Analyzing complex survey data/
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Thousand Oaks, California:
Sage Publications,
c2006
|
| Edition: | 2nd ed. |
| Series: | Quantitative applications in the social sciences
07-071 |
| Subjects: |
Table of Contents:
- Introduction
- Sample design and survey data
- Types of sampling
- The nature of survey data
- A different view of survey data
- Complexity of analyzing survey data
- Adjusting for differential representation: the weight
- Developing the weight by poststratification
- Adjusting the weight in a followup survey
- Assessing the loss or gain in precision: the design effect
- The use of sample weights for survey data analysis
- Strategies for variance estimation
- Replicated sampling: a general approach
- Balanced repeated replication
- Jackknife repeated replication
- The bootstrap method
- The Taylor series method (linearization)
- Preparing for survey data analysis
- Data requirements for survey analysis
- Importance of preliminary analysis
- Choices of the method for variance estimation
- Available computing resources
- Creating replicate weights
- Searching for appropriate models for survey data analysis
- Conducting survey data analysis
- A strategy for conducting preliminary analysis
- Conducting descriptive analysis
- Conducting linear regression analysis
- Conducting contingency table analysis
- Conducting logistic regression analysis
- Other logistic regression models
- Design-based and model-based analysis*
- Concluding remarks.