Types of Regression Models: Training Seminar
18 Types of Regression Models — What They Are and When to Use Them
Linear, Logistic, Tobit, Cox, Poisson, Zero Inflated… The list of regression models goes on and on before you even get to things like ANCOVA or Linear Mixed Models.
In this seminar, we will explore types of regression models, how they differ, how they’re the same, and most importantly, when to use each one.
Pick the Right Model: Different regression models are designed for different types of data, designs, and research questions. Knowing the characteristics and assumptions of each model will help you choose the one that best fits your data and research objectives.
Interpret Correctly: Each regression model has its own set of coefficients and assumptions. Knowing the nuances of these models allows you to interpret the coefficients correctly, providing meaningful insights into the relationships between variables.
Avoid Bad Results: Using an inappropriate regression model can lead to misinterpretation of results and flawed conclusions. Knowing when to apply specific models prevents you from drawing inaccurate inferences.
I’m Karen Grace-Martin, your instructor.
Having a broad understanding of different regression models empowers you to make informed choices, ensuring your analyses are accurate, reliable, and aligned with the characteristics of your data.
Learn about 18 types of regression models, how they differ, how they’re the same, and most importantly, when to use each one.
Karen Grace-Martin MA, MA
In this seminar training for each regression model you’ll learn:
- The types of variables, designs, and research questions they answer
- Main features and how to interpret results
- Key Assumptions you’re making when you use it
- And more!
Who Should Attend?
This seminar is for researchers like you.
Sooner or later, you’re going to have to answer a research question that needs one of the many types of regression models.
The seminar is crafted for researchers and analysts conducting statistical analyses for research studies, but it also applies to data scientists, program evaluators, business and policy analysts, and healthcare professionals.
Types of Regression Models is a Stage 3 topic and part of Extensions of Linear Models. Regression is where advanced statistics starts to branch away from the foundations. Everything you learn here applies to higher level modeling.
How Does It Work?
In this seminar, we’re digging deeply into one topic for just one session.
This is a recorded, online training with instructor Karen Grace-Martin.
Often, our participants report they understand the material at a deeper level on a second or third pass. You’ll learn more every time, so take advantage of it!
About Your Instructor
Hi, I’m Karen Grace-Martin, your instructor.
As founder of The Analysis Factor, I’ve been supporting researchers like you through their statistical planning, analysis, and interpretation since 1997.
My goal is to help you improve your statistical literacy so you can bring your important research results into the light with confidence.
Karen Grace-Martin MA, MA
Your Satisfaction Is Guaranteed
As with all of our programs, your satisfaction is guaranteed. Your registration fee is fully refundable for up to 30 days after purchase. If you participate fully in the tutorial – watch, read, and try out what is included – and find you are not satisfied, we will give you a full refund. Just notify us within 30 days of purchasing the program.