Introduction to LCA with Bethany Bray

The Methodology Center develops methods for design and data analysis in the social, behavioral, and health sciences. Our design projects include methods for
• adaptive interventions,
• just-in-time adaptive interventions for mHealth, and
• optimizing interventions.
Our analysis projects include development and extension of
• latent class models,
• time-varying effect models,
• methods for intensive longitudinal data, and
• models for selecting candidate variables in data sets with huge numbers of variables (like genetic data).
If you are interested in seeing videos related to any of these topics, please let us know in the comments.
Learn more about LCA at methodology.psu.edu/ra/lca.
The Pennsylvania State University © 2016

[@ravenrinas]

Great to have this explained in an understandable manner with relevant examples. Thank you!

[@dashacochran5594]

Great video. Thank you for the conceptual explanation!

[@tiagozortea527]

Amazing introduction to the topic. Thanks very much!

[@stephamir2502]

Thank you, this is what I was looking for!

[@gabitroyano]

Thanks for the class! It was really helpfull.

[@ramchandracheke]

Thank you !

[@emanalhalal485]

I conducted latent class analysis, but I am not sure about the result. The probabilities of some classes were 1.000 and the p-value is also 1.00. I want to figure out the problem.

[@lenaschweizer421]

I still struggle with the difference between cluster analysis and latent class/profile analysis. When should I use what?

[@havefun1614]

tnx!! really helpful♡

[@ademarbenitezaranjo8299]

thanks ¡