WinLTA for Latent Transition Analysis Public

WinLTA is a free-standing Windows application for conducting LCA and LTA.

README

WinLTA for Latent Transition Analysis

Overview

WinLTA is a free-standing Windows application for conducting LCA and LTA.

  • free-standing Windows application
  • latent class analysis or latent transition analysis
  • multiple-groups LCA or LTA
  • data augmentation (DA)

Data augmentation (DA), a Gibbs sampling-based procedure, is available in WinLTA for obtaining standard errors of parameter estimates. See the following article for more information on DA:

Lanza, S. T., Collins, L. M., Schafer, J. L., & Flaherty, B. P. (2005). Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis. Psychological Methods, 10, 84-100.

Downloads

  • WinLTA for Windows (v. 3.1): Setup_WinLTA.zip
  • Users' Guide: mainmanual.pdf
  • Documentation for Included Examples: examples.pdf
  • Release Notes: WinLTA_3_Release_Nites.pdf
  • Users' Guide for Data Augmentation: DAmanual.pdf
  • Data Aggregation Program: DataAgg.zip
  • Data Aggregation Program Users' Guide: DataAggTR.pdf

Recommended Citations

Data augmentation (DA), a Gibbs sampling-based procedure, is available in WinLTA for obtaining standard errors of parameter estimates. See the following article for more information on DA:

Lanza, S. T., Collins, L. M., Schafer, J. L., & Flaherty, B. P. (2005). Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis. Psychological Methods, 10, 84-100.

License

See LICENSE.txt

Items in this Work