Jordan Boulger

Reliability is the key to achieving 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? Learn to identify the type of factor you are working with no second-guessing.

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.

"Listening to your webinars is a much easier way of brushing up than trying to reread through my grad school books.”

Kara Snoke, Biostatistician

Learn to run lengthy, repetitive tasks in Stata quickly and easily by setting up these two useful Stata tools in a do-file.

Do you want to know how to use SPSS syntax for data manipulation and analyses? You will witness all the advantages that come with using syntax, especially one that is already built-in!

“The webinars are a great way to learn or refresh on a particular topic area.”

Frances Aranda

Interpret the regression coefficients table from a real data set. In this webinar you will see how our experts approach coefficients that are often times tricky to interpret.

Despite the way the terms are used in common English, odds and probability are not interchangeable. Join us to see how they differ, what each one means, and how to tame that tricky beast: Odds Ratios.

Get the road map for your data analysis before you begin. Learn how to make any statistical modeling – whether ANOVA, Linear Regression, Poisson Regression, Multilevel Model – systematic and more efficient.

Dan Lofald, Teacher Educator

Statistical software doesn't always give us the effect sizes we need. Learn some of the common analyses in which effect sizes are used and the ways to calculate them yourself.

This is a one-hour demonstration for new and intermediate Stata users on how to simplify your next analysis in Stata.

Are you analyzing data from a nationally representative survey? Learn about the different types of sampling techniques and their effects on data analysis.

Get beyond the frustration of learning odds ratios, logit link functions, and proportional odds assumptions on your own. See the incredible usefulness of logistic regression and categorical data analysis in this one-hour webinar recording.

Ready to take your statistics proficiency to the next level? Learn all about Generalized Linear Mixed Models and how to apply it to your data analysis!

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