Applied Survey Data Analysis (Chapman & Hall/CRC Statistics in the Social and B,

Description: About this productProduct InformationThis book provides an overview of methods for analyzing complex sample survey data using statistical software. It emphasizes the practical application of the analysis techniques through detailed worked examples using real survey data. The book uses a variety of software options for the analyses, including Stata, SAS, SPSS, Sudaan, and R. The supplementary website provides software code in each package to assist with sample analyses. Keeping theoretical details to a minimum, the book presents introductory material on complex sample designs and calculation of sampling weights. It also includes a large number of exercises to enable further understanding of the methods described.Product IdentifiersPublisherCRC Press LLCISBN-101420080660ISBN-139781420080667eBay Product ID (ePID)66543264Product Key FeaturesAuthorSteven G. Heeringa, Brady T. West, Patricia A. BerglundPublication NameApplied Survey Data AnalysisFormatHardcoverLanguageEnglishSeriesChapman and Hall/Crc Statistics in the Social and Behavioral Sciences Ser.Publication Year2010TypeTextbookNumber of Pages487 PagesDimensionsItem Length9.3in.Item Height1.3in.Item Width6.5in.Item Weight28.9 OzAdditional Product FeaturesLc Classification NumberHa29.H428 2010Reviewsthe authors do an admirable job of striking a balance between statistical theory and practical advice and analysis. The authors provide excellent coverage of each aspect of the survey analysis process ... This book is an excellent general resource and if the reader is left wanting on a topic the authors never fail to provide an ample set of citations and references to a wide variety of notable texts on the topic in question. ... an excellent and helpful addition to the desk of any analyst, researcher, or student with a general background in statistics who is dealing with the special challenges and demands of complex survey data. --Gregory Holyk, Journal of Official Statistics, Vol. 27, 2011 Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book. --Jae-Kwang Kim, The American Statistician, November 2011 The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. ... It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. ... it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. ... --E.C. Abraham, AQMeNtion Newsletter, April 2011 ... there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. --International Statistical Review(2010), 78, 3, the authors do an admirable job of striking a balance between statistical theory and practical advice and analysis. The authors provide excellent coverage of each aspect of the survey analysis process e This book is an excellent general resource and if the reader is left wanting on a topic the authors never fail to provide an ample set of citations and references to a wide variety of notable texts on the topic in question. e an excellent and helpful addition to the desk of any analyst, researcher, or student with a general background in statistics who is dealing with the special challenges and demands of complex survey data. e"Gregory Holyk, Journal of Official Statistics, Vol. 27, 2011 Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book. e"Jae-Kwang Kim, The American Statistician, November 2011 The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. e It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. e it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. e e"E.C. Abraham, AQMeNtion Newsletter, April 2011 e there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. e"International Statistical Review (2010), 78, 3, the authors do an admirable job of striking a balance between statistical theory and practical advice and analysis. The authors provide excellent coverage of each aspect of the survey analysis process ... This book is an excellent general resource and if the reader is left wanting on a topic the authors never fail to provide an ample set of citations and references to a wide variety of notable texts on the topic in question. ... an excellent and helpful addition to the desk of any analyst, researcher, or student with a general background in statistics who is dealing with the special challenges and demands of complex survey data. --Gregory Holyk, Journal of Official Statistics, Vol. 27, 2011 Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book. --Jae-Kwang Kim, The American Statistician, November 2011 The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. ... It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. ... it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. ... --E.C. Abraham, AQMeNtion Newsletter, April 2011 ... there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. --International Statistical Review (2010), 78, 3, Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book. -Jae-Kwang Kim, The American Statistician, November 2011 The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. â€¦ It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. â€¦ it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. â€¦ -E.C. Abraham, AQMeNtion Newsletter, April 2011 â€¦ there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. -International Statistical Review(2010), 78, 3, the authors do an admirable job of striking a balance between statistical theory and practical advice and analysis. The authors provide excellent coverage of each aspect of the survey analysis process â€¦ This book is an excellent general resource and if the reader is left wanting on a topic the authors never fail to provide an ample set of citations and references to a wide variety of notable texts on the topic in question. â€¦ an excellent and helpful addition to the desk of any analyst, researcher, or student with a general background in statistics who is dealing with the special challenges and demands of complex survey data. -Gregory Holyk, Journal of Official Statistics, Vol. 27, 2011 Overall, the book is clearly written and easy to follow, and well equipped with real data examples and a book website. The program codes used in the example are also available, mostly written in Stata. I like the presentations with real survey examples and, in particular, the unified four-step approach to the regression