Splines provide a useful way to model relationships that are more complex than a simple linear function. They work with a variety of regression models.
Membership Webinars
Member Training: Cubic Splines
July 2nd, 2025 by TAF Support
Member Training: Introduction to Data Analysis using R Tutorial
June 12th, 2025 by TAF Support
This month we are featuring a 9-module software tutorial by Kim Love: An Introduction to Data Analysis using R.
It’s perfect for people who:
- have never used R before
- need to refresh their R skills after not using it for while
- have figured out R on their own and would like a more systematic tutorial
Member Training: Interpreting (Even Tricky) Regression Coefficients Workshop
April 1st, 2025 by Karen Grace-Martin
In April and May, we’re doing something new: including in membership the workshop Interpreting (Even Tricky) Regression Coefficients with Karen Grace-Martin.
We’ll be releasing the first 3 of 6 modules in April and modules 4-6 in May and holding a special Q&A with Karen at the end of each month.
If you’ve ever wanted to know how to interpret your results or set up your model to get the information you needed, you’ll love this workshop.
Although it’s at Stage 2 and focuses entirely on linear models, everything applies to all sorts of regression models — logistic, multilevel, count models. All of them.
Member Training: Confirmatory Factor Analysis
March 3rd, 2025 by TAF Support
Member Training: Exploratory Factor Analysis
February 1st, 2025 by Karen Grace-Martin
Many variables we want to measure just can’t be directly measured with a single variable. Instead you have to combine a set of variables into a single index.
But how do you determine which variables to combine and how best to combine them?
Exploratory Factor Analysis.
EFA is a method for finding a measurement for one or more unmeasurable (latent) variables from a set of related observed variables. It is especially useful for scale construction.
In this webinar, you will learn through three examples an overview of EFA, including:
- The five steps to conducting an EFA
- Key concepts like rotation
- Factor scores
- The importance of interpretability
Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.
About the Instructor
Karen Grace-Martin helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.
She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor. She has master’s degrees in both applied statistics and social psychology and is an expert in SPSS and SAS.
Just head over and sign up for Statistically Speaking. You'll get access to this training webinar, 130+ other stats trainings, a pathway to work through the trainings that you need — plus the expert guidance you need to build statistical skill with live Q&A sessions and an ask-a-mentor forum.Not a Member Yet?
It’s never too early to set yourself up for successful analysis with support and training from expert statisticians.
Member Training: Introduction to Binary Logistic Regression
December 3rd, 2024 by TAF Support
Binary logistic regression is one of the most useful regression models. It allows you to predict, classify, or understand explanatory relationships between a set of predictors and a binary outcome.
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