Quantitative Analysis Support
Support aligning your objectives, dataset, statistical approach and reporting.
- Analysis plan
- Output review
- Reporting guidance
Choose the right analysis, identify patterns and interpret your findings in relation to your research question.

Choose the starting point that best matches what you need now.
Build the understanding you need before making the next decision.
Work from your variables and design instead of memorising a table.
Know what each variable is doing before you model anything.
Report precision, not just significance.
A plain explanation of what a small p-value does and does not tell you.
How to report an imprecise result without claiming there is nothing there.
Judge whether an effect matters in practice.
Build claims your quotes support, theme by theme.
What saturation means and what it does not justify.
Plan qualitative sample size you can defend.
Estimates, intervals and interpretation instead of a list of p-values.
Use practical tools to complete a defined piece of the work.
Start from a useful structure instead of a blank page.
Test the quality and readiness of what you have produced.
Choose a focused service when a template or tool is not enough. Scope and price are confirmed before work begins.
Support aligning your objectives, dataset, statistical approach and reporting.
Support moving from transcripts and codes to defensible themes and findings.
A focused review of what your estimates, patterns and uncertainty support you to claim.