analysis in different models. Anyone working on survey data analysis would find the book very helpful and instructive. The book website seems to be a good complement, with additional resources on this book. -Jae-Kwang Kim, The American Statistician, November 2011 The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. â€¦ It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. â€¦ it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. â€¦ -E.C. Abraham, AQMeNtion Newsletter, April 2011 â€¦ there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. -International Statistical Review(2010), 78, 3, The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. "E.C. Abraham, AQMeNtion Newsletter, April 2011 there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. "International Statistical Review(2010), 78, 3, The book is well-written by authors who have over 60 years of combined teaching and consultation experience in survey methodology and research techniques. It is excellent for reference, with 12 structured chapters coherently organised, providing intermediate-level statistical overview of techniques used in analysing complex survey data. â€¦ It provides analysts with a framework of how to plan and conduct analysis of survey data, familiarise with terminologies used and understand common complex sample design features of clustering, stratification and weighting. â€¦ it is an excellent reference book for Stata users and the accompanying website provides useful resources and updated information. I feel that the book seamlessly links theory with practical applications of the statistical methods and helps the reader to develop an understanding of the framework of thinking required to effectively analyse complex survey data sets. â€¦ -E.C. Abraham, AQMeNtion Newsletter, April 2011 â€¦ there is a wealth of instruction here. The writing style is expansive, keeping mathematics in check, and the material is well organized clearly into appropriate sections. I think that the book would serve any budding survey practitioner well: armed with the knowledge and practical skills covered herein, plus some real-life experience of course, one could reasonably claim to be well qualified in the subject. -International Statistical Review(2010), 78, 3Table of ContentApplied Survey Data Analysis: Overview Introduction A Brief History of Applied Survey Data Analysis Example Data Sets and Exercises Getting to Know the Complex Sample Design Introduction Classification of Sample Designs Target Populations and Survey Populations Simple Random Sampling: A Simple Model for Design-Based Inference Complex Sample Design Effects Complex Samples: Clustering and Stratification Weighting in Analysis of Survey Data Multistage Area Probability Sample Designs Special Types of Sampling Plans Encountered in Surveys Foundations and Techniques for Design-Based Estimation and Inference Introduction Finite Populations and Superpopulation Models Confidence Intervals for Population Parameters Weighted Estimation of Population Parameters Probability Distributions and Design-Based Inference Variance Estimation Hypothesis Testing in Survey Data Analysis Total Survey Error and Its Impact on Survey Estimation and Inference Preparation for Complex Sample Survey Data Analysis Introduction Analysis Weights: Review by the Data User Understanding and Checking the Sampling Error Calculation Model Addressing Item Missing Data in Analysis Variables Preparing to Analyze Data for Sample Subpopulations A Final Checklist for Data Users Descriptive Analysis for Continuous Variables Introduction Special Considerations in Descriptive Analysis of Complex Sample Survey Data Simple Statistics for Univariate Continuous Distributions Bivariate Relationships between Two Continuous Variables Descriptive Statistics for Subpopulations Linear Functions of Descriptive Estimates and Differences of Means Exercises Categorical Data Analysis Introduction A Framework for Analysis of Categorical Survey Data Univariate Analysis of Categorical Data Bivariate Analysis of Categorical Data Analysis of Multivariate Categorical Data Exercises Linear Regression Models Introduction The Linear Regression Model Four Steps in Linear Regression Analysis Some Practical Considerations and Tools Application: Modeling Diastolic Blood Pressure with the NHANES Data Exercises Logistic Regression and Generalized Linear Models (GLMs) for Binary Survey Variables Introduction GLMs for Binary Survey Responses Building the Logistic Regression Model: Stage 1, Model Specification Building the Logistic Regression Model: Stage 2, Estimation of Model Parameters and Standard Errors Building the Logistic Regression Model: Stage 3, Evaluation of the Fitted Model Building the Logistic Regression Model: Stage 4, Interpretation and Inference Analysis Application Comparing the Logistic, Probit, and Complementary Log-Log GLMs for Binary Dependent Variables Exercises GLMs for Multinomial, Ordinal, and Count Variables Introduction Analyzing Survey Data Using Multinomial Logit Regression Models Logistic Regression Models for Ordinal Survey Data Regression Models for Count Outcomes Exercises Survival Analysis of Event History Survey Data Introduction Basic Theory of Survival Analysis (Nonparametric) Kaplan¿Meier Estimation of the Survivor Function Cox Proportional Hazards Model Discrete Time Survival Models Exercises Multiple Imputation: Methods and Applications for Survey Analysts Introduction Important Missing Data Concepts An Introduction to Imputation and the Multiple Imputation Method Models for Multiply Imputing Missing Data Creating the Imputations Estimation and Inference for Multiply Imputed Data Applications to Survey Data Exercises Advanced Topics in the Analysis of Survey Data Introduction Bayesian Analysis of Complex Sample Survey Data Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis Fitting Structural Equation Models to Complex Sample Survey Data Small Area Estimation and Complex Sample Survey Data Nonparametric Methods for Complex Sample Survey Data References Appendix: Software OverviewCopyright Date2010Target AudienceScholarly & ProfessionalTopicProbability & Statistics / GeneralLccn2009-051730Dewey Decimal001.42Dewey Edition22IllustratedYesGenreMathematics

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