Course Description
This doctoral‑level course develops advanced statistical competence for business research. It emphasizes statistical theory, model selection, estimation, diagnostics, and interpretation for empirical business studies. Students critically evaluate quantitative research, replicate published studies, and design statistically sound research models aligned with dissertation‑level inquiry.
This doctoral‑level course develops advanced statistical competence for business research. It emphasizes statistical theory, model selection, estimation, diagnostics, and interpretation for empirical business studies. Students critically evaluate quantitative research, replicate published studies, and design statistically sound research models aligned with dissertation‑level inquiry.
Course Learning Outcomes (Doctoral Level)
By the end of this course, doctoral candidates will be able to:
- Critically evaluate statistical methods used in peer‑reviewed business research.
- Select and justify appropriate statistical models for complex business problems.
- Apply advanced inferential, multivariate, and regression techniques.
- Diagnose, validate, and interpret statistical results with academic rigor.
- Design a dissertation‑ready quantitative research framework.
