Understand your data.
Then defend it.
The statistics chapter is where confident writers go quiet. We coach you through SPSS, R and NVivo in your own dataset, or review analysis you have already run, so you can explain every decision in your viva.
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We teach the analysis. We do not do it.
Plenty of services will take your dataset, run your tests and email you a results chapter. That is not a grey area: it is completing part of your assignment, it breaches your university's regulations, and in England it is a criminal offence under the Skills and Post-16 Education Act 2022.
So we work the other way round. You keep hold of the software and the dataset. We sit alongside you, explain what each decision does to your results, and make sure you can answer for every one of them when an examiner asks.
What that looks like
Two ways to work, both of them yours to submit
- Coaching: live sessions where you run the software and we explain the reasoning
- Method review: written feedback on analysis you have already completed
Neither produces a results chapter for you. Both leave you able to write one.
The parts students actually get stuck on
Sessions are shaped around your project, not a fixed syllabus. These are the areas we are asked for most.
Choosing the Right Test
The question that sinks most quantitative chapters. We work through your hypotheses, variables and assumptions until you know which test applies and why.
SPSS, Step by Step
Live sessions in your own dataset: setting up variables, running the procedure, and reading what the output is actually telling you.
R and Statistical Scripting
For students who need reproducible analysis. We build the script together and explain each line, so you can defend it in a viva.
NVivo and Thematic Coding
Coding frameworks, node structures and the leap from codes to themes: the stage where most qualitative projects lose their thread.
Method Review
You have run the analysis. We check whether the method fits the question, whether the assumptions hold, and whether the write-up says what the numbers support.
Reporting to Convention
APA statistical reporting, table and figure formatting, and the difference between a result that is significant and one that matters.
Sessions in your data, not a worked example
Generic tutorials fall apart the moment your variables look nothing like the ones on screen. Every session runs in your own dataset, on your own research question, at whatever stage you have reached.
- You share your screen and drive the software throughout
- Every step explained in plain terms, then again in the language your write-up needs
- Written notes after each session, so nothing depends on memory
From stuck to submitted
Four steps, and you own the analysis at every one of them.
Tell us where you are stuck
Send your research question, your dataset structure and the stage you have reached. No files with participant data at this point.
Fixed quote in 1 hour
We confirm how many sessions the work needs and what each covers, in writing, before anything is booked.
Work through it together
Live sessions with a subject-matched analyst. You drive the software, we explain the reasoning at every step.
Defend it on your own
You finish able to explain every decision in your methods chapter, because you made each one yourself.
If the methods chapter is the one you keep putting off
Students reach us at every stage: some before collecting anything, some with a finished dataset and no idea what to do with it, some the week before submission with output they cannot interpret.
- Undergraduates facing a quantitative project for the first time
- Master's students whose taught stats module did not cover their design
- Nursing and health students working with PICO, PRISMA or clinical data
- Qualitative researchers coding interviews in NVivo
- PhD candidates preparing to defend their analysis in a viva
What you'll receive
After every session, by email
- Written notes covering each decision and why it was made
- Your annotated syntax, script or coding framework
- A short list of what to do before the next session
- Reporting templates matched to your referencing style
Priced per session, not per package
Book only what you need. Most students find two or three sessions is enough, and we will say so rather than sell you more.
Standard
60 minutes, one-to-one
per session
- Live session in your own dataset
- Written notes afterwards
- Annotated syntax or script
- Follow-up questions by email
Plus
Method review · 48-hour written feedback
per chapter
- Test choice checked against your question
- Assumptions and reporting verified
- Written notes on what to change
- One follow-up session at half price
Complete
Structure, analysis, write-up
for three sessions
- Everything in Standard
- Same analyst throughout
- Reporting templates included
- Priority booking around your deadline
Three sessions booked together save £15 against the single-session rate. Sessions run over video call and are recorded for you on request. Blocks of six or more are quoted at a further discount.
Our Guarantee
Every order, regardless of size, is delivered with the same values.
We Never Run It For You
Coaching and review only. Analysis submitted as your own must be analysis you performed, and we will not cross that line for anyone.
On-Time Sessions
Booked slots are honoured. If we ever miss one, the session is free and rescheduled at your convenience.
Analysts Who Have Examined
Sessions are led by postgraduate-qualified researchers who have supervised and marked quantitative and qualitative dissertations.
Your Data Stays Yours
Anonymised extracts only, handled under GDPR-compliant processes and deleted 30 days after your final session.
Frequently Asked Questions
No, and this is the one thing we will not negotiate on. Producing the analysis that appears in your dissertation would mean completing part of your assignment for you, which breaches university regulations and, in England, the Skills and Post-16 Education Act 2022. We teach you to run it, and we review what you have run. You perform the analysis.
No. Most students who come to us have never used it. A first session usually covers getting your data into the right shape, which is where the majority of problems start, long before any test is run.
SPSS, R, NVivo and Excel for the majority of student work. We also take Stata, Jamovi and MAXQDA sessions on request. Tell us what your department uses when you enquire.
Yes, that is the method review. We look at whether the test suits your question, whether the assumptions were met, and whether your write-up claims more than the output supports. You get written notes on what to change and why.
Usually not. Most sessions work from your screen while you drive the software. Where we do need a file, send an anonymised extract with all identifying participant details removed, in line with your ethics approval.
Most students book two or three. One to get the data structured and the approach settled, one to run the analysis, and often a third to check the write-up. We will give you an honest estimate in your quote rather than sell you a package.
Ready to stop dreading the stats?
Tell us your research question and where you have got stuck. A fixed quote comes back within one working hour.
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