Categorical data analysis for the behavioral and social sciences / Razia Azen, Cindy M. Walker.
Featuring a practical approach with numerous examples, this book focuses on helping the reader develop a conceptual, rather than technical, understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analyses and emphasi...
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Full Text (via ProQuest) |
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| Format: | eBook |
| Language: | English |
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New York :
Routledge,
©2011.
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Table of Contents:
- Introduction and overview
- Probability distributions
- Proportions, estimation, and goodness-of-fit
- Association between two categorical variables
- Association between three categorical variables
- Modeling and the generalized linear model
- Log-linear models
- Logistic regression with continuous predictors
- Logistic regression with categorical predictors
- Logistic regression for multicategory outcomes.