August 2015 Member Webinar: Latent Class Analysis

by Karen Grace-Martin

Latent Class Analysis is a method for finding and measuring unobserved latent subgroups in a population based on responses to a set of observed categorical variables.

This webinar will present an overview and an example of how latent class analysis works to find subgroups, how to interpret the output, the steps involved in running it.  We will discuss extensions and uses of the latent classes in other analyses and similarities and differences with related techniques.


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 live, weekly live Q&A sessions, a private stats forum, 60+ recordings of past webinars (including this one), and more.

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