This webinar will build on the Introduction to Logistic Regression by exploring the many uses of logistic regressions, give an overview of non-linear logistic regression models, and to practice what has been learned. Specifically, attendees will learn how to examine the interaction between a continuous and a categorical predictor variables, while also learning about how to examine the non-linear relationship between dependent and independent variables.
To assist in meeting this goal, a detailed handout will be provided that includes a step-by-step guide on preparing, implementing, and interpreting results from a logistic regression. Although this can be directly applied to existing research studies, a fictional dataset will also be included for attendees to practice the skills being taught.
Overall, attendees will leave this webinar with the ability to:
- Explain the fundamentals of interaction and non-linear logistic regressions
- Describe how interaction and non-linear models can be used in family science research
- Perform interaction and non-linear logistic regressions in statistical software
- Interpret the results of interaction and non-linear logistic regressions
Approved for 1.5 hours of CFLE continuing education credit.
Webinar date: May 18, 2023
Fee: $29 for NCFR student members / $49 for NCFR members & CFLEs / $89 for nonmembers & non-CFLEs
Register