Practical Methods for Design and Analysis of Complex Surveys / Statistics in Practice (PDF)

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.