Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences)

✍ Scribed by Scott William Menard

Publisher: Sage Publications, Inc
Year: 1995
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.

📜 SIMILAR VOLUMES

Applied Logistic Regression Analysis (Qu

📁 Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences) (v. 106)

✍ Dr. Scott Menard 📂 Library 📅 2001 🏛 Sage Publications, Inc 🌐 English

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 ex

Applied Regression: An Introduction (Qua

📁 Applied Regression: An Introduction (Quantitative Applications in the Social Sciences)

✍ Michael S. Lewis-Beck 📂 Library 📅 1980 🏛 Sage Publications, Inc 🌐 English

Applied regression allows social scientists who are not specialists in quantitative techniques to arrive at clear verbal explanations of their numerical results. Provides a lucid discussion of more specialized subjects: analysis of residuals, interaction effects, specification error, multicollineari

Applied Regression: An Introduction (Qua

📁 Applied Regression: An Introduction (Quantitative Applications in the Social Sciences)

✍ Michael S. Lewis-Beck 📂 Library 📅 1980 🏛 Sage Publications, Inc 🌐 English

Interaction Effects in Logistic Regressi

📁 Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences)

✍ Professor James J. Jaccard 📂 Library 📅 2001 🌐 English

Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equa

Quantile Regression (Quantitative Applic

📁 Quantile Regression (Quantitative Applications in the Social Sciences) (v. 149)

✍ Lingxin Hao, Daniel Q. Naiman 📂 Library 📅 2007 🌐 English

Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between th

Logistic Regression Models for Ordinal R

📁 Logistic Regression Models for Ordinal Response Variables (Quantitative Applications in the Social Sciences)

✍ Ann Aileen O'Connell 📂 Library 📅 2005 🌐 English

Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social, educational, and behavioral sciences with an accessible and comprehensive coverage of analyses for ordinal outcomes. The content builds on a review of logistic regression, and extends to details of