E-raamat: Analysis of Survey Data [Wiley Online]

Beginning with basic issues regarding the statistical framework and the approach to inference, this volume is broadly organized according to the type of survey data. Two sections addressing the analysis of cross-sectional survey data are presented, with a focus on the analysis of relationships between variables and with the separation between the two parts corresponding to the usual distinctions between discrete and continuous response variables. Regression models for continuous responses are next discussed, including methods of non-parametric regression and non-parametric graphical methods for displaying continuous data. The last two parts cover the extension to the analysis of longitudinal survey data and the data structures that are more complex than the largely rectangular data structures. Annotation (c) Book News, Inc., Portland, OR (booknews.com)

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.