Logistic Regression Analysis with RCPA3 Package's logregC Function

*JUMP TO:* 0:01 Overview of Function's Arguments | 1:26 Example of Basic Usage | 9:03 Optional Arguments *DESCRIPTION:* This video explains how to use the logregC function in the RCPA3 package for conducting logistic regression analysis. It covers the required formula argument for specifying the regression equation and optional arguments like observation weights, model fit statistics, and residual plots. Through a detailed example, it demonstrates how to set up and interpret logistic regression results effectively, with tips for ensuring accurate dependent variable coding. *HIGHLIGHTS:* * Enhanced Interpretation: Encourages creating dummy variables for clarity, ensuring the dependent variable aligns with the intended outcome. * Odds Ratios: Demonstrates how to use the orci argument to calculate odds ratios and confidence intervals for a more substantive understanding of results. * Model Fit Statistics: Explores additional arguments (fit.stats, anova, pre) to evaluate the explanatory power of the model. * Practical Example: Analyzes the likelihood of individuals flying a flag based on age and years at address, showcasing practical application. This video is an excellent resource for researchers and analysts seeking to perform logistic regression and improve the clarity and interpretability of their results. This video supplements _An R Companion to Political Analysis, 3rd Edition_ by Philip H. Pollock and Barry C. Edwards (CQ Press, An Imprint of Sage Publications, published 2022). ISBN: 978-1071862414. https://collegepublishing.sagepub.com/products/an-r-companion-to-political-analysis-3-259266 *HELPFUL LINKS:* * Get R for Windows, Mac OS, or Linux: https://www.r-project.org/ * RCPA3 Package on CRAN: https://cran.r-project.org/package=RCPA3 * Student & Instructor Resources for Textbooks: https://edge.sagepub.com/pollock * Find Political Science Data for Research: https://www.poliscidata.com/ * More R Resources & Tutorial Videos: https://www.poliscidata.com/pages/rDemosResources.php