Crossed and Nested Factors Training Seminar
Understand the difference between crossed and nested factors in multilevel, mixed models, and ANOVA
You know you need to understand your design in order to accurately analyze your data. When it comes to knowing the difference between crossed and nested factors, things can get confusing fast.
You may have felt it. The frustration of not being sure which factors are crossed and which are nested. And not understanding how that affects your analysis.
And you care about getting your analysis right. And you know this matters.
Let’s discuss this in plain English, using real examples, so that you can finally understand Crossed and Nested Factors…
I’m Karen Grace-Martin, your instructor.
Navigating mixed models involves more than just recognizing nested structures like students within classes or observations within subjects. The designs can get very intricate, and when they do, distinguishing which factors are crossed and which are nested becomes pivotal.
Join to learn the distinction between crossed and nested factors. We’ll dissect real study designs to work through which factors are crossed, nested, or somewhere in between. You’ll see examples in classic designs such as split plots, Latin squares, and hierarchical data.
Karen Grace-Martin MA, MA
In this live, online seminar, you’ll learn:
- How to differentiate between crossed and nested factors
- How to dissect a design using real-life examples
- Implications on data analysis based on these factors
- How to identify and understand these factors within your own designs
- And more!
Who is this for?
This seminar is for researchers like you.
Crossed and Nested Factors is essential knowledge if you’re running multilevel models, mixed models, or ANOVA.
The seminar is crafted for researchers and analysts conducting statistical analyses for research studies, but it also applies to data scientists, program evaluators, business and policy analysts, and healthcare professionals.
Crossed and Nested Factors is a Stage 2 topic and part of mastering linear models. You’ll need this to build a strong foundation for advanced statistics. Everything you learn here applies to higher level modeling.
How Does It Work?
In this seminar, we’re digging deeply into one topic. Learn it in one afternoon.
Details:
- Location: Watch the pre-recorded session whenever it works for you
- Length: Just over 2.25 hours
- Instructor: Karen Grace-Martin
- Stage: 2 Linear Models
- Pathway Step: 2 Design your Study
About Your Instructor
Hi, I’m Karen Grace-Martin, your instructor.
As founder of The Analysis Factor, I’ve been supporting researchers like you through their statistical planning, analysis, and interpretation since 1997.
My goal is to help you improve your statistical literacy so you can bring your important research results into the light with confidence.
Karen Grace-Martin MA, MA
Your Satisfaction Is Guaranteed
As with all of our programs, your satisfaction is guaranteed. Your registration fee is fully refundable for up to 30 days after purchase. If you participate fully in the tutorial – watch, read, and try out what is included – and find you are not satisfied, we will give you a full refund. Just notify us within 30 days of purchasing the program.