Practical tools for designing and weighting survey samples. 2nd edition. (English) Zbl 1411.62016

Valliant, Richard; Dever, Jill A.; Kreuter, Frauke

Statistics for Social and Behavioral Sciences. Cham: Springer (ISBN 978-3-319-93631-4/hbk; 978-3-319-93632-1/ebook). xxvi, 776 p. (2018).

From the publisher’s description: Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition:

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Details on new functions in the PracTools package

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Additional machine learning methods to form weighting classes

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New coverage of nonlinear optimization algorithms for sample allocation

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Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors

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A new chapter on nonprobability sampling

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Additional examples, exercises, and updated references throughout

See the review of the first edition in [Zbl 1282.62027].

MSC:

62-02	Research exposition (monographs, survey articles) pertaining to statistics
62D05	Sampling theory, sample surveys
62-04	Software, source code, etc. for problems pertaining to statistics
62P25	Applications of statistics to social sciences
62P35	Applications of statistics to physics

Keywords:

design; sample size; weighting; software

Citations:

Zbl 1282.62027

Software:

svr; doBy; sampling; R; foreign; WesVar; SUDAAN; S-PLUS; samplingbook; Excel; graphics; stats; lme4; SAS; PracTools; alabama; quadprog; rpart; survival