Analyzing Complex Survey Data
Language: English
Published by SAGE Publications, Incorporated, 1989
Series: Book 153 of 194 - Quantitative Applications in the Social Sciences
- Softcover
- Used

Seller: Better World Books Ltd, Dunfermline, United KingdomBetter World Books Ltd
AbeBooks seller since October 13, 2008
Condition: Used - Good
US$ 8.49
Quantity: 1 available
Add to basketItem description from seller
Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # GRP33955829
- Title
- Analyzing Complex Survey Data
- Author
- Forthofer, Ronald N., Lorimor, Ronald J., Lee, Eun Sul
- Publisher
- SAGE Publications, Incorporated
- Publication year
- 1989
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0803930143
- ISBN 13
- 9780803930148
- Item weight
- 0.249 pounds
- Dimensions
- N/A
- Series
- Book 153 of 194: Quantitative Applications in the Social Sciences
"Eun Sul Lee, Ronald N. Forthofer, and Ronald J. Lorimor provide a well-written, descriptive, practical guide to analyzing complex survey data. Though the material presented is addressed primarily to the survey data analyst, this monograph is an excellent reference book for the libraries of survey designers, data preparers, and all who study, use, or teach survey sampling."
--Journal of Marketing Research
Social scientists are demanding more analytic studies of social survey data in order to examine a variety of emerging issues. Answering this need, Analyzing Complex Survey Data offers an effective means to explore and analyze complex surveys--and how to overcome problems that often arise. It includes discussions on the choices involved in variance estimation, simple random sampling without replacement, stratified random sampling, and two-stage cluster sampling and outlines the different computer programs that are currently available. This succinct, well-written volume concludes with a plea for more design-based, as compared to model-based, statistical inference.
"Synopsis" may belong to another edition of this title.
About the Author
Teaching and research in public health (Survey design and analysis in mental health and nutrition, demographic analysis of infant mortality and reproductive health, biostatical and epidemiologic analysis of cancer registry data and environmental surveys, statistical methods in epidemiology)
Ron Forthofer has a B.S. in mathematics from the University of Dayton, and an M.S. in mathematical statistics and a Ph.D. in biostatistics from the University of North Carolina at Chapel Hill. He is a retired professor of biostatistics from the University of Texas School of Public Health in Houston. He also spent time with the National Center for Health Statistics and with Hoechst Pharmaceutical in Germany. Since Ron retired and moved to Colorado in 1991, he has been an activist for peace and social justice, working on health care, trade issues, international peace, and Social Security. In his spare time, he ran for Congress in 2000 and for Governor in 2002 for the Green Party.
"About the title" may belong to another edition of this title.
Better World Books Ltd
Dunfermline, United Kingdom
AbeBooks seller since October 13, 2008
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