Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)
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Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)

by Fred C. Pampel

Social Sciences Mathematics
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Logistic Regression: A Primer by Fred C. Pampel introduces the essentials of logistic regression within the Quantitative Applications in the Social Sciences series. Designed for social scientists, it covers the basics of analyzing binary outcomes, offering clear guidance for practical application in research settings.

About This Book

Logistic Regression: A Primer is part of the Quantitative Applications in the Social Sciences series, providing an accessible entry point to logistic regression techniques.

Authored by Fred C. Pampel, the book focuses on the fundamentals of modeling binary dependent variables in social science contexts.

It serves as a practical resource for researchers and students seeking to understand and implement logistic regression without advanced prerequisites.

The primer emphasizes straightforward explanations and applications relevant to social sciences.

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I will be using this book for: