| Description |
1 online resource (xii, 283 pages) : illustrations |
| 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 |
| Summary |
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 emphasize specific research questions that can be addressed by each analytic procedure so that readers are able to address the research questions they wish to answer |
| Bibliography |
Includes bibliographical references (pages 275-276) and index |
| Notes |
English |
|
Print version record |
| Subject |
Social sciences -- Statistical methods.
|
|
MATHEMATICS -- Probability & Statistics -- Multivariate Analysis.
|
|
Social sciences -- Statistical methods
|
| Form |
Electronic book
|
| Author |
Walker, Cindy M., 1965-
|
| ISBN |
9780203843611 |
|
0203843614 |
|
128303705X |
|
9781283037051 |
|
9781136914249 |
|
1136914242 |
|
9781136914195 |
|
1136914196 |
|
9781136914232 |
|
1136914234 |
|
9786613037053 |
|
6613037052 |
|
