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| examples biased survey questions: 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. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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. |
| examples biased survey questions: Nonresponse in Household Interview Surveys Robert M. Groves, Mick P. Couper, 2012-08-29 A comprehensive framework for both reduction of nonresponse andpostsurvey adjustment for nonresponse This book provides guidance and support for survey statisticianswho need to develop models for postsurvey adjustment fornonresponse, and for survey designers and practitioners attemptingto reduce unit nonresponse in household interview surveys. Itpresents the results of an eight-year research program that hasassembled an unprecedented data set on respondents andnonrespondents from several major household surveys in the UnitedStates. Within a comprehensive conceptual framework of influences onnonresponse, the authors investigate every aspect of surveycooperation, from the influences of household characteristics andsocial and environmental factors to the interaction betweeninterviewers and householders and the design of the surveyitself. Nonresponse in Household Interview Surveys: * Provides a theoretical framework for understanding and studyinghousehold survey nonresponse * Empirically explores the individual and combined influences ofseveral factors on nonresponse * Presents chapter introductions, summaries, and discussions onpractical implications to clarify concepts and theories * Supplies extensive references for further study and inquiry Nonresponse in Household Interview Surveys is an important resourcefor professionals and students in survey methodology/researchmethods as well as those who use survey methods or data inbusiness, government, and academia. It addresses issues critical todealing with nonresponse in surveys, reducing nonresponse duringsurvey data collection, and constructing statistical compensationsfor the effects of nonresponse on key survey estimates. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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 |
| examples biased survey questions: Statistics For Dummies Deborah J. Rumsey, 2016-06-07 The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance. |
| examples biased survey questions: 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. |
| examples biased survey questions: Biased Sampling, Over-identified Parameter Problems and Beyond Jing Qin, 2017-06-14 This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Economics. The book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, exponential tilting genetic mixture models etc. The goal of this book is to make it easier for Ph. D students and new researchers to get started in this research area. It will be of interest to all those who work in the health, biological, social and physical sciences, as well as those who are interested in survey methodology and other areas of statistical science, among others. |
| examples biased survey questions: Handbook of EHealth Evaluation Francis Yin Yee Lau, Craig Kuziemsky, 2016-11 To order please visit https://onlineacademiccommunity.uvic.ca/press/books/ordering/ |
| examples biased survey questions: Measuring Regulatory Performance A Practitioner's Guide to Perception Surveys OECD, 2012-01-16 This guide helps officials use perception surveys for evaluating and communicating progress in regulatory reform. It explains the challenges involved in the design and use of business and citizen perception surveys – and ways to overcome them. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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 |
| examples biased survey questions: Reference Manual on Scientific Evidence , 1994 |
| examples biased survey questions: Survey Measurement of Drug Use , 1992 |
| examples biased survey questions: Proactive Policing National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on Law and Justice, Committee on Proactive Policing: Effects on Crime, Communities, and Civil Liberties, 2018-03-23 Proactive policing, as a strategic approach used by police agencies to prevent crime, is a relatively new phenomenon in the United States. It developed from a crisis in confidence in policing that began to emerge in the 1960s because of social unrest, rising crime rates, and growing skepticism regarding the effectiveness of standard approaches to policing. In response, beginning in the 1980s and 1990s, innovative police practices and policies that took a more proactive approach began to develop. This report uses the term proactive policing to refer to all policing strategies that have as one of their goals the prevention or reduction of crime and disorder and that are not reactive in terms of focusing primarily on uncovering ongoing crime or on investigating or responding to crimes once they have occurred. Proactive policing is distinguished from the everyday decisions of police officers to be proactive in specific situations and instead refers to a strategic decision by police agencies to use proactive police responses in a programmatic way to reduce crime. Today, proactive policing strategies are used widely in the United States. They are not isolated programs used by a select group of agencies but rather a set of ideas that have spread across the landscape of policing. Proactive Policing reviews the evidence and discusses the data and methodological gaps on: (1) the effects of different forms of proactive policing on crime; (2) whether they are applied in a discriminatory manner; (3) whether they are being used in a legal fashion; and (4) community reaction. This report offers a comprehensive evaluation of proactive policing that includes not only its crime prevention impacts but also its broader implications for justice and U.S. communities. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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 |
