This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process.
Recent years have seen a sharp increase in the application of sophisticated statistical modelling methods to sample survey data. Analysis of Survey Data aims to provide a solid basis for the statistical theory underpinning these applications. This book brings together two key statistical traditions, statistical modelling - such as regression analysis - and sample survey methods, as used for sample design and estimation.
- Provides broad coverage of statistical methodology used in the analysis of survey data.
- Discusses the theoretical foundations of this methodology from a range of perspectives.
- Covers of a wide range of techniques, including categorical data analysis, generalized linear models, and longitudinal data analysis.
- Addresses issues of complex sampling and incomplete data.
- Features examples showing how methods are used in practice.
- Each chapter is written by a leading expert in the field.
- Includes an up-to-date bibliography.
Analysis of Survey Data is aimed primarily at statisticians interested in methods of analysing sample survey data. It should also provide a useful reference to many other survey data analysts in the social sciences and in the public and private sectors.
