Description |
viii, 111 pages : illustrations ; 22 cm |
Series |
Sage university papers. Quantitative applications in the social sciences ; no. 07-106 |
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Quantitative applications in the social sciences ; no. 07-106
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Contents |
Machine derived contents note: Series Editor's Introduction -- Author's Introduction to the Second Edition -- 1. Linear Regression and Logistic Regression Model -- 2. Summary Statistics for Evaluating the Logistic Regression Model -- 3. Interpreting the Logistic Regression Coefficients -- 4. An Introduction to Logistic Regression Diagnosis -- Ch 5. Polytomous Logistic Regression and Alternatives to Logistic Regression -- 6. Notes -- Appendix A -- References -- Tables -- Figures |
Summary |
"The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included."--Pub. desc |
Bibliography |
Includes bibliographical references (pages 108-110) |
Notes |
Print version record |
Subject |
Logistic distribution.
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Regression analysis.
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Logistic Models.
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Regression Analysis.
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Social Sciences -- methods.
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LC no. |
2001019806 |
ISBN |
0761922083 (acid-free paper) |
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