Analysis of survey data
Title By: Chambers, R. L [Edited by] | Skinner, C. J [Edited by]Material type: BookSeries: Publisher: Chichester, West Sussex, England : Hoboken, NJ : Wiley, c2003.Description: xx, 376 p. : ill. ; 24 cm.ISBN: 9780471899877Subject(s): Mathematical statistics -- MethodologyDDC classification: 001.4/22 Online resources: Location Map
|Item type||Home library||Call number||Status||Date due||Barcode||Item holds|
|REGULAR||University of Wollongong in Dubai Main Collection||001.422 AN AL (Browse shelf)||Available||T0049479|
, Shelving location: Main Collection Close shelf browser
|001.4202854678 ER ES e-Research collaboration :||001.4202854678 MA DE Demystifying eresearch :||001.4202854678 RO DI Digital methods /||001.422 AN AL Analysis of survey data||001.422 CA ST Statistical consulting||001.422 DE CO Competitive innovation and improvement :||001.422 DI TA Taking the fear out of data analysis :|
Includes bibliographical references (p. -359) and indexes.
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.