, or thing, often based on personal opinions, feelings, or beliefs rather than facts or objective …
Bias vs. Biased — What’s the Difference?
Apr 3, 2024 · Bias is a tendency or preference that influences judgment, while biased describes someone or something exhibiting or influenced by bias. Bias refers to a predilection or …
What Does Bias Mean?: AP® Psychology Review - Albert
May 12, 2025 · These concepts paint a clearer picture of what drives biased perceptions, prejudiced actions, and the mental discomfort that arises when actions conflict with core …
BIASED Definition & Meaning - Merriam-Webster
Jun 14, 2012 · The adjective that means “exhibited or characterized by an unreasoned judgment” is biased (“a biased news story”). There is an adjective bias, but it means “diagonal” and is …
BIASED | English meaning - Cambridge Dictionary
BIASED definition: 1. showing an unreasonable like or dislike for someone or something based on personal opinions: 2…. Learn more.
Biased - Definition, Meaning & Synonyms - Vocabulary.com
Being biased is kind of lopsided too: a biased person favors one side or issue over another. While biased can just mean having a preference for one thing over another, it also is synonymous …
Biased - definition of biased by The Free Dictionary
biased - favoring one person or side over another; "a biased account of the trial"; "a decision that was partial to the defendant"
BIASED Definition & Meaning | Dictionary.com
having or showing bias or prejudice. They gave us a biased report on immigration trends. Examples have not been reviewed. “I have a great deal of respect for federal employees, …
BIASED definition and meaning | Collins English Dictionary
If someone is biased, they prefer one group of people to another, and behave unfairly as a result. You can also say that a process or system is biased.
biased adjective - Definition, pictures, pronunciation and usage …
tending to show favour towards or against one group of people or one opinion for personal reasons; making unfair judgements. Their research was based on a biased sample (= a group …
What does biased mean? - Definitions.net
Biased refers to an unfair inclination or prejudice towards or against a person, group, idea, or thing, often based on personal opinions, feelings, or beliefs rather than facts or objective …
Bias vs. Biased — What’s the Difference?
Apr 3, 2024 · Bias is a tendency or preference that influences judgment, while biased describes someone or something exhibiting or influenced by bias. Bias refers to a predilection or …
What Does Bias Mean?: AP® Psychology Review - Albert
May 12, 2025 · These concepts paint a clearer picture of what drives biased perceptions, prejudiced actions, and the mental discomfort that arises when actions conflict with core …
