April 2013 Member Webinar: Hierarchical Regressions

by Karen Grace-Martin

Hierarchical regression is a very common approach to model building that allows you to see the incremental contribution to a model of sets of predictor variables.

Popular for linear regression in many fields, the approach can be used in any type of regression model — logistic regression, linear mixed models, or even ANOVA.

In this webinar, we’ll go over the concepts and steps, and we’ll look at how it can be useful in different contexts.


Note: This webinar is an exclusive benefit for members of the Statistically Speaking Membership Program.

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.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar, plus live Q&A sessions, a private stats forum, 50+ video recordings of past webinars (including this one), and more.

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