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Dr. Scott’s area of focus is research methodology. Within research methodology, he has particular interests in causal inference, measurement theory, structural equation modeling, longitudinal data analysis, multilevel models, missing data, exploratory data analysis, empirical resampling, and Monte Carlo methods. Dr. Scott has had the pleasure of working alongside researchers from a variety of fields providing support in the application of quantitative research methods.
Curriculum Vitae (CV)
Dr. Scott currently teaches Basic Statistics for Evidence-Based Practice, the first and second parts of the graduate course sequence in Applied Parametric and Non-Parametric Statistics, and the doctorate-level course in Research Measurement.