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Applied Survey Data Analysis: Overview | |
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Introduction | |
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A Brief History of Applied Survey Data Analysis | |
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Example Data Sets and Exercises | |
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Getting to Know the Complex Sample Design | |
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Introduction | |
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Classification of Sample Designs | |
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Target Populations and Survey Populations | |
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Simple Random Sampling: A Simple Model for Design-Based Inference | |
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Complex Sample Design Effects | |
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Complex Samples: Clustering and Stratification | |
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Weighting in Analysis of Survey Data | |
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Multistage Area Probability Sample Designs | |
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Special Types of Sampling Plans Encountered in Surveys | |
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Foundations and Techniques for Design-Based Estimation and Inference | |
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Introduction | |
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Finite Populations and Superpopulation Models | |
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Confidence Intervals for Population Parameters | |
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Weighted Estimation of Population Parameters | |
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Probability Distributions and Design-Based Inference | |
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Variance Estimation | |
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Hypothesis Testing in Survey Data Analysis | |
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Total Survey Error and Its Impact on Survey Estimation and Inference | |
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Preparation for Complex Sample Survey Data Analysis | |
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Introduction | |
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Analysis Weights: Review by the Data User | |
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Understanding and Checking the Sampling Error Calculation Model | |
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Addressing Item Missing Data in Analysis Variables | |
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Preparing to Analyze Data for Sample Subpopulations | |
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A Final Checklist for Data Users | |
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Descriptive Analysis for Continuous Variables | |
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Introduction | |
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Special Considerations in Descriptive Analysis of Complex Sample Survey Data | |
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Simple Statistics for Univariate Continuous Distributions | |
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Bivariate Relationships between Two Continuous Variables | |
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Descriptive Statistics for Subpopulations | |
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Linear Functions of Descriptive Estimates and Differences of Means | |
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Exercises | |
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Categorical Data Analysis | |
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Introduction | |
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A Framework for Analysis of Categorical Survey Data | |
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Univariate Analysis of Categorical Data | |
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Bivariate Analysis of Categorical Data | |
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Analysis of Multivariate Categorical Data | |
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Exercises | |
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Linear Regression Models | |
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Introduction | |
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The Linear Regression Model | |
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Four Steps in Linear Regression Analysis | |
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Some Practical Considerations and Tools | |
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Application: Modeling Diastolic Blood Pressure with the NHANES Data | |
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Exercises | |
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Logistic Regression and Generalized Linear Models (GLMs) for Binary Survey Variables | |
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Introduction | |
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GLMs for Binary Survey Responses | |
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Building the Logistic Regression Model: Stage 1, Model Specification | |
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Building the Logistic Regression Model: Stage 2, Estimation of Model Parameters and Standard Errors | |
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Building the Logistic Regression Model: Stage 3, Evaluation of the Fitted Model | |
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Building the Logistic Regression Model: Stage 4, Interpretation and Inference | |
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Analysis Application | |
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Comparing the Logistic, Probit, and Complementary Log-Log GLMs for Binary Dependent Variables | |
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Exercises | |
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GLMs for Multinomial, Ordinal, and Count Variables | |
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Introduction | |
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Analyzing Survey Data Using Multinomial Logit | |
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Regression Models | |
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Logistic Regression Models for Ordinal Survey Data | |
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Regression Models for Count Outcomes | |
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Exercises | |
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Survival Analysis of Event History Survey Data | |
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Introduction | |
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Basic Theory of Survival Analysis | |
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(Nonparametric) Kaplan-Meier Estimation of the Survivor Function | |
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Cox Proportional Hazards Model | |
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Discrete Time Survival Models | |
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Exercises | |
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Multiple Imputation: Methods and Applications for Survey Analysts | |
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Introduction | |
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Important Missing Data Concepts | |
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An Introduction to Imputation and the Multiple Imputation Method | |
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Models for Multiply Imputing Missing Data | |
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Creating the Imputations | |
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Estimation and Inference for Multiply Imputed Data | |
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Applications to Survey Data | |
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Exercises | |
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Advanced Topics in the Analysis of Survey Data | |
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Introduction | |
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Bayesian Analysis of Complex Sample Survey Data | |
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Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis | |
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Fitting Structural Equation Models to Complex Sample Survey Data | |
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Small Area Estimation and Complex Sample Survey Data | |
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Nonparametric Methods for Complex Sample Survey Data | |
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References | |
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Appendix: Software Overview | |