Quantitative Data Analysis Service (SPSS, Stata)
Quantitative data analysis service in SPSS and Stata: descriptive to multivariate, assumptions documented, publication-ready results for theses.
Analysis services scoped to your research questions and your target journal's expectations, prepared with peer-review rigour.
Quantitative data analysis service in SPSS and Stata: descriptive to multivariate, assumptions documented, publication-ready results for theses.
Econometric analysis service for theses and journal articles: panel data, time series, ARDL, cointegration, GARCH and IV models in Stata or EViews, with full diagnostics.
Qualitative data analysis service in NVivo and MAXQDA: thematic, content and framework analysis, intercoder reliability and mixed-methods support.
Methodology and statistics support for national and international research projects: research design, power and sample planning, analysis, interpretation and reporting-ready tables and figures.
Thesis statistics consulting: methodology drafting, G*Power sample-size justification, results to your rubric, viva-ready support, reproducible syntax.
PRISMA 2020 meta-analysis service: search strategy, dual screening, effect-size pooling, I² and publication-bias diagnostics. Reproducible RevMan output.
Publication-grade data visualisation service: forest plots, path diagrams, interaction plots. Reproducible, journal-spec figures in matplotlib and seaborn.
APA statistics reporting service: results sections, tables and figures in APA 7 or your journal's house style, plus reviewer-response support.