Jason W. Osborne's Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne's applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.

A Conceptual Introduction to Bivariate Logistic Regression

So you want to research something really interesting?

Let's say you want to research something interesting and important, like why students drop out of school before completing their degree, why people choose to use illicit drugs, what predicts whether an individual will die from a particular cause, whether a citizen will vote, or whether a consumer will purchase a particular type of product.

How would you do it? To be sure, researchers have been examining these types of outcomes for as long as curious people have been using scientific methods. But if they are not using logistic or probit regression (or similar procedure), odds1 are they are not getting the most from their data.

Throughout the book, I will use ...

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