Quantitative and qualitative data-analysis support for postgraduate dissertation and research work — from statistical setup to results-chapter interpretation.
International university students, undergraduate and postgraduate
How it is delivered
Expert-guided, with independent QC review
Our approach
Guidance, review and mentoring for your own work
Response
We aim to reply within one working day
Strongest tools
SPSS, Excel, R, Stata and Python for quantitative analysis. NVivo, Atlas.ti and thematic-analysis support for qualitative projects where suitable experts are available.
Statistical practices we guide
01
Descriptive statistics
02
Reliability testing
03
Correlation and regression
04
t-tests and ANOVA
05
Chi-square and non-parametric tests
06
Factor analysis basics
07
Advanced methods only where expert fit is confirmed
Qualitative support
Coding framework, themes, interpretation and write-up guidance. We do not fabricate qualitative data or synthesise results from data we have not seen.
Ready to talk it through?
Send us your brief, share your rubric, or just tell us where you’re stuck. We’ll come back with how we’d guide the work.