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Analysis of Survey Data
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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. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.
From the Back Cover
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.
Author(s) :C. J. Skinner, R. L. Chambers
Publish Year :2003 Publisher : Wiley
You can check by ISBN10/ISBN13 : 0471899879/9780471899877
Pages :381
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