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Practical Methods for Design and Analysis of Complex Surveys (eBook)

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2004 | 2. Auflage
360 Seiten
John Wiley & Sons (Verlag)
978-0-470-09163-0 (ISBN)

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Practical Methods for Design and Analysis of Complex Surveys - Risto Lehtonen, Erkki Pahkinen
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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.

Risto Lehtonen and Erkki Pahkinen are the authors of Practical Methods for Design and Analysis of Complex Surveys, 2nd Edition, published by Wiley.

Preface.

1. Introduction.

2. Basic Sampling Techniques.

2.1 Basic definitions.

2.2 The Province'91 population.

2.3 Simple random sampling and design effect.

2.4 Systematic sampling and intra-class correlation.

2.5 Selection with probability proportional to size.

3. Further Use of Auxiliary Information.

3.1 Stratified sampling.

3.2 Cluster sampling.

3.3 Model-assisted estimation.

3.4 Efficiency comparison using design effects.

4. Handling Nonsampling Errors.

4.1 Reweighting.

4.2 Imputation.

4.3 Chapter summary and further reading.

5. Linearization and Sample Reuse in Variance
Estimation.

5.1 The Mini-Finland Health Survey.

5.2 Ratio estimators.

5.3 Linearization method.

5.4 Sample reuse methods.

5.5 Comparison of variance estimators.

5.6 The Occupational Health C are Survey.

5.7 Linearization method for covariance-matrix estimation.

5.8 Chapter summary and further reading.

6. Model-assisted Estimation for Domains.

6.1 Framework for domain estimation.

6.2 Estimator type and model choice.

6.3 Construction of estimators and model specification.

6.4 Further comparison of estimators.

6.5 Chapter summary and further reading.

7. Analysis of One-way and Two-way Tables.

7.1 Introductory example.

7.2 Simple goodness-of-fit test.

7.3 Preliminaries for tests for two-way tables.

7.4 Test of homogeneity.

7.5 Test of independence.

7.6 Chapter summary and further reading.

8. Multivariate Survey Analysis.

8.1 Range of methods.

8.2 Types of models and options for analysis.

8.3 Analysis of categorical data.

8.4 Logistic and linear regression.

8.5 Chapter summary and further reading.

9. More Detailed Case Studies.

9.1 Monitoring quality in a long-term transport survey.

9.2 Estimation of mean salary in a business survey.

9.3 Model selection in a socioeconomic survey.

9.4 Multi-level modelling in an educational survey.

References.

Author Index.

Subject Index.

Web Extension.

In addition to the printed book, electronic materials supporting
the use of the book can be found in the web extension.

"As in the previous edition, this book is a good resource for
practitioners and cross-disciplinary researchers who use data from
complex survey designs." (Journal of the American Statistical
Association, March 2006)

"The first edition of the book was one of the first books in the
excellent Wiley U.K. series on Statistics in Practice."
(Technometrics, May 2005)

Erscheint lt. Verlag 5.3.2004
Reihe/Serie Statistics in Practice
Statistics in Practice
Sprache englisch
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Naturwissenschaften
Technik
Wirtschaft Betriebswirtschaft / Management Marketing / Vertrieb
Schlagworte Methoden der Daten- u. Stichprobenerhebung • Statistics • Statistik • Survey Research Methods & Sampling
ISBN-10 0-470-09163-0 / 0470091630
ISBN-13 978-0-470-09163-0 / 9780470091630
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