Suchergebnisse

"Falling response rates and the advancement of technology have shaped the discussion in survey methodology in the last few years. Both led to a notable change in data collection efforts. Survey organizations try to create adaptive recruitment and survey designs and increased the collection of non-survey data for sampled cases. While the first strategy is an attempt to increase response rates and to save cost, the latter is part of efforts to reduce possible bias and response burden of those interviewed. To successfully implement adaptive designs and alternative data collection efforts researchers need to understand error properties of mixedmode
and multiple-frame surveys. Randomized experiments might be needed to gain that knowledge. In addition close collaboration between survey organizations and researchers is needed, including the possibility and willingness to shared data between those organizations. Expanding options for graduate and post-graduate education in survey methodology might help to increase the possibility for high quality surveys." [author's abstract]

Cover -- Wiley Series in Probability and Statistics -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- About the Companion Website -- Chapter 1 Refreshment Sampling for Longitudinal Surveys -- 1.1 Introduction -- 1.2 Principles -- 1.3 Sampling -- 1.3.1 Sampling Frame -- 1.3.2 Screening -- 1.3.3 Sample Design -- 1.3.4 Questionnaire Design -- 1.3.5 Frequency -- 1.4 Recruitment -- 1.5 Data Integration -- 1.6 Weighting -- 1.7 Impact on Analysis -- 1.8 Conclusions -- References -- Chapter 2 Collecting Biomarker Data in Longitudinal Surveys -- 2.1 Introduction -- 2.2 What Are Biomarkers, and Why Are They of Value? -- 2.2.1 Detailed Measurements of Ill Health -- 2.2.2 Biological Pathways -- 2.2.3 Genetics in Longitudinal Studies -- 2.3 Approaches to Collecting Biomarker Data in Longitudinal Studies -- 2.3.1 Consistency and Relevance of Measures Over Time -- 2.3.2 Panel Conditioning and Feedback -- 2.3.3 Choices of When and Who to Ask for Sensitive or Invasive Measures -- 2.3.4 Cost -- 2.4 The Future -- References -- Chapter 3 Innovations in Participant Engagement and Tracking in Longitudinal Surveys -- 3.1 Introduction and Background -- 3.2 Literature Review -- 3.3 Current Practice -- 3.4 New Evidence on Internet and Social Media for Participant Engagement -- 3.4.1 Background -- 3.4.2 Findings -- 3.4.2.1 MCS -- 3.4.2.2 Next Steps -- 3.4.3 Summary and Conclusions -- 3.5 New Evidence on Internet and Social Media for Tracking -- 3.5.1 Background -- 3.5.2 Findings -- 3.5.3 Summary and Conclusions -- 3.6 New Evidence on Administrative Data for Tracking -- 3.6.1 Background -- 3.6.2 Findings -- 3.6.3 Summary and Conclusions -- 3.7 Conclusion -- Acknowledgements -- References -- Chapter 4 Effects on Panel Attrition and Fieldwork Outcomes from Selection for a Supplemental Study: Evidence from the Panel Study of Income Dynamics.

Solutions to common problems in preelection surveys are described using the Gallup Poll as an example. A history of sampling theory is given, & examined are problems in & solutions to: (1) sampling, (2) estimation, (3) response validity, (4) the undecided, (5) measuring the likelihood to vote, & (6) measuring late trends in voter preference. Cited are demonstrable gains in accuracy that have followed application of the described solutions. 1 Table. Modified HA.