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Our research focuses on applications and extensions of latent variable modeling (factor analysis and structural equation modeling (SEM)), multilevel modeling (MLM), missing data and meta-analysis. One particular research interest is in the design and analysis of data from planned missing data designs.
We are also interested in developing programs that institute advanced methods in a user friendly manner with the statistical language R.