Questions and Answers in Attitude Surveys


Book Description

This book pioneers a new state of the art for conducting research on the form, wording, and context of questions asked in attitude surveys.




The Forbid/allow Asymmetry


Book Description

Questionnaires are widely used in the social sciences and very often survey data form the basis for governmental and commercial planning or evaluation. Yet the quality of survey data is not attested to, since a large variety of factors in the language-use situation prove to influence the answers unintentionally. The forbid/allow asymmetry is a well-known example of this: when respondents are asked whether something should be forbidden, about 50% may answer 'yes, forbid' - whereas an equivalent question phrased with the verb 'to allow' could well cause up to 75% of the respondents to answer 'no, it should not be allowed'. Which question wording is preferable to measure respondents' true attitudes? Only when we know why the answers differ, can we decide on that. This book is the first to apply a systematic cognitive approach to describe the causes of the forbid/allow asymmetry. The question-answering process is unravelled by a variety of experiments and meta-analytic techniques. Analyses reveal that the difference in question wording does not prompt respondents to retrieve different attitudes. Instead, the asymmetry reflects that the question wording causes the response options to be used differently. Because of the qualifying dimensions in the question text, the meanings of 'yes' and 'no' change, as well as the cognitive distance between them. This study sheds a different light on processes of question-answering and text interpretation. Furthermore, practical advice on questionnaire design and on the interpretation of survey data is given on the basis of these new insights.




Constructing Questions for Interviews and Questionnaires


Book Description

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.




OECD Guidelines on Measuring Subjective Well-being


Book Description

These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data.




Question Evaluation Methods


Book Description

Insightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation Methods: Contributing to the Science of Data Quality sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences. Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions. Topics covered include: Behavior coding Cognitive interviewing Item response theory Latent class analysis Split-sample experiments Multitrait-multimethod experiments Field-based data methods A concluding discussion identifies common themes across the presented material and their relevance to the future of survey methods, data analysis, and the production of Federal statistics. Together, the methods presented in this book offer researchers various scientific approaches to evaluating survey quality to ensure that the responses to these questions result in reliable, high-quality data. Question Evaluation Methods is a valuable supplement for courses on questionnaire design, survey methods, and evaluation methods at the upper-undergraduate and graduate levels. it also serves as a reference for government statisticians, survey methodologists, and researchers and practitioners who carry out survey research in the areas of the social and health sciences.







Methods for Testing and Evaluating Survey Questionnaires


Book Description

The definitive resource for survey questionnaire testing and evaluation Over the past two decades, methods for the development, evaluation, and testing of survey questionnaires have undergone radical change. Research has now begun to identify the strengths and weaknesses of various testing and evaluation methods, as well as to estimate the methods’ reliability and validity. Expanding and adding to the research presented at the International Conference on Questionnaire Development, Evaluation and Testing Methods, this title presents the most up-to-date knowledge in this burgeoning field. The only book dedicated to the evaluation and testing of survey questionnaires, this practical reference work brings together the expertise of over fifty leading, international researchers from a broad range of fields. The volume is divided into seven sections: Cognitive interviews Mode of administration Supplements to conventional pretests Special populations Experiments Multi-method applications Statistical modeling Comprehensive and carefully edited, this groundbreaking text offers researchers a solid foundation in the latest developments in testing and evaluating survey questionnaires, as well as a thorough introduction to emerging techniques and technologies.




Advances in Comparative Survey Methods


Book Description

Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.




Experimental Methods in Survey Research


Book Description

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains. Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book: Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.




Mail and Internet Surveys


Book Description

A crucial resource for increasing response rates and obtaining high-quality feedback from mail, electronic, and other surveys Don Dillman's Mail and Internet Surveys, Second Edition has been the definitive guide for creating and conducting successful surveys using both traditional and new media channels. Now, this special 2007 Update of the classic text features major additions covering the latest developments in online survey design and administration. Like its predecessor, this resource lays out a complete, start-to-finish guide for determining the needs of a given survey, designing it, and effectively administering it. Drawing on social science, statistics, and proven best practices, Dillman's text discusses surveys for a variety of purposes, audiences, and situations. New and updated material covers both the principles behind and directions for how to: Conduct Web surveys Visually design questionnaires Use paper mailed surveys As insightful and practical as its classic original, Mail and Internet Surveys, Second Edition, 2007 Update is a crucial resource for any researcher seeking to increase response rates and obtain high-quality feedback from mail, electronic, and other self-administered surveys.