Practical Methods for Design and Analysis of Complex Surveys, 2nd EditionISBN: 978-0-470-84769-5
Hardcover
360 pages
January 2004
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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Large surveys are becoming increasingly available for public use,
and researchers are often faced with the need to analyse complex
survey data to address key scientific issues. For proper analysis
it is also important to be aware of the different aspects of the
design of complex surveys. Practical Methods for Design and
Analysis of Complex Surveys features intermediate and advanced
statistical techniques for use in designing and analysing complex
surveys. This extensively updated edition features much new
material, and detailed practical exercises with links to a Web
site, helping instructors and enabling use for distance
learning.
* Provides a comprehensive introduction to sampling and estimation in descriptive surveys, including design effect statistic and use of auxiliary data.
* Includes detailed coverage of complex survey analysis, including design-based ANOVA and logistic regression with GEE estimation.
* Contains much new material, including handling of non-sampling errors, and model-assisted estimation for domains.
* Features detailed real-li fe case studies, such as multilevel modeling in a multinational educational survey.
* Supported by a Web site containing software codes, real data sets, computerized exercises with solutions, and online training materials.
Practical Methods for Design and Analysis of Complex Surveys provides a useful practical resource for researchers and practitioners working in the planning, implementation or analysis of complex surveys and opinion polls, including business, educational, health, social, and socio-economic surveys and official statistics. In addition, the book is well suited for use on intermediate and advanced courses in survey sampling.
* Provides a comprehensive introduction to sampling and estimation in descriptive surveys, including design effect statistic and use of auxiliary data.
* Includes detailed coverage of complex survey analysis, including design-based ANOVA and logistic regression with GEE estimation.
* Contains much new material, including handling of non-sampling errors, and model-assisted estimation for domains.
* Features detailed real-li fe case studies, such as multilevel modeling in a multinational educational survey.
* Supported by a Web site containing software codes, real data sets, computerized exercises with solutions, and online training materials.
Practical Methods for Design and Analysis of Complex Surveys provides a useful practical resource for researchers and practitioners working in the planning, implementation or analysis of complex surveys and opinion polls, including business, educational, health, social, and socio-economic surveys and official statistics. In addition, the book is well suited for use on intermediate and advanced courses in survey sampling.