Sampling: Design and Analysis Table of Contents

Sampling: Design and Analysis by Sharon L. Lohr
Table of Contents 1. INTRODUCTION. A Sample Controversy. Requirements of a Good Sample. Selection Bias. Measurement Bias. Questionnaire Design. Sampling and Nonsampling Errors.

2. SIMPLE PROBABILITY SAMPLES. Types of Probability Samples. Framework for Probability Sampling. Simple Random Sampling. Confidence Intervals. Sample-Size Estimation. Systematic Sampling. Randomization Theory Results for Simple Random Sampling. A Model for Simple Random Sampling. When Should a Simple Random Sample Be Used?

3. RATIO AND REGRESSION ESTIMATION. Ratio Estimation. Regression Estimation. Estimation in Domains. Models for Ratio and Regression Estimation. Comparison.

4. STRATIFIED SAMPLING. What Is Stratified Sampling? Theory of Stratified Sampling. Sampling Weights. Allocating Observations to Strata. Defining Strata. A Model for Stratified Sampling. Poststratification. Quota Sampling.

5. CLUSTER SAMPLING WITH EQUAL PROBABILITIES. Notation for Cluster Sampling. One-Stage Cluster Sampling. Two-Stage Cluster Sampling. Using Weights in Cluster Samples. Designing a Cluster Sample. Systematic Sampling. Models for Cluster Sampling. Summary.

6. SAMPLING WITH UNEQUAL PROBABILITIES. Sampling One Primary Sampling Unit. One-Stage Sampling with Replacement. Two-Stage Sampling with Replacement. Unequal-Probability Sampling without Replacement. Examples of Unequal-Probability Samples. Randomization Theoretical Results and Proofs. Models and Unequal-Probability Sampling.

7. COMPLEX SURVEYS. Assembling Design Components. Sampling Weights. Estimating a Distribution Function. Plotting Data from a Complex Survey. Design Effects. The National Crime Victimization Survey. Sampling and Experiment Design.

8. NONRESPONSE. Effects of Ignoring Nonresponse. Designing Surveys to Reduce Nonsampling Errors. Callbacks and two-phase sampling. Mechanisms for Nonresponse. Weighting Methods for Nonresponse. Imputation. Parametric Models for Nonresponse. What is An Acceptable Response Rate?

9. VARIANCE ESTIMATION IN COMPLEX SURVEYS. Linearization (Taylor Series) Methods. Random Group Methods. Resampling and Replication Methods. Generalized Variance Functions. Confidence Intervals. Summary and Software.

10. CATEGORICAL DATA ANALYSIS IN COMPLEX SURVEYS. Chi-squared tests with Multinomial Sampling. Effects of Survey Design on Chi-Squared Tests. Corrections to Chi-Squared Tests. Loglinear Models.

11. REGRESSION WITH COMPLEX SURVEY DATA. Model-based Regression in Simple Random Samples. Regression in Complex Surveys. Should Weights be Used in Regression? Mixed Models for Cluster Samples. Logistic Regression. Generalized Regression Estimation for Population Totals.

12. OTHER TOPICS IN SAMPLING. Two-Phase Sampling. Capture-Recapture Estimation. Estimation in Domains, Revisited. Sampling for rare Events. Randomized Response.

APPENDICES. Appendix A: The Survey Program. Appendix B: Probability Concepts Used in Sampling. Appendix C: Data Sets. Appendix D: Computer Code Used for Examples. Appendix E: Statistical Tables. Appendix F: References.

(Each chapter ends with Exercises.)