Book Summary:
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. "Statistical complex survey analysis is a means to analyse the results, and gain information about a large population based on a complex survey of a sample of that population. A complex survey is a sample survey that divides the population into subgroups and collecting information from clusters within each subgroup and combining the results. Since the publication of the first edition in 1994, the field has changed considerably and the topic is now relevant beyond the narrow circle of survey statisticians. With large surveys becoming increasingly available for public use, researchers with little experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic issues. This practical book fills a niche by providing advanced statistical techniques for use in survey analysis, making complex surveys accessible to those working in statistics, business, economics, and the health and social sciences. " |