Longitudinal Data Analysis Using Structural Equation Modeling

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Date(s) - 02/01/2019 - 02/02/2019
9:00 am - 5:00 pm

Holiday Inn Fort Meyers


Statistical Horizons is hosting a 2-day seminar, taught by Dr. Paul Allison, titled Longitudinal Data Analysis Using Structural Equation Modeling. The course will take place in Fort Meyers, Florida from February 1-2.

This applied seminar takes a deep dive into the ML-SEM method for estimating dynamic panel models, exploring the ins and outs of assumptions, model specification, software programming, model evaluation and interpretation of results. Students will work through several real data sets in great detail, testing out alternative methods and working toward an optimal solution.

Panel data have two big attractions for making causal inferences with non-experimental data:

  • The ability to control for unobserved, time-invariant confounders.
  • The ability to determine the direction of causal relationships.

For the past ten years, Professor Paul Allison has been teaching his acclaimed two-day seminars on Longitudinal Data Analysis Using SAS and Longitudinal Data Analysis Using Stata. In this new seminar he takes up where those courses leave off, with methods for analyzing panel data using software for structural equation modeling (SEM).


This seminar is designed for those who want to analyze longitudinal data with three or more time points, and whose primary interest is in the effect of predictors that vary over time. Participant should also have a solid understanding of basic principles of statistical inference. This two day course hosted by Statistical Horizons is $995 for two days, which includes all materials. To register for the course CLICK HERE.

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