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Measurement Errors in Surveys

   
지은이 Seymour Sudman   |   출판사 WILEY  |   발행일 2013년 08월 12일   |   언어 : English
 
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발행일 2013-08-12 | 중량: 0.98 kg | 사이즈: 15.5*22.8*3.7 cm
ISBN 0471692808 | 9780471692805
기타정보 원서 | 760쪽 | $ 162 | Paperback
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    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.

    Preface.

    Introduction (W. Kruskal).

    1. Measurement Error Across Disciplines (R. Groves).

    SECTION A: THE QUESTIONAIRE.

    2. The Current Status of Questionnaire Design (N. Bradburn & S. Sudman).

    3. Response Alternatives: The Impact of Their Choice and Presentation Order (N. Schwarz & H. Hippler).

    4. Context Effects in the General Social Survey (T. Smith).

    5. Mode Effects of Cognitively Designed Recall Questions: A Comparison of Answers to Telephone and Mail Surveys (D. Dillman & J. Tarnai).

    6. Nonexperimental Research on Question Wording Effects: A Contribution to Solving the Generalizability Problem (N. Molenaar).

    7. Measurement Errors in Business Surveys (S. Dutka & L. Frankel).

    SECTION B: RESPONDENTS AND RESPONSES.

    8. Recall Error: Sources and Bias Reduction Techniques (D. Eisenhower, et al.).

    9. Measurement Effects in Self vs. Proxy Response to Survey Questions: An Information-Processing Perspective (J. Blair, et al.).

    10. An Alternative Approach to Obtaining Personal History Data (B. Means, et al.).

    11. The Item Count Technique as a Method of Indirect Questioning: A Review of Its Development and a Case Study Application (J. Droitcour, et al.).

    12. Toward a Response Model in Establishment Surveys (W. Edwards & D. Cantor).

    SECTION C: INTERVIEWERS AND OTHER MEANS OF DATA COLLECTION.

    13. Data Collection Methods and Measurement Error: An Overview (L. Lyberg & D. Kasprzyk).

    14. Reducing Inte5rviewer-Related Error Through Interviewer Training, Supervision, and Other Means (F. Fowler).

    15. The Design and Analysis of Reinterview: An Overview (G. Forsman & I. Schreiner).

    16. Expenditure Diary Surveys and Their Associated Errors (A. Silberstein & S. Scott).

    17. A Review of Errors of Direct Observation in Crop Yield Surveys (R. Fecso).

    18. Measurement Error in Continuing Surveys of the Grocery Retail Trade Using Electronic Data Collection Methods (J. Donmyer, et al.).

    SECTION D: MEASUREMENT ERRORS IN THE INTERVIEW PROCESS.

    19. Conversation with a Purpose—or Conversation? Interaction in the Standardized Interview (N. Schaeffer).

    20. Cognitive Laboratory Methods: A Taxonomy (B. Forsyth & J. Lessler).

    21. Studying Respondent-Interviewer Interaction: The Relationship Between Interviewing Style, Interviewer Behavior, and Response Behavior (J. van der Zouwen, et al.).

    22. The Effect of Interviewer and Respondent Characteristics on the Quality of Survey Data: A Multilevel Model (J. Hox, et al.).

    23. Interviewer, Respondent, and Regional Office Effects on Response Variance: A Statistical Decomposition (D. Hill).

    SECTION E: MODELING MEASUREMENT ERRORS AND THEIR EFFECTS ON ESTIMATION AND DATA ANALYSIS.

    24. Approaches to the Modeling of Measurement Errors (P. Biemer & L. Stokes).

    25. A Mixed Model for Analyzing Measurement Errors for Dichotomous Variables (J. Pannekoek).

    26. Models for Memory Effects in Count Data (P. van Dosselaar).

    27. Simple Response Variance: Estimation and Determinants (C. O'Muircheartaigh).

    28. Evaluation of Measurement Instruments Using a Structural Modeling Approach (W. Saris & F. Andrews).

    29. A Path Analysis of Cross-National Data Taking Measurement Errors Into Account (I. Munck).

    30. Regression Estimation in the Presence of Measurement Error (W. Fuller).

    31. Chi-Squared Tests with Complex Survey Data Subject to Misclassification Error (J. Rao & D. Thomas).

    32. The Effect of Measurement Error on Event History Analysis (D. Holt, et al.).

    References.

    Index.

    PAUL P. BIEMER, PhD, is Chief Scientist at the Research Triangle Institute in North Carolina.
    ROBERT M. GROVES, PhD, is Program Director (Senior Research Scientist) in the Survey Research Center of the University of Michigan, where he also serves as Director in the Institute for Social Research and Professor of Sociology.
    LARS E. LYBERG, PhD, is Chief Scientist at Statistics Sweden in Stockholm.
    NANCY A. MATHIOWETZ, PhD, is Special Assistant Director for Statistical Design, Methodology, and Standards at the U.S. Bureau of the Census.
    SEYMOUR SUDMAN, PhD, is the Walter A. Stellner Professor of Marketing and Deputy Director of the Survey Research Laboratory at the University of Illinois, Urbana-Champaign.
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