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Question evaluation methods : contributing to the science of data quality / edited by Jennifer Madans [and others].

Contributor(s): Material type: TextTextSeries: Wiley series in survey methodologyPublication details: Hoboken, N.J. : Wiley, ©2011.Description: 1 online resource (xii, 364 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118036983
  • 1118036980
  • 1283257734
  • 9781283257732
Subject(s): Genre/Form: Additional physical formats: Print version:: Question evaluation methods.DDC classification:
  • 301.072/3 22
LOC classification:
  • HM537 .Q45 2011
Online resources:
Contents:
Introduction / Jennifer Madans, Kristen Miller, Aaron Maitland, and Gordon Willis -- Behavior coding. Coding the behavior of interviewers and respondents to evaluate survey questions / Floyd J. Fowler -- Response 1 to Fowler's chapter: Coding the behavior of interviewers and respondents to evaluate survey questions / Nora Cate Schaeffer and Jennifer Dykema -- Response 2 to Fowler's chapter: Coding the behavior of interviewers and respondents to evaluate survey questions / Alisú Schoua-Glusberg -- Cognitive interviewing. Cognitive interviewing / Kristen Miller -- Response 1 to Miller's chapter: Cognitive interviewing / Gordon Willis -- Response 2 to Miller's chapter: Cognitive interviewing / Frederick G. Conrad -- Item response theory. Applying item response theory for questionnaire evaluation / Bryce B. Reeve -- Response 1 to Reeve's chapter: Applying item response theory for questionnaire evaluation / Ron D. Hays -- Response 2 to Reeve's chapter: Applying item response theory for questionnaire evaluation / Clyde Tucker [and others] -- Latent class analysis. Some issues in the application of latent class models for questionnaire design / Paul P. Biemer and Marcus Berzofsky -- Response 1 to Biemer and Berzofsky's chapter: Some issues in the application of latent class models for questionnaire design / Frauke Kreuter -- Response 2 to Biemer and Berzofsky's chapter: Some issues in the application of latent class models for questionnaire design / Janet A. Harkness and Timothy P. Johnson -- Split-sample experiments. Experiments for evaluating survey questions / Jon A. Krosnick -- Response 1 to Krosnick's chapter: Experiments for evaluating survey questions / Johnny Blair -- Response 2 to Krosnick's chapter: Experiments for evaluating survey questions / Theresa DeMaio and Stephanie Willson -- Multitrait-multimethod experiments. Evaluating the reliability and validity of survey interview data using the MTMM approach / Duane F. Alwin -- Response to Alwin's chapter: Evaluating the reliability and validity of survey interview data using the MTMM approach / Peter Ph. Mohler -- Field-based data methods. Using field tests to evaluate federal statistical survey questionnaires / Brian A. Harris-Kojetin and James M. Dahlhamer.
Summary: 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 ev.
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Includes bibliographical references and index.

Introduction / Jennifer Madans, Kristen Miller, Aaron Maitland, and Gordon Willis -- Behavior coding. Coding the behavior of interviewers and respondents to evaluate survey questions / Floyd J. Fowler -- Response 1 to Fowler's chapter: Coding the behavior of interviewers and respondents to evaluate survey questions / Nora Cate Schaeffer and Jennifer Dykema -- Response 2 to Fowler's chapter: Coding the behavior of interviewers and respondents to evaluate survey questions / Alisú Schoua-Glusberg -- Cognitive interviewing. Cognitive interviewing / Kristen Miller -- Response 1 to Miller's chapter: Cognitive interviewing / Gordon Willis -- Response 2 to Miller's chapter: Cognitive interviewing / Frederick G. Conrad -- Item response theory. Applying item response theory for questionnaire evaluation / Bryce B. Reeve -- Response 1 to Reeve's chapter: Applying item response theory for questionnaire evaluation / Ron D. Hays -- Response 2 to Reeve's chapter: Applying item response theory for questionnaire evaluation / Clyde Tucker [and others] -- Latent class analysis. Some issues in the application of latent class models for questionnaire design / Paul P. Biemer and Marcus Berzofsky -- Response 1 to Biemer and Berzofsky's chapter: Some issues in the application of latent class models for questionnaire design / Frauke Kreuter -- Response 2 to Biemer and Berzofsky's chapter: Some issues in the application of latent class models for questionnaire design / Janet A. Harkness and Timothy P. Johnson -- Split-sample experiments. Experiments for evaluating survey questions / Jon A. Krosnick -- Response 1 to Krosnick's chapter: Experiments for evaluating survey questions / Johnny Blair -- Response 2 to Krosnick's chapter: Experiments for evaluating survey questions / Theresa DeMaio and Stephanie Willson -- Multitrait-multimethod experiments. Evaluating the reliability and validity of survey interview data using the MTMM approach / Duane F. Alwin -- Response to Alwin's chapter: Evaluating the reliability and validity of survey interview data using the MTMM approach / Peter Ph. Mohler -- Field-based data methods. Using field tests to evaluate federal statistical survey questionnaires / Brian A. Harris-Kojetin and James M. Dahlhamer.

Print version record.

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 ev.