Total Survey Error in Practice 1st Edition by Paul P Biemer 1119041694 9781119041696

Total Survey Error in Practice 1st Edition by Paul P. Biemer – Ebook Instant Download/Delivery ISBN(s): 1119041694, 9781119041696

Product details:

• ISBN 10: 1119041694
• ISBN 13: 9781119041696
• Author:  Paul

This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields continue to evolve, leading to larger and messier data sets. This perspective challenges survey organizations to find ways to collect and process data more efficiently without sacrificing quality.

Table of contents:

Section 1: The Concept of TSE and the TSE Paradigm

1 The Roots and Evolution of the Total Survey Error Concept

1.1 Introduction and Historical Backdrop

1.2 Specific Error Sources and Their Control or Evaluation

1.3 Survey Models and Total Survey Design

1.4 The Advent of More Systematic Approaches Toward Survey Quality

1.5 What the Future Will Bring

References

2 Total Twitter Error

2.1 Introduction

2.2 Social Media: An Evolving Online Public Sphere

2.3 Components of Twitter Error

2.4 Studying Public Opinion on the Twittersphere and the Potential Error Sources of Twitter Data: Two Case Studies

2.5 Discussion

2.6 Conclusion

References

3 Big Data

3.1 Introduction

3.2 Definitions

3.3 The Analytic Challenge: From Database Marketing to Big Data and Data Science

3.4 Assessing Data Quality

3.5 Applications in Market, Opinion, and Social Research

3.6 The Ethics of Research Using Big Data

3.7 The Future of Surveys in a Data‐Rich Environment

References

4 The Role of Statistical Disclosure Limitation in Total Survey Error

4.1 Introduction

4.2 Primer on SDL

4.3 TSE‐Aware SDL

4.4 Edit‐Respecting SDL

4.5 SDL‐Aware TSE

4.6 Full Unification of Edit, Imputation, and SDL

4.7 “Big Data” Issues

4.8 Conclusion

Acknowledgments

References

Section 2: Implications for Survey Design

5 The Undercoverage–Nonresponse Tradeoff

5.1 Introduction

5.2 Examples of the Tradeoff

5.3 Simple Demonstration of the Tradeoff

5.4 Coverage and Response Propensities and Bias

5.5 Simulation Study of Rates and Bias

5.6 Costs

5.7 Lessons for Survey Practice

References

6 Mixing Modes

6.1 Introduction

6.2 The Effect of Offering a Choice of Modes

6.3 Getting People to Respond Online

6.4 Sequencing Different Modes of Data Collection

6.5 Separating the Effects of Mode on Selection and Reporting

6.6 Maximizing Comparability Versus Minimizing Error

6.7 Conclusions

References

7 Mobile Web Surveys

7.1 Introduction

7.2 Coverage

7.3 Nonresponse

7.4 Measurement Error

7.5 Links Between Different Error Sources

7.6 The Future of Mobile web Surveys

References

8 The Effects of a Mid‐Data Collection Change in Financial Incentives on Total Survey Error in the National Survey of Family Growth

8.1 Introduction

8.2 Literature Review: Incentives in Face‐to‐Face Surveys

8.3 Data and Methods

8.4 Results

8.5 Conclusion

References

9 A Total Survey Error Perspective on Surveys in Multinational, Multiregional, and Multicultural Contexts

9.1 Introduction

9.2 TSE in Multinational, Multiregional, and Multicultural Surveys

9.3 Challenges Related to Representation and Measurement Error Components in Comparative Surveys

9.4 QA and QC in 3MC Surveys

References

10 Smartphone Participation in Web Surveys

10.1 Introduction

10.2 Prevalence of Smartphone Participation in Web Surveys

10.3 Smartphone Participation Choices

10.4 Instrument Design Choices

10.5 Device and Design Treatment Choices

10.6 Conclusion

10.7 Future Challenges and Research Needs

Appendix 10.A: Data Sources

Appendix 10.B: Smartphone Prevalence in Web Surveys

Appendix 10.C: Screen Captures from Peterson et al. (2013) Experiment

Appendix 10.D: Survey Questions Used in the Analysis of the Peterson et al. (2013) Experiment

References

11 Survey Research and the Quality of Survey Data Among Ethnic Minorities

11.1 Introduction

11.2 On the Use of the Terms Ethnicity and Ethnic Minorities

11.3 On the Representation of Ethnic Minorities in Surveys

11.4 Measurement Issues

11.5 Comparability, Timeliness, and Cost Concerns

11.6 Conclusion

References

Section 3: Data Collection and Data Processing Applications

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