Data preparation
Review variable coding, missing values, data types and dataset structure before analysis.
Research methods · Quantitative data · Statistical interpretation
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
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.
Review variable coding, missing values, data types and dataset structure before analysis.
Summarise your sample and variables using suitable frequencies, measures and visualisations.
Understand test selection, assumptions and results in relation to your stated hypotheses.
Explore appropriate correlation and regression approaches when supported by the study design and data.
Review suitable reliability measures, scale construction and interpretation where applicable.
Make sense of statistical output and explain the meaning and limitations of your findings.
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.
Deliverables are agreed before work starts and depend on your brief. They may include:
Tell us about your study, research questions, dataset, software and deadline.
We clarify the methods, assumptions, deliverables and any information still needed.
You see the proposed scope, timeline and cost before deciding whether to proceed.
Support is provided against the agreed brief, with an opportunity to raise questions.
A few details to help you decide whether this support fits your project.
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.
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.
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.
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.
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.
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.
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
Tell us your research questions and what data you have. We can review the requirements and clarify a suitable next step before you order.