Data Analysis Help for Thesis & PhD — SPSS, AMOS, SmartPLS, R, Python & NVivo
"Analyse my data for me" is the most common request in doctoral research — and the most dangerous to outsource blindly, because your examiners will ask you, not your analyst, to justify every test and every table. Our data analysis help pairs you with a statistician-mentor who gets the analysis done with you, so you can defend it without them.
How our data analysis help works
You bring your data, your research questions and your deadline. Your mentor — a statistician who has guided hundreds of theses — helps you choose the right tests for your questions, clean and prepare the dataset, run the analysis in the right tool, interpret the output in plain language, and write up results the way examiners and reviewers expect.
Sessions are hands-on and screen-shared: you drive, the mentor directs. By the end you don't just have results — you can explain why an independent-samples t-test and not ANOVA, why PLS-SEM and not covariance-based SEM, why your sample size is adequate, and what your p-values and effect sizes actually mean. That's exactly what the viva tests.
Quantitative and qualitative, every major tool
Quantitative: descriptive statistics, reliability and validity, t-tests, ANOVA, correlation and regression in SPSS; covariance-based SEM in AMOS; PLS-SEM, mediation and moderation in SmartPLS; and reproducible analysis in R or Python when your discipline expects it.
Qualitative: thematic analysis, coding frameworks and NVivo — from interview transcripts to a defensible theme structure. Mixed-methods scholars get help integrating both strands so the design reads as one coherent study rather than two stapled together.
Before the analysis: instruments and sample size
Half of all analysis problems are actually design problems. If you're still upstream, we help you design questionnaires that will validate, plan sampling that will satisfy reviewers, and calculate the sample size your tests genuinely need — fixing these before data collection is far cheaper than discovering them after.
Frequently asked
Can you just analyse my data for me?+
We could — but you'd fail to defend it, and defence is the whole game. Our model is faster than it sounds: most scholars get through a full thesis analysis in a handful of guided sessions, and walk into the viva able to justify every step. That's worth more than a delivered output file.
Which statistical test should I use for my research?+
It follows from your research questions, your variable types and your design — not from fashion. In a free consult, a statistician-mentor maps your questions to the right tests and tells you honestly whether your planned analysis matches your data.
Do you help with qualitative data analysis too?+
Yes — thematic analysis, grounded-theory-style coding and NVivo are core parts of our mentoring, with the same principle: you code, we guide, and your theme structure ends up genuinely defensible.
My results came out insignificant. Is my thesis ruined?+
No. Non-significant results are findings — what matters is honest interpretation and connecting them back to theory. A mentor helps you report them credibly. What we won't do is torture the data until it confesses; examiners can tell, and it's misconduct.
Ethical, compliant guidance: We provide academic support, mentoring, analysis, editing and structuring — not authorship. Your work stays compliant with university policies.
Where we can help
Mentoring services and free tools that match what scholars searching for data analysis help most often need.
Not sure where to start?
Book a free 15-minute consult. We'll map your next three steps — no obligation.