research expertıse > methodological ınnovatıons
Our research involves advancing quantitative methods for collecting, analyzing, understanding, and interpreting data. We focus on addressing methodological issues in current research; improving new techniques; finding innovative ways of combining different methods; and new applications of traditional methods.
Recent developments in statistical methods have opened up new ways of accessing quality information for the world of social policy and intervention. We apply the modern design and analysis techniques to sophisticated multivariate data sets to study topics of substantive interest in prevention, intervention, and other behavioral, social and health sciences. 
Comparative Regression Discontinuity Design:
A New Alternative In these series of scientific publications, we test the performance of a new variant of regression discontinuity design that is considered as the best quasi-experimental approach in program evaluation. More... |
Program Evaluation Optimizing Interventions Methodological Innovations Advanced Data Analysis Systematic Reviews of Evidence |
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A doubly-robust analysis technique to handle post-intervention confounders in testing indirect effects
In this simulation study, we test the statistical performance of a new doubly-robust analysis technique in comparison to other modern methods to deal with confounding variables in testing indirect program effects. More... |
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Sensitivity plots for confounder bias in the single mediator model
In this paper, we compare and contrast three different methods for assessing sensitivity to confounding in mediation models and describe the graphical depiction of these methods. More... |