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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.
Advances in Comparative Survey Methods
Multinational, Multiregional, and Multicultural Contexts (3MC)
Inbunden, Engelska, 2018
1 379 kr
Skickas inom 7-10 vardagar
Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques.This important resource: Contains contributions from key experts in their respective fields of study from around the globeHighlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other dataIncludes material that is organized within the total survey error frameworkPresents extensive and up-to-date references throughout the bookWritten for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.