Practical Tools for Designing and Weighting Survey Samples

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Social & Cultural Studies, Social Science, Statistics
Cover of the book Practical Tools for Designing and Weighting Survey Samples by Richard Valliant, Jill A. Dever, Frauke Kreuter, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter ISBN: 9781461464495
Publisher: Springer New York Publication: May 16, 2013
Imprint: Springer Language: English
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter
ISBN: 9781461464495
Publisher: Springer New York
Publication: May 16, 2013
Imprint: Springer
Language: English

Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples.

Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples.

Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.

More books from Springer New York

Cover of the book The Hippo Signaling Pathway and Cancer by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Terraforming: The Creating of Habitable Worlds by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book The ACL Handbook by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Rapid and Practical Interpretation of Urodynamics by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Breast Care by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book The Physics of Invisibility by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Innovation Systems in Small Catching-Up Economies by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Continuous Average Control of Piecewise Deterministic Markov Processes by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Emotion Recognition using Speech Features by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Postpartum Depression by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book The Internet for Orthopaedists by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Neuroinformatics for Neuropsychology by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Midfacial Rejuvenation by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Passing the USMLE by Richard Valliant, Jill A. Dever, Frauke Kreuter
Cover of the book Real Analysis by Richard Valliant, Jill A. Dever, Frauke Kreuter
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy