Improving Survey Response

Lessons Learned from the European Social Survey
1. Auflage 2010
ISBN: 978-0-470-51669-0
Verlag: Wiley

Buch, Englisch, 340 Seiten, Format (B × H): 157 mm x 231 mm, Gewicht: 617 g

Reihe: Wiley Series in Survey Methodology

High response rates have traditionally been considered as one of the main indicators of survey quality. Obtaining high response rates is sometimes difficult and expensive, but clearly plays a beneficial role in terms of improving data quality. It is becoming increasingly clear, however, that simply boosting response to achieve a higher response rate will not in itself eradicate nonresponse bias. In this book the authors argue that high response rates should not be seen as a goal in themselves, but rather as part of an overall survey quality strategy based on random probability sampling and aimed at minimising nonresponse bias.
Key features of Improving Survey Response:

- A detailed coverage of nonresponse issues, including a unique examination of cross-national survey nonresponse processes and outcomes.
- A discussion of the potential causes of nonresponse and practical strategies to combat it.
- A detailed examination of the impact of nonresponse and of techniques for adjusting for it once it has occurred.
- Examples of best practices and experiments drawn from 25 European countries.
- Supplemented by the European Social Survey (ESS) websites, containing materials for the measurement and analysis of nonresponse based on detailed country-level response process datasets.

The book is designed to help survey researchers and those commissioning surveys by explaining how to prioritise the reduction of nonresponse bias rather than focusing on increasing the overall response rate. It shows substantive researchers how nonresponse can impact on substantive outcomes.

Autoren/Hrsg.

Stoop, Ineke A L

Stoop, Ineke

Billiet, Jaak

Koch, Achim

Fitzgerald, Rory

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Geowissenschaften Umweltwissenschaften Soziale & wirtschaftliche Auswirkungen von Umweltfaktoren
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

1. Backgrounds of nonresponse
1.1. Introduction

1.2. Declining response rates

1.3. Total survey quality and nonresponse

1.4. Optimising comparability

2. Survey response in cross-national studies

2.1. Introduction

2.2. Harmonisation models

2.3. Contactability

2.4. Ability to cooperate

2.5. Willingness to cooperate

2.6. Nonresponse bias

2.7. Ethics and humans

3. The European Social Survey

3.1. Introduction

3.2. What is the European Social Survey?

3.3. ESS design and methodology

3.4. Nonresponse targets, strategies and documentation

3.5. Conclusions

4. Implementation of the European Social Survey

4.1. Introduction

4.2. Basic survey features

4.3. Practical fieldwork issues

4.4. Summary and conclusions

5. Response and nonresponse rates in the European Social Survey

5.1. Data and definitions

5.2. Response and nonresponse rates in ESS 3

5.3. Response rate differences and fieldwork efforts

6. Response enhancement through extended interviewer efforts

6.1. Introduction

6.2. Previous research on contactability

6.3. Previous research on cooperation

6.4. Sample type and recruitment mode in the European Social Survey

6.5. Establishing contact in the European Social Survey

6.6. Obtaining cooperation in the European Social Survey

6.7. Effects of enhanced field efforts in the European Social Survey

6.8. Conclusion

7. Refusal conversion

7.1. Introduction

7.2. Previous research

7.3. Refusal conversion in the ESS

7.4. Refusal conversion and data quality

7.5. Discussion and conclusions

8. Designs for detecting nonresponse bias and adjustment

8.1. What is nonresponse bias?

8.2. Methods for assessing nonresponse bias

8.4. Final conclusions

9. Lessons learned

9.1. Introduction

9.2. Standardisation, tailoring and control

9.3. Achieving high response rates

9.4. Refusal conversion

9.5. Nonresponse bias

9.6. Contact forms and fieldwork monitoring

9.7. Into the future

Über Autor(innen)

Ineke Stoop, Social and Cultural Planning Office of the Netherlands
Head of the Department of Data Services and IT, Dr Stoop has worked in survey research and data quality for almost 30 years. She's a member of the advisory board for both Eurostat and the ISI. Her main research interest is nonresponse.
Jaak Billiet, Centre for Sociological Research, K.U. Leuven, Belgium
Professor Billiet is head of the Centre of Sociological Research and a member of the central co-ordination team of the European Social Survey.
Achim Koch, Centre for Survey Research and Methodology, Germany
Senior Researcher Achim Koch has been working in this area for 20 years. He was Director of the German General Social Survey between 1995 and 2004.
Rory Fitzgerald, Centre for Comparative Social Surveys, City University, UK
Senior Research Fellow Rory Fitzgerald has had many years experience working in surveying. Before moving to his current post he was Research Director at the National Centre for Social Research (NatCen) for 5 years.
All four authors have published numerous articles in this area.