with Karen Grace-Martin

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, Karen will provide 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.

- 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!

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