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Member Training: Plot Estimated Marginal Means in R

Estimated marginal means (EMMs)—sometimes called least-squares means—are a powerful way to interpret and visualize results from linear and mixed-effects models. Yet many researchers struggle to extract, understand, and plot them.

In this 60-minute hands-on tutorial, participants will le...

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Member Training: Outliers and Influential Points

Outliers. There are as many opinions on what to do about them as there are causes for them.

But there is a lot of bad advice out there about what to do with outliers.

In this training, we’ll take a step back and explore how to thin...

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Member Training: Marginal Models for Repeated Measures Data

Repeated measures ANOVA doesn’t cut it for many repeated measures situations, but do you always need mixed models instead?

There is another option that for many designs works better than either RM ANOVA or mixed models: marginal models.
In this training, you’ll gain a clear, practical understanding of marginal statisti...

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Essentials of Craft: How to Become a Skilled and Confident Statistical Analyst

After over 25 years of helping researchers hone their statistical skills to become better data analysts, I’ve had a few insights about what that process looks like.

The one thing you don’t need to become a great data analyst is some innate statistical genius. That kind of fixed mindset will undermine the growth in your statistical skills.

So to start yo...

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Getting Started with Stata Tutorial #13: Changing variable labels using label, encode, and decode 
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