Statistical data analysis services

Statistical data analysis services for theses and journal articles

Clean data, the right tests and clear results. Our statisticians analyze your data in SPSS, R or STATA and write the findings so reviewers and examiners can follow them.
Strictly confidentialPlagiarism report includedSubject-matter experts

Choosing the right test and reporting it correctly

Many manuscripts are sent back for revision because the statistics do not match the study design. We start from your research question and your data, confirm that the assumptions are met, and choose methods you can defend in front of reviewers or a thesis committee.

We work with survey data, clinical and experimental data, secondary datasets and repeated measures. Every output is explained in plain language, so you understand what the numbers mean and can answer questions about them.

Who this is for

What our data analysis service includes

Data cleaning and preparation

Missing values, outliers, coding and assumption checks handled and documented before any test is run.

Descriptive and inferential tests

T-tests, ANOVA, chi-square and non-parametric alternatives, matched to your design and data.

Regression and modelling

Linear, logistic, ordinal, multilevel and survival models with diagnostics and effect sizes.

Factor analysis and SEM

Exploratory and confirmatory factor analysis, structural equation modelling, reliability and validity of scales.

Tables, figures and write-up

Formatted tables, clear charts and a results section written in thesis or journal style.

Reproducible outputs

Syntax or scripts and annotated output so every number can be traced and rerun.

How the work runs

01

Share data and question

Send your dataset, research questions and any supervisor or reviewer comments.
02

Plan the analysis

We propose an analysis plan and confirm it with you before we begin.
03

Run and check

Models are run, assumptions are tested and results are cross-checked.
04

Report and explain

You receive tables, figures and a written explanation you can defend.

What you receive

Standards and tools

Analyses follow accepted statistical practice and the reporting conventions of your field and target journal.

SPSSRStudioSTATAExcelPythonAPA reporting style

Frequently asked questions

Can you analyze data I have already collected?
Yes. Send the dataset and a brief description of your research questions. We check data quality first and tell you if anything affects what can be concluded.
Which statistical software do you use?
SPSS, R, STATA, Excel and Python. We use the software that suits your design, or the one your supervisor or target journal expects.
Can you explain the results so I can defend them?
Yes. Each analysis comes with a plain-language explanation of what was done, why, and how to read the output, which helps with a viva or reviewer questions.
Do you help with sample size and power calculations?
Yes, when you are still planning your study. We can advise on sample size, power and the most suitable design for your question.
What file formats can I send?
Excel, CSV, SPSS, STATA and R data files are all fine. Please remove personal identifiers before sending, and read our confidentiality commitments on the About page.

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Ready to move your research toward publication?

Send your draft, data or topic and our team will reply with a clear scope and quote.