Nonsampling Error in Social Surveys

Nonsampling Error in Social Surveys

McNabb, David E.

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This is the only contemporary and comprehensive treatment of six different classes of nonsampling error, and is unique in its focus on controlling errors by showing how to eliminate the opportunity for them to occur. It includes a chapter on the prevailing paradigm in dealing with survey error, total survey error, and a section on ethics in survey research in the first chapter. INDICE: PrefaceAbout the AuthorTable of ContentsPART I: CONCEPTS AND ISSUES IN NONSAMPLING ERROR RESEARCH1. Issues in Data Quality and Survey Ethics2. Nonsampling Error in Sample Surveys3. The Total Survey Error ParadigmPART II: MAJOR SOURCES OF NONSAMPLING ERROR IN SURVEYS4. Defining and Detecting Nonsampling Error in Sample Surveys5. Frame Error6. Measurement Error7. Response Error8. Nonresponse Error9. Interviewer ErrorPART III: ERROR CONTROL APPLICATIONS10. Tools for Identifying Nonsampling Error in Survey DataAPPENDICESAppendix A: GlossaryAppendix B: Standards and Guidelines for Statistical SurveysAppendix C: Deming’s 14-Points for QualityREFERENCES

  • ISBN: 978-1-4522-5742-6
  • Editorial: SAGE Publications, Inc
  • Encuadernacion: Rústica
  • Páginas: 272
  • Fecha Publicación: 17/09/2013
  • Nº Volúmenes: 1
  • Idioma: