Rory Fitzgerald – författare

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.

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.

Winner of the 2006 The Descartes Prize “for excellence in collaborative scientific research”

With the expansion of the European Union and the development of supra-national governance worldwide, the volume of cross-national data and the importance of rigorous comparative analysis has grown rapidly.

This book, written by members of the design and implementation team for the groundbreaking European Social Survey (ESS), reviews current best practice in the conduct of cross-national, cross-cultural quantitative research. The first eight chapters cover the background and rationale for the Survey and offer a detailed analysis of the methods and procedures used, as well as exploring ways to overcome the obstacles to successful cross-national research. The final chapter looks ahead to future comparative surveys and discusses the lessons that can be learned from the ESS.

As well as examining methodological issues, Measuring Attitudes Cross-Nationally includes four substantive chapters on the findings of the ESS, including the emergence of hitherto unknown national differences in values regarding immigration and perceptions of citizenship. The ESS data is also considered in comparison with that from US General Social Survey.

Measuring Attitudes Cross-Nationally offers a practical guide, firmly grounded in theory, for researchers across the social sciences who have an interest the design, planning or interpretation of cross-national social surveys.