New Learning Resource for Latent Class Analysis

June 25, 2020:

Blank LCA diagram: an oval represents the latent construct. 4 arrows point from the oval to rectangles that represent the manifest variables that are used to measure the latent construct.Our newest resource helps researchers teach themselves latent class analysis. LCA allows researchers to identify unobservable, or latent, subgroups within a population. The LCA Learning Path is designed to allow SAS users to efficiently teach themselves how to plan, run, and interpret an LCA in PROC LCA for SAS.

The Learning Path allows users to select from a variety of educational resources including videos, presentation slides, web pages, and hands-on SAS exercises. This format allows researchers to access the specific content they need in the format they desire to develop their skills as quickly as possible. Content is divided into the following sections:

  • conceptual introduction,
  • detailed introduction,
  • LCA and latent transition analysis (LTA) software,
  • LCA with a grouping variable,
  • LCA with covariates, and
  • LTA.

We hope this will be a valuable tool for students and teachers alike. We also offer a TVEM Learning Path that uses a similar format.

Open the LCA Learning Path.

New Resource for Learning TVEM

simulated TVEM graphicMay 10, 2019:

Our newest resource helps scientists teach themselves how to use our time-varying effect modeling (TVEM) SAS macro. TVEM allows scientists to understand how associations between variables change over time. The TVEM Learning Path is designed to allow SAS users to efficiently teach themselves how to prepare data for, plan, and run a TVEM.

The Learning Path allows users to select from a variety of educational resources including videos, presentation slides, webpages, and hands-on SAS exercises. This format allows users to access the specific content they need in the format they desire to develop their skills as quickly as possible. Content is divided into

  • Conceptual introduction,
  • Detailed introduction,
  • Running a SAS macro,
  • Flipping data from long format to wide format,
  • Preparing to run a TVEM,
  • Running a TVEM,
  • Plotting results, and
  • Running the Weighted TVEM SAS macro.

We hope the Learning Path is useful and can be applied to other methods. Please send any thoughts, suggestions, or questions about the Learning Path to mchelpdesk@psu.edu.

Open the TVEM Learning Path.