Non-continuous regressions are a widely applied statistical technique used to predict the outcome of a dependent variable based on previous observations. These methods are useful because of their ability to answer research questions that focus on understanding the probability of a binary event occurring or dealing with issues of classification (e.g., predicting if a child will be adopted or not). Examples include predicting whether a student will pass an exam or if a marriage will end in divorce.

In this four-part webinar series, attendees will learn how to perform:

1. Logistic regression (a gentle introduction).
2. Interaction and non-linear logistic regression models.
3. Poisson regression models or modeling events where the outcomes are counts.
4. Zero-inflated models or how to model data that has an excess of zero counts.

Each webinar is approved for 1.5 hours of CFLE continuing education credit. Taking all four webinars would result in 6 hours of CFLE continuing education credit.

Webinar date: May 8, 18, 24, and 30, 2023

Single/Series Pricing: $29/$79 for NCFR student members, $49/$139 for NCFR members & CFLEs, $89/$249 for nonmembers & non-CFLEs

Register