Ordinal log-linear models /
What log-linear models can social scientists use to examine categorical variables whose attributes may be logically rank-ordered? In this book, the author presents a technique that is often overlooked but highly advantageous when dealing with such ordered variables as social class, political ideolog...
| Основен автор: | Ishii-Kuntz, Masako. |
|---|---|
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Thousand Oaks, Calif. :
Sage Publications,
℗♭1994.
|
| Серия: |
Quantitative applications in the social sciences ;
no. 07-097. |
| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=24767 |
| Подобни документи: |
Print version::
Ordinal log-linear models. |
Съдържание:
- 1. Introduction
- Ordinal measures
- Log-linear models for nominal variables: a review
- Log-linear models for two-way tables
- 2. Ordinal log-linear models
- Row effects models
- Column effects model
- Uniform association models
- Assignment of scores
- Row and column effects model (the RC model)
- Odds ratios for two-way tables: summary
- Ordinal log-linear models for higher ordered tables
- Multidimensional log-multiplicative models
- Odds ratios for three-way log-linear models: summary
- Selection for ordinal log-linear models
- Advantages of using ordinal log-linear models.