Improving survey response : lessons learned from the European Social Survey
著者
書誌事項
Improving survey response : lessons learned from the European Social Survey
(Wiley series in survey methodology)
Wiley, 2010
- : hardback
大学図書館所蔵 全17件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. [305]-320) and index
内容説明・目次
内容説明
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.
目次
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
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