Quantitative consulting service
Build a quantitative analysis plan you can defend
Align research questions, constructs, variables, design, and analysis before the workflow becomes expensive to change.
Question→Design→Data→Model→Diagnostics→Interpretation
When this support is useful
At proposal, protocol, or pre-analysis stage when the study logic is not yet explicit.
- What is the estimand?
- Do the variables answer the question?
- Which assumptions need contingencies?
How the decision is approached
The workflow starts with the research question and data-generating structure. Methods and software follow from that logic, with assumptions, alternatives, and failure modes recorded before conclusions are polished.
- Question-to-variable mapping
- Design and sampling review
- Pre-specified analysis plans
What a defensible handover can include
Deliverables are agreed to fit the decision and the people who must review or continue the work. They are not a fixed bundle of software output.
- Statistical Analysis Plan
- Decision table
- Pre-analysis checklist
Start with the decision
Discuss this statistical decision
Bring the research question, design, or existing output. A first review can identify the next statistical decision and the information needed to scope it.