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Applied Survey Methods: A Statistical Perspective
John Wiley and Sons Ltd, July 2009, Pages: 375
A complete, hands-on guide to the use of statistical methods forobtaining reliable and practical survey research
Applied Survey Methods provides a comprehensive outline of the complete survey process, from design to publication. Filling a gap in the current literature, this one-of-a-kind book describes both the theory and practical applications of survey research with an emphasis on the statistical aspects of survey methods.
The book begins with a brief historic overview of survey research methods followed by a discussion that details the needed first steps for carrying out a survey, including the definition of a target population, the selection of a sampling frame, and the outline of a questionnaire with several examples that include common errors to avoid in the wording of questions. Throughout the book, the author provides an accessible discussion on the methodological problems that are associated with the survey process, outlining real data and examples while also providing insight on the future of survey research. Chapter coverage explores the various aspects of the survey process and the accompanying numerical techniques, including:
- Simple and composite sampling designs
- Estimators
- Data collection and editing
- The quality of results
- The non-response problem
- Weighting adjustments and methods
- Disclosure control
The final chapter addresses the growing popularity of Web surveys, and the associated methodological problems are discussed, including solutions to common pitfalls. Exercises are provided throughout with selected answers included at the end of the book, while a related Web site features additional solutions to exercises and a downloadable demo version of the Blaise system of computer-assisted interviewing. Access to the freely available SimSam software is also available on the related Web site and provides readers with the tools needed to simulate samples from finite populations as well as visualize the effects of sample size, non-response, and the use of different estimation procedures.
Applied Survey Methods is an excellent book for courses on survey research and non-response in surveys at the upper-undergraduate and graduate levels. It is also a useful reference for practicing statisticians and survey methodologists who work in both government and private research sectors
This book describes the survey process, from design to publication, and fills a current gap in the literature by emphasizing the statistical aspects of survey methods. An overview of the theory is provided including various sampling designs and estimators procedures, and the practical applications of survey research methods are also addressed, such as item and unit non-response and the associated treatment, i.e. imputation and weighting. Special attention is paid to data editing, disclosure control, weighting methods, and online surveys.
Chapter coverage includes a brief historic overview of survey research methods followed by a discussion detailing the needed first steps for carrying out a survey, including the definition of the target population, the selection of a sampling frame, and the definition of the questionnaire with several examples of how not to ask questions. Additional chapter coverage includes: simple sampling designs; composite sampling designs; estimators; data collection; the quality of results; the non-response problem; weighting adjustments; online surveys; analysis and publication; and disclosure control. Exercises are provided throughout the book, and selected answers can be found at the end of the book.
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