Latent class analysis /
Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales.
| Основен автор: | McCutcheon, Allan L., 1950-2016. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Newbury Park, Calif. :
Sage Publications,
℗♭1987.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-064. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24732 |
| Подобни документи: |
Print version::
Latent class analysis. |
Съдържание:
- 1. The logic of latent variables
- Basic orientation
- What is latent class analysis?
- General outline of presentation
- 2. Latent class analysis
- Local independence
- The formal latent class model
- Maximum likelihood estimation
- 3. Estimating latent categorical variables
- Exploratory latent class analyses
- Confirmatory latent class analysis
- 4. Analyzing scale response patterns
- Models with errors of measurement
- Goodman's scale model
- 5. Comparing latent structures among groups
- Simultaneous latent structure model
- Heterogeneous T-class model
- Homogeneity models
- 6. Conclusions.