Random Intercept and Random Slope Models
with Karen Grace-Martin
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Mixed modeling is rarely, if ever, covered in even upper-level statistics courses.

Trying to learn it on your own is like prepping to perform your own appendectomy — and just about as painful...
 

But there IS an easier path to learning mixed models, one that researchers without a Ph.D. in statistics can understand.

In this free, one-hour webinar, “Random Intercept and Random Slope Models: Introduction to Mixed Models,” I provide a clear explanation for getting past the equations, math, and confusion that comes with mixed models as we introduce and demonstrate two of the core concepts of mixed modeling.

You'll learn:

● How Random Intercepts control for the correlation among responses from the same individual

● How a Random Intercept is not much different from adding a fixed effect to a model

● Why a Random Slope doesn't work in many designs

● And more!
 
 

The result: You’ll be on your way to understanding mixed modeling — without blood, sweat, or tears.

Yes, Give me Access to the Free Recording!
By clicking submit, you agree to be included on our mailing list,
which includes receiving our monthly eNewsletter, Statwise.
About Karen Grace-Martin
Karen Grace-Martin, the founder and president of The Analysis Factor, is a professional statistical consultant with Masters degrees in both applied statistics and social psychology. Her background in experimental research and working with real data has been invaluable in understanding the challenges that researchers face in using statistics.
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