Statistical Analysis
From raw data to results you can explain.
A study design you can justify line by line, before you collect any data.
Most problems that surface at analysis or peer review begin in the design. We work with you on the question, the framework, the sample and the measures, and we write the reasoning down so it can go straight into your proposal or protocol.
When the study tests hypotheses and the sample has to be justified in advance.
When depth matters more than representativeness, with a stated reason for stopping.
When numbers alone, or interviews alone, cannot answer the question.
When the field or journal expects a public plan before data collection.
1
You describe the project through the request form or a call. No data are needed at this stage.
2
We review the design and agree the deliverables, exclusions, timeline and fee in writing.
3
The assigned consultant does the work and records methods, assumptions and changes.
4
A second specialist reviews the methods and outputs before release.
5
You receive the deliverables, the code and a walkthrough session, with the agreed revision rounds.
As early as you can. One conversation before data collection is worth more than weeks of repair afterwards. We also review designs that are already under way.
We recommend a design and explain the reasoning and the trade-offs. The decision is yours, and you should be able to defend it.
Yes. We advise on the methods sections, data handling and consent materials. You submit the application and remain the responsible researcher.
By scope. After a first conversation we send a written scope and a quotation.
From raw data to results you can explain.
Models for forecasting, causal questions and large datasets.
Questionnaires and scales that measure what they claim to.
Describe the project in a few minutes. Complex research is quoted after scoping, never from a price list.