March 2013 Member Webinar: Exploratory Factor Analysis

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 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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