Workshop Prof. Tenko Raykov

This workshop is concerned with modern methods for evaluating model fit when analyzing longitudinal data, which are developed within the framework of the popular latent change analysis conducted using the structural equation modeling methodology. Initially, an interval estimation procedure for proportion explained observed variance in latent curve analysis is discussed, which can be used as an aid in the process of choosing between linear and nonlinear models. The method allows obtaining confidence intervals for the R-squared indexes associated with repeatedly followed measures in longitudinal studies. In addition to facilitating evaluation of local model fit, the approach is helpful for purposes of differentiating between plausible models stipulating different patterns of change over time, and in particular in empirical situations characterized by large samples and high statistical power. Then this procedure is used to analyze data from the popular nationally representative Health and Retirement Study (HRS), which is a multi-wave sociological investigation of pre-retiree preparedness for retirement in the USA.

Keywords: latent change analysis, linear change, model choice, nationally representative study, non-linear change, structural equation modeling.  

The workshop will be on the 12.06.2026 and will be from 13:30 – 17:00 Uhr.

The link to the meeting is below

https://tu-dresden.zoom-x.de/j/63670224242?pwd=lgtqmnkK4abwv42DPY7aYBb5EWU1kB.1

Meeting-ID: 636 7022 4242    Kenncode: Pz0Q4g0@