Administrative Records for Survey Methodology. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Математика
Год издания: 0
isbn: 9781119272069
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Bias at the Survey Design Stage 7.4 Methods for Minimizing Non-Consent Bias at the Survey Analysis Stage 7.5 Summary 7.6 Practical Implications for Implementation with Surveys and Censuses 7.7 Exercises References

      10  Part III: Use of Administrative Records in Surveys 8 A Register-Based Census: The Swedish Experience 8.1 Introduction 8.2 Background 8.3 Census 2011 8.4 A Register-Based Census 8.5 Evaluation of the Census 8.6 Impact on Population and Housing Statistics 8.7 Summary and Final Remarks References 9 Administrative Records Applications for the 2020 Census 9.1 Introduction 9.2 Administrative Record Usage in the U.S. Census 9.3 Administrative Record Integration in 2020 Census Research 9.4 Quality Assessment 9.5 Other Applications of Administrative Record Usage 9.6 Summary 9.7 Exercises References 10 Use of Administrative Records in Small Area Estimation 10.1 Introduction 10.2 Data Preparation 10.3 Small Area Estimation Models for Combining Information 10.4 An Application 10.5 Concluding Remarks 10.6 Exercises Acknowledgments References

      11  Part IV: Use of Administrative Data in Evidence-Based Policymaking 11 Enhancement of Health Surveys with Data Linkage 11.1 Introduction 11.2 Examples of NCHS Health Surveys that Were Enhanced Through Linkage 11.3 NCHS Health Surveys Linked with Vital Records and Administrative Data 11.4 NCHS Data Linkage Program: Linkage Methodology and Processing Issues 11.5 Enhancements to Health Survey Data Through Linkage 11.6 Analytic Considerations and Limitations of Administrative Data 11.7 Future of the NCHS Data Linkage Program 11.8 Exercises Acknowledgments Disclaimer References 12 Combining Administrative and Survey Data to Improve Income Measurement 12.1 Introduction 12.2 Measuring and Decomposing Total Survey Error 12.3 Generalized Coverage Error 12.4 Item Nonresponse and Imputation Error 12.5 Measurement Error 12.6 Illustration: Using Data Linkage to Better Measure Income and Poverty 12.7 Accuracy of Links and the Administrative Data 12.8 Conclusions 12.9 Exercises Acknowledgments References 13 Combining Data from Multiple Sources to Define a Respondent: The Case of Education Data 13.1 Introduction 13.2 Literature Review 13.3 Methodology 13.4 Example of Defining a Unit Respondent for the National Postsecondary Student Aid Study (NPSAS) 13.5 Discussion: Advantages and Disadvantages of Two Approaches to Defining a Unit Respondent 13.6 Practical Implications for Implementation with Surveys and Censuses 13.A Appendix 13.B Appendix References Index End User License Agreement