Ready to take your statistics proficiency
to the next level?

Introducing: Generalized Linear Mixed Models (GLMM)

Join Kim Love as she walks through an overview of Generalized Linear Mixed Models and find out how to apply this to your own data analysis!

This webinar will teach you how to achieve soundness in measurements that have potential for error. Not only will you learn about why reliability matters, but also the different types and how to apply them. 
What is the difference between fixed and random factors in Mixed Models?  This webinar will help you identify the type of factor you are working with in a matter of seconds.
Learn exactly when you need to use Poisson or Negative Binomial Regression in your analysis, how to interpret the results, and how they differ from similar models.
Summarize common variation in many variables... into just a few! Learn the 5 steps to conduct a Principal Component Analysis and the ways it's different from Factor Analysis.  
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