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Statistical Analysis
SPSS & R
Methodology Review
Results Interpretation
Data Visualisation
Sample Size Calculation
Statistical Analysis
SPSS & R
Methodology Review
Results Interpretation
Data Visualisation
Sample Size Calculation
Methodology & Data

Expert Statistical Analysis Support

Rigorous, peer-review-ready statistical analysis and methodology support — ensuring your data tells its story correctly, completely, and with scholarly authority.

Expert Statistical Analysis Support

Poor statistical analysis is one of the top reasons manuscripts are rejected or require major revision. Peer reviewers are specifically trained to identify methodological weaknesses — inappropriate tests, insufficient sample sizes, misinterpreted results, or missing confidence intervals.

Our statistical analysis support service pairs your research with a qualified statistician and domain expert who will ensure your data tells its story correctly, completely, and in language that satisfies even the most rigorous peer review.

What We Cover

  • Quantitative data analysis — descriptive, inferential, multivariate
  • Qualitative data analysis — thematic, content, grounded theory
  • Mixed-methods analysis and integration
  • Regression analysis (linear, logistic, multiple, hierarchical)
  • Survival analysis (Kaplan-Meier, Cox proportional hazards)
  • Structural equation modelling (SEM) and path analysis
  • Meta-analysis and systematic review statistics
  • ANOVA, MANOVA, repeated measures, and factorial designs
  • Bayesian statistical methods
  • Sample size and power calculations
  • Results interpretation and write-up in plain academic language
  • Figures, graphs, tables, and charts — publication-ready format

Software We Use

  • SPSS — the most widely used in social and health sciences
  • R / RStudio — for advanced statistical computing and visualisation
  • Stata — econometrics, epidemiology, and panel data
  • SAS — biostatistics and pharmaceutical research
  • Python (statsmodels, scipy) — data science and machine learning
  • AMOS / SmartPLS — structural equation modelling
  • NVivo / ATLAS.ti — qualitative analysis software

The Process

1

Data Review

We review your dataset, research questions, and methodology section to understand what analysis is required and whether the data is adequate for your claims.

2

Analysis Plan

We propose a statistical analysis plan — the tests to be used, justification for each, and expected outputs. You approve before we proceed.

3

Analysis & Interpretation

We run the full analysis, interpret all outputs, and create publication-ready tables, figures, and narrative summaries of findings.

4

Methodology Write-Up

We write or revise your methodology and results sections to accurately reflect the statistical approach and findings.

Related Services

🔬 Data Audit

Not sure if your data supports your claims? We offer a standalone data audit for £99 — assessing dataset quality, sample size adequacy, and recommended statistical approach.

Ready to Publish?

Start with a free consultation — our experts will recommend the right service for your research goals.

Scopus Indexed
Web of Science SCI/SSCI/ESCI
PubMed Indexed
Google Scholar
DOAJ Compliant
CrossRef DOI
J-Gate Indexed
14+ Years Excellence
PhD Qualified Editors
Scopus Indexed
Web of Science SCI/SSCI/ESCI
PubMed Indexed
Google Scholar
DOAJ Compliant
CrossRef DOI
J-Gate Indexed
14+ Years Excellence
PhD Qualified Editors