Quantitative Analysis
Descriptives through multivariate modelling — regression, ANOVA/MANOVA, SEM, multilevel and time-series — with assumption checks documented at every step.
Learn more →Statistical consultancy for academia — London, UK
Celsus provides methodological and statistical support for journal articles, national and international research projects and reviewer revisions — from study design and data analysis through the interpretation of findings to reporting in your target journal's format.
Areas of expertise
The scope is built only from the services your study actually requires.
Descriptives through multivariate modelling — regression, ANOVA/MANOVA, SEM, multilevel and time-series — with assumption checks documented at every step.
Learn more →Thematic, content and framework analysis in NVivo or MAXQDA, plus convergent and explanatory mixed-methods designs with transparent coding audit trails.
Learn more →Study design, power/sample planning, data analysis, interpretation of results, tables and figures, and methodological reporting for Horizon Europe, COST, Erasmus+, World Bank, UN agency and development agency projects.
Learn more →Chapter-by-chapter support: methodology drafting, sample-size justification, results chapters written around your university's rubric and viva-ready explanations.
Learn more →PRISMA-compliant search strategies, screening logs, effect-size pooling, heterogeneity and publication-bias diagnostics in RevMan.
Learn more →Publication-grade figures — forest plots, path diagrams, interaction plots — built in matplotlib and seaborn, delivered with reproducible scripts.
Learn more →Results sections, tables and figures formatted to APA 7 or your target journal's house style — including reviewer-response support after submission.
Learn more →Time-series, panel and causal models — unit root, ARDL, cointegration, GARCH, fixed/random effects, GMM and IV — estimated in Stata or EViews with a full diagnostic battery.
Learn more →How it works
We read your proposal, instruments and data dictionary, then agree the analysis plan, deliverables and timeline in writing — before any work begins.
Cleaning, missing-data handling, reliability and validity checks — every transformation logged so your methodology chapter writes itself.
Models are run, assumptions verified and results interpreted in plain language alongside the statistics, so you understand — and can defend — every number.
You receive formatted tables, figures, syntax/scripts and a narrative results section, plus revision support for committee feedback or peer review.
Why Celsus
Academic work demands more than correct output. It demands a defensible trail from raw data to conclusion — and discretion at every step.
“Good statistics don't just pass review — they make the argument unanswerable.”
— The Celsus working principle
Start a project
Send a short outline — topic, design, sample, deadline — and we'll reply with a scoped plan and fixed quote, usually within one working day.