| examples biased survey questions: Noise Daniel Kahneman, Olivier Sibony, Cass R. Sunstein, 2021-05-18 From the Nobel Prize-winning author of Thinking, Fast and Slow and the coauthor of Nudge, a revolutionary exploration of why people make bad judgments and how to make better ones—a tour de force” (New York Times). Imagine that two doctors in the same city give different diagnoses to identical patients—or that two judges in the same courthouse give markedly different sentences to people who have committed the same crime. Suppose that different interviewers at the same firm make different decisions about indistinguishable job applicants—or that when a company is handling customer complaints, the resolution depends on who happens to answer the phone. Now imagine that the same doctor, the same judge, the same interviewer, or the same customer service agent makes different decisions depending on whether it is morning or afternoon, or Monday rather than Wednesday. These are examples of noise: variability in judgments that should be identical. In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show the detrimental effects of noise in many fields, including medicine, law, economic forecasting, forensic science, bail, child protection, strategy, performance reviews, and personnel selection. Wherever there is judgment, there is noise. Yet, most of the time, individuals and organizations alike are unaware of it. They neglect noise. With a few simple remedies, people can reduce both noise and bias, and so make far better decisions. Packed with original ideas, and offering the same kinds of research-based insights that made Thinking, Fast and Slow and Nudge groundbreaking New York Times bestsellers, Noise explains how and why humans are so susceptible to noise in judgment—and what we can do about it. |
| examples biased survey questions: Introductory Business Statistics 2e Alexander Holmes, Barbara Illowsky, Susan Dean, 2023-12-13 Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License. |
| examples biased survey questions: Algorithms of Oppression Safiya Umoja Noble, 2018-02-20 Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author |
| examples biased survey questions: Monitoring Vertebrate Populations William L. Thompson, Gary C. White, Charles Gowan, 1998-08-17 This book is written to serve as a general reference for biologists and resource managers with relatively little statistical training. It focuses on both basic concepts and practical applications to provide professionals with the tools needed to assess monitoring methods that can detect trends in populations. It combines classical finite population sampling designs with population enumeration procedures in a unified approach for obtaining abundance estimates for species of interest. The statistical information is presented in practical, easy-to-understand terminology. - Presented in practical, easy-to-understand terminology - Serves as a general reference for biologists and resource managers - Provides the tools needed to detect trends in populations - Introduces a unified approach for obtaining abundance estimates |
| examples biased survey questions: Case-Control Studies Ruth H. Keogh, D. R. Cox, 2014-03-06 The case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung cancer. More recently, case-control studies have been increasingly used in other fields, including sociology and econometrics. With a particular focus on statistical analysis, this book is ideal for applied and theoretical statisticians wanting an up-to-date introduction to the field. It covers the fundamentals of case-control study design and analysis as well as more recent developments, including two-stage studies, case-only studies and methods for case-control sampling in time. The latter have important applications in large prospective cohorts which require case-control sampling designs to make efficient use of resources. More theoretical background is provided in an appendix for those new to the field. |
| examples biased survey questions: 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. |
| examples biased survey questions: 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. |
| examples biased survey questions: Business Model Innovation Allan Afuah, 2018-10-03 Rooted in strategic management research, Business Model Innovation explores the concepts, tools, and techniques that enable organizations to gain and/or maintain a competitive advantage in the face of technological innovation, globalization, and an increasingly knowledge-intensive economy. Updated with all-new cases, this second edition of the must-have for those looking to grasp the fundamentals of business model innovation, explores the novel ways in which an organization can generate, deliver, and monetize benefits to customers. |
| examples biased survey questions: Statistical Thinking Roger W. Hoerl, Ronald D. Snee, 2012-04-24 How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses. |
| examples biased survey questions: 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 |
| examples biased survey questions: 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. |
| examples biased survey questions: The Psychology of Survey Response Roger Tourangeau, Lance J. Rips, Kenneth Rasinski, 2000-03-13 This valuable book examines the complex psychological processes involved in answering different types of survey questions. Drawing on both classic and modern research from cognitive psychology, social psychology, and survey methodology, the authors examine how survey responses are formulated and they demonstrate how seemingly unimportant features of the survey can affect the answers obtained. The book provides a comprehensive review of the sources of response errors in surveys, and it offers a coherent theory of the relation between the underlying views of the public and the results of public opinion polls. Topics include the comprehension of survey questions, the recall of relevant facts and beliefs, estimation and inferential processes people use to answer survey questions, the sources of the apparent instability of public opinion, the difficulties in getting responses into the required format, and the distortions introduced into surveys by deliberate misreporting. |
