Analyzing complex survey data /
In this introduction to the different ways of analysing complex survey data, the authors consider new analytical approaches review new software and introduce a model-based analysis that can be used for well-designed and relatively small-scale social surveys.
| Основен автор: | Lee, Eun Sul. |
|---|---|
| Други автори: | Forthofer, Ron N., 1944- |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Thousand Oaks, Calif. :
Sage Publications,
2006.
|
| Издание: | 2nd ed. |
| Серия: |
Quantitative applications in the social sciences ;
no. 07-71. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=294619 |
| Подобни документи: |
Print version::
Analyzing complex survey data. |
Съдържание:
- 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.