Research Data Analysis
Statistical analysis for theses, dissertations and funded studies, run in the package your discipline expects and written up so you can defend every number.
What Our Research Data Analysis Service Covers
Research data analysis support for dissertation, thesis and wider academic enquiry, structured the way a research assistant works alongside a principal investigator. We join at the design stage to help match method to hypothesis, then run the descriptive and inferential analysis, factor analysis, structural equation modelling, logistic and ordinal regression in SPSS, STATA, R, SAS, AMOS or JASP, according to the convention your discipline follows. Results return as publication ready tables with a written interpretation in APA, Harvard or your faculty house style, alongside a methods note and the syntax file behind every figure. The argument stays yours to make and defend, which is precisely why we document the reasoning rather than handing over a result on its own. The same support extends to funded research teams, institutional studies and independent researchers preparing work for peer review.
What's Included
Every engagement is scoped in writing, but these are the deliverables you can expect as standard.
Method selection
A short written rationale matching each research question and hypothesis to the test that actually fits your design and data.
Descriptive and inferential analysis
Assumption checks, regression, ANOVA, factor analysis and structural equation modelling in SPSS, STATA, R, SAS, AMOS or JASP.
Publication ready tables
Tables and figures formatted to APA, Harvard or your faculty house style, ready to drop into your results chapter.
Written interpretation
Plain language commentary on what each result means, what it does not show, and how it links back to your literature.
Syntax and methods note
The full syntax or script behind every figure, plus a methods note you can adapt for your methodology chapter.
Defence preparation
A walkthrough session so you can explain your analysis confidently to a supervisor, examiner or review panel.
Built for Teams Like Yours
If any of these sound familiar, this service is a good place to start.
- Masters and PhD candidates working on a thesis or dissertation
- Academic staff preparing papers for peer review
- Funded research teams and institutional studies
- NGOs and consultancies running baseline or endline surveys
From Brief to Delivery
- 01
Share your design
Send your proposal, research questions and dataset or instrument. We confirm what the data can support before any work starts.
- 02
Agree the analysis plan
You receive a written plan listing each test, the software and the outputs, with a fixed price and delivery date.
- 03
Run and document
We clean, analyse and write up, checking in when a result raises a question you should decide on.
- 04
Review and revise
Revisions requested by you or your supervisor on the agreed scope are included until the chapter is signed off.
Research Data Analysis FAQs
Will you write my thesis for me?
No. We run and document the analysis and explain the results. The argument and the writing remain yours, which is also what keeps your work defensible.
Which statistical package should I use?
Usually the one your department or target journal expects. If there is no convention we recommend one based on your design and share the syntax either way.
Can you help if my data is already collected?
Yes. Most projects arrive with data in hand. We review it first and tell you honestly which of your planned analyses it can support.
