From epistemological framing and psychometric validity to reproducible econometric modeling in R and Python—augmented by a live, Socratic AI Research Coach.
Designed for doctoral researchers, strategy consultants, and empirical analysts demanding publication-grade rigor.
Transition from broad topic interest to a tight, defensible research question using FINER and PICO frameworks. Conduct reproducible literature synthesis using PRISMA protocols and bibliometric network mapping.
Experimental, quasi-experimental, longitudinal, and mixed-method designs. Statistical power analysis, sample size calculation, and mitigating selection bias.
Latent construct operationalization, Exploratory & Confirmatory Factor Analysis (EFA/CFA), Cronbach's alpha, composite reliability, and common method variance (CMV).
GLM, panel data econometrics, Structural Equation Modeling (SEM), mediation/moderation analysis, and reproducible Quarto reporting pipelines.
Structuring IMRaD manuscripts for Q1/FT50 journals, crafting point-by-point reviewer response memos, and publishing open-source data/code packages.
Stress-test your hypothesis, select the right statistical estimator, or simulate a Q1 journal peer review.