Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
Chapter 32: Analytical Potential Versus Data Confidentiality – Finding the Optimal Balance
Analytical Potential Versus Data Confidentiality – Finding the Optimal Balance
The need to protect respondents’ privacy and researchers’ need for the most detailed data possible are often in conflict. This is particularly true for data produced by statistical offices. Many statistical solutions have been proposed to overcome the trade-off between data confidentiality and data utility. However, this conflict cannot be resolved satisfactorily by statistical measures alone. Utility and privacy are linked, and, as long as data are useful, there will always remain some disclosure risk, even if it is miniscule. All statistical disclosure control methods lead to a loss of information either in the range of analyses or in the validity of estimations and thus limit the data ...