| examples biased survey questions: Applying Quantitative Bias Analysis to Epidemiologic Data Timothy L. Lash, Matthew P. Fox, Aliza K. Fink, 2011-04-14 Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow. |
| examples biased survey questions: Core Psychiatry E-Book Padraig Wright, Julian Stern, Michael Phelan, 2012-01-08 A new edition of a highly successful, award winning textbook for trainee psychiatrists, covering in one volume all the subjects required for the new MRCPsych and similar exams. Written in a highly engaging manner, it will also prove invaluable to qualified psychiatrists who need to keep up-to-date with the latest developments, as well as clinical psychologists, general practitioners, psychiatric nurses and senior medical students Concise yet comprehensive, Core Psychiatry relfects the latest developments in the curriculum plus all that is new and essential in clinical practice and the sciences that underpin it. It includes new information on the new Mental Capacity Act and Mental Health Act as well as enhanced sections on psychopharmacology, old age psychiatry, child and adolescent psychiatry, forensic psychiatry and rehabilitation. The book also makes refernce to the latest NICE guidelines and includes new sections on sleep medicine and trauma psychiatry. New edition of a popular MRCPsych curriculum based text Previous edition ‘Highly Commended’ (Mental Health category) in the BMA Awards 2005 Contains useful summary boxes, lists and key points to make last minute learning easy Comprehensive and authoritative resource written by contributors to ensure complete accuracy and currency of specialist information Chapters prepared by specialists working in conjunction with trainees – content totally up-to-date and jointly written by authors who have recently been in the exam situation Contains the latest findings in sleep medicine and trauma psychiatry Expanded section on psychology – including social psychology – to reflect the latest MRCPych examination format Text updated in full to reflect the new Mental Capacity Act and Mental Health Act Relevant chapters now contain a ‘skills and competency’ section to reflect changes in MRCPsych curriculum Updating and amendments to improve coverage of old age psychiatry, child and adolescent psychiatry, forensic psychiatry and rehabilitation Contains reference to the latest NICE guidelines in boxes and tables Enhanced discussion of the use of the best current management options, both pharmacological and psychotherapeutic, the latter including CBT, DBT, EMDR and psychodynamic group, couple and family therapy. |
| examples biased survey questions: Measurement and Prediction Social Science Research Council (U.S.), Samuel A. Stouffer, Louis Guttman, Edward A. Suchman, Paul F. Lazarsfeld, John A. Clausen, 1966 |
| examples biased survey questions: Math in Society David Lippman, 2012-09-07 Math in Society is a survey of contemporary mathematical topics, appropriate for a college-level topics course for liberal arts major, or as a general quantitative reasoning course.This book is an open textbook; it can be read free online at http://www.opentextbookstore.com/mathinsociety/. Editable versions of the chapters are available as well. |
| examples biased survey questions: Benchmarking the User Experience Jeff Sauro, 2018-06-25 This is a practical book about how to measure the user experience of websites, software, mobile apps, products, or just anything people use. This book is for UX researchers, designers, product owners, or anyone that has a vested interest in improving experience of websites and products--Introduction. |
| examples biased survey questions: Introduction to Survey Sampling Graham Kalton, 1983-09 Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size. |
| examples biased survey questions: Research Methods and Survey Applications David Dunaetz, 2020 As a supplement to traditional textbooks on research methods in organizational psychology and other social sciences, this book provides a series of outlines, discussion questions, and activities for classroom use. Because much real-world research is done in organizational contexts, survey applications are emphasized. The book is written from a Christian point of view, enabling and encouraging students to integrate biblical concepts concerning ethics and purpose into their research practices. This third edition incorporates changes in APA formatting based on the Seventh Edition of the Publication Manual of the American Psychological Association. |
Examples - Apache ECharts
Apache ECharts，一款基于JavaScript的数据可视化图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Apache ECharts
ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. 如果您在科研项目、产品、学术论文、技术报告、新闻报告、教育、专利以及其他相关活动中使用了 …
Events - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; Committers; Mailing List; How to Contribute; Dependencies; Code …
Examples - Apache ECharts
Apache ECharts，一款基于JavaScript的数据可视化图表库，提供直观，生动，可交互，可个性化定制的数据可视化图表。
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; …
Examples - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; …
Apache ECharts
ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. 如果您在科研项目、产品、 …
Events - Apache ECharts
Examples; Resources. Spread Sheet Tool; Theme Builder; Cheat Sheet; More Resources; Community. Events; …
