Our research project support service works alongside teams applying to national and international funding programmes — Horizon Europe, COST, Erasmus+, World Bank, UN agency and development agency calls, and national research councils — or completing a project already under way, on the methodological backbone of the work: research design, power and sample planning, data analysis, interpretation of results, and methodological reporting with tables and figures. What a review panel questions is rarely the idea itself — it is how the idea will be tested. Our aim is a methods section clear, justified and reproducible enough to withstand that scrutiny. The project stays yours: we build the method, do the arithmetic and make it defensible.
What's included
- Research design: turning research questions and hypotheses into testable statements, choosing the design (experimental, quasi-experimental, cross-sectional, longitudinal), defining variables and measurement levels, and an analysis plan aligned with your work packages.
- Power and sample planning: a priori power analysis in G*Power, with the effect size, power (usually 0.80) and alpha (0.05) assumptions justified, and a target sample consistent with your budget and timetable.
- Instruments and data collection plan: instrument selection, a validity and reliability strategy, a pilot proposal, plus a data dictionary and coding scheme.
- Data analysis: assumption checks, descriptives, hypothesis tests, regression, ANOVA/MANOVA, multilevel models, structural equation modelling, time-series work and, where the design calls for it, qualitative or mixed-methods analysis.
- Interpretation: coefficients and effect sizes explained in plain language, limitations written honestly, and findings tied back to the project's stated objectives.
- Methodological reporting: tables, figures, methods and results text in APA 7 or the format the call requires — output that drops straight into progress and final reports.
- Reproducibility: SPSS syntax, Stata do-files or R/Python scripts, with a record of which output came from which code.
How we work
- Scoping: we read your draft proposal, the call text, the work packages and the timetable, agree which stages you want covered, and send a scoped fixed quote within one working day.
- Design and preparation: hypotheses are made testable, the analysis plan and power analysis are written; where data already exist we clean, code and check assumptions, documenting every transformation.
- Analysis and interpretation: models are run, assumptions verified and results interpreted in plain English alongside the statistics; in an interim call we go through what each number means.
- Reporting and aftercare: methods and results text, tables, figures and code are delivered, and we support revisions when panel, reviewer or monitoring feedback arrives.
What you receive at each project stage
| Project stage | Deliverable | Software |
|---|---|---|
| Proposal writing | Research design, hypotheses and a justified analysis plan | — |
| Sample justification | A priori power analysis and target sample size report | G*Power |
| Instruments and pilot | Instrument appraisal, reliability and validity checks | SPSS, R |
| Data preparation | Cleaned dataset, data dictionary, assumption-check report | SPSS, Stata, R |
| Main analysis | Model output, effect sizes and confidence intervals | SPSS, Stata, Mplus, SmartPLS |
| Progress / final report | APA 7 tables, figures and methods–results text | — |
| Publication output | Journal-formatted results section and reviewer-response support | — |
Where projects most often need methodological help
Related guides
If you would rather build the method yourself, these free guides are a good starting point: sample size and power analysis with G*Power, which statistical test to choose and the APA 7 statistical reporting checklist.
Frequently Asked Questions
How long does research project support take?
It depends on the stage at which support is needed. Design and power analysis at the proposal stage are usually finished within a few days; analysing and reporting collected data takes longer, depending on the size of the dataset and the number of models. After scoping we share a firm timetable that fits the call's submission deadline.
How is the price determined?
Pricing follows scope: which stages you want covered, the number of analyses, the size of the data and the depth of reporting. Once we have seen your draft and your expectations we send a scoped fixed quote within one working day — no hourly or open-ended billing.
Are my project data and my idea safe?
Yes. We sign a non-disclosure agreement on request; the proposal, data and outputs are shared only with the team member working on them. The process is aligned with UK GDPR and KVKK, and all files are deleted on completion if you ask.
Is this ethical, and how do we start?
This is methodology and statistics consulting: we build the method with you, run the analysis and report the results clearly, while scientific responsibility and authorship remain entirely with the researcher — we do not run the project in your place. To start, use the contact form or message us on WhatsApp; once we have seen your draft and the call text we reply within one working day.