Applied survey data analysis / Steven G. Heeringa, Brady T. West, and Patricia A. Berglund.  (Text) (Text)

Heeringa, Steven, 1953-
West, Brady T | Berglund, Patricia A
Call no.: HA29 .H396 2017Series: Statistics in the social and behavioral sciences series: Publication: Boca Raton, FL : CRC Press, Taylor & Francis Group, c2017Edition: 2nd edDescription: xxii, 568 p. : illISBN: 9781498761604; 1498761607Subject(s): Social sciences -- StatisticsSocial surveys -- Statistical methodsLOC classification: HA29 | .H396 2017
Contents:1. Applied Survey Data Analysis: An Overview -- 2. Getting to Know the Complex Sample Design -- 3. Foundations and Techniques for Design-Based Estimation and Inference -- 4. Preparation for Complex Sample Survey Data Analysis -- 5. Descriptive Analysis for Continuous Variables -- 6. Categorical Data Analysis -- 7. Linear Regression Models -- 8. Logistic Regression and Generalized Linear Models for Binary Survey Variables -- 9. Generalized Linear Models for Multinomial, Ordinal, and Count Variables -- 10. Survival Analysis of Event History Survey Data -- 11. Analysis of Longitudinal Complex Sample Survey Data -- 12. Imputation of Missing Data: Practical Methods and Applications for Survey Analysts -- 13. Advanced Topics in the Analysis of Survey Data.
Summary: Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated website.
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Includes bibliographical references and index.

1. Applied Survey Data Analysis: An Overview -- 2. Getting to Know the Complex Sample Design -- 3. Foundations and Techniques for Design-Based Estimation and Inference -- 4. Preparation for Complex Sample Survey Data Analysis -- 5. Descriptive Analysis for Continuous Variables -- 6. Categorical Data Analysis -- 7. Linear Regression Models -- 8. Logistic Regression and Generalized Linear Models for Binary Survey Variables -- 9. Generalized Linear Models for Multinomial, Ordinal, and Count Variables -- 10. Survival Analysis of Event History Survey Data -- 11. Analysis of Longitudinal Complex Sample Survey Data -- 12. Imputation of Missing Data: Practical Methods and Applications for Survey Analysts -- 13. Advanced Topics in the Analysis of Survey Data.

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software. Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated website.

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