This book provides an 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 examples the analysis of survey data.
This book provides an 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 examples the analysis of survey data.
Produktdetails
Produktdetails
Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Steve G. Heeringa is a research scientist in the Survey Methodology Program, the director of the Statistical and Research Design Group in the Survey Research Center, and the director of the Summer Institute in Survey Research Techniques at the University of Michigan's Institute for Social Research. Brady T. West is a Research Associate Professor in the Survey Research Center at the University of Michigan's Institute for Social Research. He is also a statistical consultant on the Consulting for Statistics, Computing, and Analytics Research (CSCAR) team at the University of Michigan. Patricia A. Berglund is a senior research associate in the Youth and Social Indicators Program and Survey Methodology Program in the Survey Research Center at the University of Michigan's Institute for Social Research.
Inhaltsangabe
Preface Applied Survey Data Analysis: An Overview Getting to Know the Complex Sample Design Foundations and Techniques for Design-based Estimation and Inference Preparation for Complex Sample Survey Data Analysis Descriptive Analysis for Continuous Variables Categorical Data Analysis Linear Regression Models Logistic Regression and Generalized Linear Models for Binary Survey Variables Generalized Linear Models for Multinomial, Ordinal and Count Variables Survival Analysis of Event History Survey Data Analysis of Longitudinal Complex Sample Survey Data Imputation of Missing Data: Practical Methods and Applications for Survey Analysts Advanced Topics in the Analysis of Survey Data Appendix A: Software Overview
Preface Applied Survey Data Analysis: An Overview Getting to Know the Complex Sample Design Foundations and Techniques for Design-based Estimation and Inference Preparation for Complex Sample Survey Data Analysis Descriptive Analysis for Continuous Variables Categorical Data Analysis Linear Regression Models Logistic Regression and Generalized Linear Models for Binary Survey Variables Generalized Linear Models for Multinomial, Ordinal and Count Variables Survival Analysis of Event History Survey Data Analysis of Longitudinal Complex Sample Survey Data Imputation of Missing Data: Practical Methods and Applications for Survey Analysts Advanced Topics in the Analysis of Survey Data Appendix A: Software Overview
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