Research methods · Quantitative data · Statistical interpretation

Data Analysis & Statistical Support for Your Research

Make informed decisions about your data and understand what your results mean. Get practical support with data preparation, statistical analysis and interpretation for dissertations, theses and research projects.

Your research remains yours. We focus on transparent, appropriately scoped support.

What we can help with

Analysis that starts with your research questions

The right analysis depends on your objectives, variables, sampling approach and data quality. We begin by understanding those details instead of applying a statistical test by default.

Data preparation

Review variable coding, missing values, data types and dataset structure before analysis.

Descriptive statistics

Summarise your sample and variables using suitable frequencies, measures and visualisations.

Hypothesis testing

Understand test selection, assumptions and results in relation to your stated hypotheses.

Relationships and prediction

Explore appropriate correlation and regression approaches when supported by the study design and data.

Reliability and measurement

Review suitable reliability measures, scale construction and interpretation where applicable.

Results interpretation

Make sense of statistical output and explain the meaning and limitations of your findings.

Software we can work with

Tell us what you already use or what your department requires. The software and method are selected to fit the task—not the other way around.

SPSS
R / RStudio
Python
Stata
Microsoft Excel

What you can receive

Deliverables are agreed before work starts and depend on your brief. They may include:

  • ✓A prepared or reviewed dataset, where agreed
  • ✓Analysis outputs and relevant statistical tables
  • ✓Charts or figures suitable for explaining results
  • ✓Plain-language explanations of methods and findings
  • ✓Guidance for reporting results in your research

A clear process, before you commit

  1. 1

    Share your brief

    Tell us about your study, research questions, dataset, software and deadline.

  2. 2

    Review the scope

    We clarify the methods, assumptions, deliverables and any information still needed.

  3. 3

    Receive a quote

    You see the proposed scope, timeline and cost before deciding whether to proceed.

  4. 4

    Work and review

    Support is provided against the agreed brief, with an opportunity to raise questions.

Frequently asked questions

A few details to help you decide whether this support fits your project.

Which statistical software can you support?+

Depending on your project requirements, support may include SPSS, R and RStudio, Python, Stata and Microsoft Excel. Tell us which software you are using, or share your requirements if you are unsure which tool is suitable.

What types of statistical analysis can I request?+

Depending on your research questions, data and study design, support may include descriptive statistics, data cleaning, cross-tabulations, correlation, regression, hypothesis testing, reliability analysis and suitable visualisations. The appropriate method is confirmed after reviewing your brief.

Can you help interpret my SPSS or other statistical output?+

Yes. You can request help understanding output tables, statistical significance, effect sizes, assumptions and what the findings do—and do not—show in relation to your research questions.

What should I send when requesting a quote?+

Share your research topic or questions, study design, dataset or a description of its structure, software preference, institution's requirements and deadline. Remove names, student numbers and other personal identifiers before sharing data.

How much does research data analysis support cost?+

The cost depends on dataset size and condition, the methods required, the number of research questions and the deadline. We review the scope and confirm the deliverables and quote before work begins.

Can you guarantee a significant result or a particular grade?+

No. Statistical results depend on the data, study design and assumptions. We do not alter, fabricate or selectively report findings to obtain a preferred result, and we cannot guarantee grades or research outcomes.

Will the analysis comply with my university's academic-integrity rules?+

Our support is intended to help you understand your methods and findings. You remain responsible for your research and submitted work. Tell us your institution's rules so the scope can be agreed in a way that supports compliance.

Start with your research brief

Not sure which analysis you need?

Tell us your research questions and what data you have. We can review the requirements and clarify a suitable next step before you order.