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This book pioneers a new state of the art for conducting research on the form, wording, and context of questions asked in attitude surveys.
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.
These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data.
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.
With a historical sweep that recent events have made definitive, the authors examine the influence of Soviet ideology on the presentation of social reality in films produced in the Soviet Union between the October Revolution and the final days of glasnost. Within the framework of an introduction that lays out the conceptual terminology used to describe that shifting ideological landscape, the authors analyze both the social groups appearing in the films and the relations of film directors and other film makers to state censorship and ideological control.
Handbook of Survey Research provides an introduction to the theory and practice of sample survey research. It addresses both the student who desires to master these topics and the practicing survey researcher who needs a source that codifies, rationalizes, and presents existing theory and practice. The handbook can be organized into three major parts. Part 1 sets forth the basic theoretical issues involved in sampling, measurement, and management of survey organizations. Part 2 deals mainly with ""hands-on,"" how-to-do-it issues: how to draw theoretically acceptable samples, how to write questionnaires, how to combine responses into appropriate scales and indices, how to avoid response effects and measurement errors, how actually to go about gathering survey data, how to avoid missing data (and what to do when you cannot), and other topics of a similar nature. Part 3 considers the analysis of survey data, with separate chapters for each of the three major multivariate analysis modes and one chapter on the uses of surveys in monitoring overtime trends. This handbook will be valuable both to advanced students and to practicing survey researchers seeking a detailed guide to the major issues in the design and analysis of sample surveys and to current state of the art practices in sample surveys.
A new and updated definitive resource for survey questionnaire testing and evaluation Building on the success of the first Questionnaire Development, Evaluation, and Testing (QDET) conference in 2002, this book brings together leading papers from the Second International Conference on Questionnaire Design, Development, Evaluation, and Testing (QDET2) held in 2016. The volume assesses the current state of the art and science of QDET; examines the importance of methodological attention to the questionnaire in the present world of information collection; and ponders how the QDET field can anticipate new trends and directions as information needs and data collection methods continue to evolve. Featuring contributions from international experts in survey methodology, Advances in Questionnaire Design, Development, Evaluation and Testing includes latest insights on question characteristics, usability testing, web probing, and other pretesting approaches, as well as: Recent developments in the design and evaluation of digital and self-administered surveys Strategies for comparing and combining questionnaire evaluation methods Approaches for cross-cultural and cross-national questionnaire development New data sources and methodological innovations during the last 15 years Case studies and practical applications Advances in Questionnaire Design, Development, Evaluation and Testing serves as a forum to prepare researchers to meet the next generation of challenges, making it an excellent resource for researchers and practitioners in government, academia, and the private sector.
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.