Research Methodologies

I stand apart for my creative, rigorous, and wide use of research designs—fit to solve the challenge—and I am not constrained by any research traditions (qualitative/quantitative/conceptual debate)

Statistics and Analytics

-Regression (linear, binomial logistic, multinomial, difference-in-differences)
-Structural Equation Modeling 
-Chi-square tests, Wald tests, ANOVA, surveys, archival 
-Descriptive and predictive analytics, e.g., K-means cluster analysis, decision trees

Qualitative Methods

Interviews, grounded theory, content analysis, manual coding, open-ended surveys, case analysis

Strategic Technology & Programming

Webscraping, Robotics Process Automation (RPA), Multiple Imputation (MI), Python

Theory

-Conceptual and verbal theorizing (causal reasoning is main mechanism)
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-Moving beyond predictive analytics, I propose that data + theorizing + vision = prescriptions