Practical Methods for Design and Analysis of Complex Surveys (Statistics in Practice) - Softcover

Lehtonen, Risto; Pahkinen, Erkki

 
9780471939344: Practical Methods for Design and Analysis of Complex Surveys (Statistics in Practice)

Synopsis

Statistics in Practice, A new series of practical books outlining the use of statistical techniques in a wide range of application areas:

  • Human and Biological Sciences
  • Earth and Environmental Sciences
  • Industry, Commerce and Finance
Covering both survey sampling and survey analysis, the authors aim to provide the reader with a unified coverage of the practical tools of basic and more advanced survey sampling and estimation. Contents include:
  • Sampling design.
  • The design effect statistic.
  • Use of auxiliary information.
  • Methods for handling missing data.
  • Variance and covariance estimation.
  • Design-based analysis of frequency tables.
  • Multivariate methods for complex surveys.
Fully worked examples and case studies taken from official statistics and real surveys on health and social sciences are used to illustrate the various methods. Additional case studies are presented covering a range of topics such as business surveys, socio-economic surveys and educational surveys. Selected commercially available software packages for complex surveys are discussed with demonstrations using data from the case studies. Intended primarily for those involved in the planning, implementation or analysis of descriptive or analytical surveys and opinion polls, the book will also be of interest to researchers and students in many disciplines. In addition, the book is well suited for use on courses in survey sampling.

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From the Publisher

Provides readers with practical, up-to-date tools for basic and more advanced sampling and estimation, demonstrating the benefits of using available auxiliary information for efficient sampling and estimation. Describes approximative techniques for variance and covariance estimation as well as analysis methods for frequency tables and multivariate techniques usable in complex surveys. Each method is illustrated with numerical examples and case studies from actual surveys.

From the Back Cover

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.

"About this title" may belong to another edition of this title.