Random Intercept and Random Slope Models

Karen provides a clear explanation for getting past the equations, math, and confusion that come with mixed models as she introduces and demonstrates two of the core concepts of mixed modeling.

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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