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Written and painstakingly edited by leading experts, this volume offers a state-of-the-art overview of and solid foundation in up-to-date survey questionnaire issues, concerns, and responses. Like several other books in the Wiley Series in Survey Methodology, this work has been prepared in conjunction with an international conference on the topic (in November 2002) by the Survey Research Methods Section of the American Statistical Association, the American Association for Public Opinion Research, the International Association of Survey Statisticians, the Council of American Survey Research Organizations, and the Council of Marketing and Opinion Research. The book covers cognitive interviewing, interaction analysis, response latency, respondent debriefings, vignette analysis, split-sample comparisons, statistical modeling, mode of administration, and special populations. It also considers these topics in light of emerging techniques and technologies. The book's authors include more than two-dozen eminent professionals in a variety of fields related to survey methodology and questionnaire development, including names such as Gordon Willis of the National Cancer Insitute; Paul Beatty of the National Center for Health Statistics; Paul Biemerof the Research Triangle Institute; Don Dillman of the University of Washington; and Natacha Borgers, Edith de Leuuw, and Astrid Smits of Statistics Netherlands. Copious tables, figures, and references, as well as an extensive glossary, supplement the high quality discussion throughout the text.
Mathematical statistics --- Social surveys --- Questionnaires --- Social sciences --- Enquêtes sociales --- Sciences sociales --- Methodology --- Research --- Méthodologie --- Recherche --- -Questionnaires --- -Social sciences --- -#SBIB:051.AANKOOP --- #SBIB:303H30 --- #SBIB:303H32 --- -300.723 --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Community surveys --- Surveys, Social --- Surveys --- -Methodology --- Kwalitatieve methoden: algemeen --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Methodology. --- Enquêtes sociales --- Méthodologie --- 300.723 --- #SBIB:051.AANKOOP --- Research&delete& --- Social surveys - Methodology --- Questionnaires - Methodology --- Social sciences - Research - Methodology
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Qualitative methods in social research --- Social sciences --- Social surveys --- Sciences sociales --- Enquêtes sociales --- Research --- Recherche --- #SBIB:AANKOOP --- #SBIB:303H32 --- #SBIB:303H14 --- -Social surveys --- Community surveys --- Surveys, Social --- Surveys --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Methoden en technieken van de communicatiewetenschap --- Social surveys. --- Methoden en technieken --- Research. --- evaluatieonderzoek --- evaluatieonderzoek. --- Enquêtes sociales --- Kwalitatieve sociologische onderzoeksmethoden --- Social science research --- Social sciences - Research
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519.2 --- Questionnaires --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Questionnaires. --- Social surveys. --- Social surveys --- 303.62 --- 519.25 --- Community surveys --- Surveys, Social --- Social sciences --- Surveys --- 519.25 Statistical data handling --- Statistical data handling --- 303.62 Enqueteren. Interviews. Ondervragen --(sociaal onderzoek) --- Enqueteren. Interviews. Ondervragen --(sociaal onderzoek) --- Research --- Qualitative methods in social research --- Mathematical statistics --- Enquêtes sociales
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Methods in social research (general) --- sociometrie --- sociologie
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In this readable guide to the principles of writing survey questions, the authors review recent research on survey questions, consider the lore of professional experience and finally present those findings which have the strongest implications on writing survey questions.
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Income is simultaneously one of the most important variables used by economists and the variable most likely to be missing due to item non-response. While observations that are missing income responses are often dropped from analyses, such treatment is usually inappropriate. More appropriate solutions rely on imputation based on either covariates (e.g., age and education) measured in the survey or on spatial estimates (most often for zip codes) from the American Community Survey. We describe a new spatially-based alternative using publicly available Internal Revenue Service tax data that allows estimates of zip code's income distribution.
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