“Very easy to understand without oversimplifying some of the more advanced concepts.”

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 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.
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.  

"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!
Learn the different types of missing data and the ideal approach to take in any situation. 
Ready to  begin to analyze categorical outcome variables? Take a deeper dive into the three types of logistic regression models.

“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 interchangable. 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.
Be on your way to mastering Mixed Models – without it being a painful experience. Join us as we take a deep dive into all aspects of these models, in ways that we know were not covered in your statistics class.
“Thank you so much. You are one heck of a teacher!”

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. 
Do you want to reduce the amount of time you spend using Stata? Join us as we explore different commands and resources to help you create accurate analyses in significantly less time. 
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