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Improving Survey Response: Lessons Learned from the European Social Survey
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About this ebook
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.
Related to Improving Survey Response
Titles in the series (27)
Introduction to Survey Quality Rating: 0 out of 5 stars0 ratingsAnalysis of Health Surveys Rating: 0 out of 5 stars0 ratingsMethods for Testing and Evaluating Survey Questionnaires Rating: 0 out of 5 stars0 ratingsEnvisioning the Survey Interview of the Future Rating: 0 out of 5 stars0 ratingsQuestion Evaluation Methods: Contributing to the Science of Data Quality Rating: 0 out of 5 stars0 ratingsDesigning and Conducting Business Surveys Rating: 0 out of 5 stars0 ratingsApplied Survey Methods: A Statistical Perspective Rating: 0 out of 5 stars0 ratingsComplex Surveys: A Guide to Analysis Using R Rating: 0 out of 5 stars0 ratingsAdvances in Telephone Survey Methodology Rating: 0 out of 5 stars0 ratingsStatistical Disclosure Control Rating: 0 out of 5 stars0 ratingsLatent Class Analysis of Survey Error Rating: 0 out of 5 stars0 ratingsNonresponse in Household Interview Surveys Rating: 0 out of 5 stars0 ratingsStatistical Matching: Theory and Practice Rating: 0 out of 5 stars0 ratingsEstimation in Surveys with Nonresponse Rating: 0 out of 5 stars0 ratingsSmall Area Estimation Rating: 0 out of 5 stars0 ratingsRegister-based Statistics: Statistical Methods for Administrative Data Rating: 0 out of 5 stars0 ratingsImproving Survey Response: Lessons Learned from the European Social Survey Rating: 0 out of 5 stars0 ratingsMethodology of Longitudinal Surveys Rating: 0 out of 5 stars0 ratingsOnline Panel Research: A Data Quality Perspective Rating: 0 out of 5 stars0 ratingsAnalysis of Poverty Data by Small Area Estimation Rating: 0 out of 5 stars0 ratingsCognitive Interviewing Methodology Rating: 0 out of 5 stars0 ratingsTotal Survey Error in Practice Rating: 0 out of 5 stars0 ratingsImplementation of Large-Scale Education Assessments Rating: 0 out of 5 stars0 ratingsAdvances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts (3MC) Rating: 0 out of 5 stars0 ratings
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Improving Survey Response - Ineke A. L. Stoop
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