Assignment Discussion

Discussion: Logistic Regression Values

This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes. These can all be confusing terms but the good news is that all these values have some relationship to each other. Researchers have their own opinions on which values makes the most sense to report.

In a 2- to 3-paragraph post, construct a persuasive argument for the value (conditional probability, odds, odds ratio, etc.) that, intuitively, makes the most sense for you to report as a result to your audience. Be sure to provide a specific rationale for your choice.

Some possible resources

Osborne, J. W. (2015). Best practices in logistic regression. Thousand Oaks, CA: SAGE Publications.
Best Practices in Logistic Regression, 1st Edition by Osborne, J. Copyright 2015 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center.These PDF’s are Attached

Chapter 1, “A Conceptual Introduction to Bivariate Logistic Regression” (PDF)

Chapter 2, “How Does Logistic Regression Handle a Binary Dependent Variable?” (PDF)

Datasets

Laureate Education (Producer). (2017e). Creating a contingency table in Microsoft Excel [Video file]. Baltimore, MD: Author.
NOTE: Or use readings that provide simple examples that demonstrate important aspects of logistic regression, including how logistic regression is distinct from ordinary least squares (OLS) regression and how it is much more effective than OLS regression in predicting dichotomous variables.

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APA 354 words