Analyzing complex survey data / Eun Sul Lee, Ronald N. Forthofer, Ronald J. Lorimer.

Includes bibliographical references (pages 75-78).

1. Introduction -- 2. Sample design and survey data -- Types of sampling -- The nature of survey data -- 3. Survey data analysis -- Adjusting for differential representation: the weight -- Developing the weight: an example -- Assessing loss or gain of precision: the design effect -- 4. Strategies for variance estimation -- Replicated sampling: a general approach -- Balanced repeated replication -- Jackknife repeated replication -- The Taylor series method -- 5. Preparing for survey data analysis -- Importance of preliminary analysis -- Choices of the method for variance estimation -- Data requirements for weights and the design effect -- Available computing resources -- 6. Conducting a regression analysis -- The linear model for complex survey data -- An example of regression analysis from NHANES II -- 7. Conducting contingency table analysis -- The weighted least squares method for complex survey -- The WLS method: an example from NHANES II -- Log-linear models for complex survey data -- Log-linear (logit) models: an example from NHANES II -- WLS method and log-linear models: which to use? -- 8. Concluding remarks.