Planning a study
Shape the question, design, measures, analysis plan, and sample before data collection.
Explore study planning
Statistical consulting for quantitative research
Quantitative research you can defend.
Expert support for consequential quantitative decisions, from study planning and sample size through analysis, validation, interpretation, and reporting.
Start with a non-confidential summary. No files required.
Services by research stage
Start with the situation you are in
Choose a path now. If your question spans more than one stage, we can help identify the right starting point.
Working with data
Check data quality, select and diagnose the model, then interpret and report the results.
Explore data analysisReviewing existing work
Get an independent review of code, output, assumptions, or AI-assisted analysis.
Explore statistical audit
Who we help
Research support matched to your context
Researchers, research teams, and institutions need methods that fit the question, evidence, and decisions at stake.
Explore support by research contextResearchers and graduate researchersPlanning, analysis, reviewer response, and handover.
Faculty and research teamsSpecialist depth, quality review, and temporary capacity.
Institutional and corporate researchDefensible analysis and stakeholder-ready reporting.
How the work proceeds
Know what happens at every stage
Share the context
Bring the research question, current stage, and decision that needs support.
Confirm fit and scope
Agree the inputs, responsibilities, milestones, and intended handover.
Work through decisions
Review evidence, methods, diagnostics, and interpretation at documented milestones.
Receive a handover
Leave with clear findings, limitations, next actions, and reproducible materials when in scope.
Responsible quantitative support
The researcher remains the owner and decision-maker
Support is built around explanation, review, and transparent collaboration, not fabricated results, hidden coursework completion, or misrepresented authorship.
Read the research-integrity standardQuestionDesignDataModelEvidence
A useful first message
Not sure which analysis you need?
Bring your question, design, or existing output. We can identify the next statistical decision before agreeing a larger scope.
Discuss your research
Start with a non-confidential summary. No files required.