Analysis across fourteen platforms, delivered with the interpretation that turns output into a chapter.
Software will give you a p-value in four seconds. Explaining what it means for your hypothesis is the actual work.
Any tool will report a coefficient. Knowing whether the assumption checks passed, whether the model is identified, whether the effect size means anything in your field — that is different work, and it is the work an examiner will question.
We deliver the analysis and the reasoning together, then walk you through every table until you could present it without us.
On the quantitative side: reliability and validity, factor analysis, SEM and PLS-SEM, regression, mediation and moderation, ANOVA and MANOVA, non-parametric tests, time series, meta-analysis.
On the qualitative side: coding frameworks, thematic analysis and inter-coder agreement in NVivo, ATLAS.ti or MAXQDA — with the audit trail that makes the analysis reproducible.
| What you receive |
|---|
| Cleaned dataset with a coding sheet |
| Editable output and syntax files |
| Publication-ready tables and figures |
| Written interpretation of every table |
| A recorded walkthrough session |
| Reviewer-response support if the paper comes back |
Yes, always — the .sav, the syntax or script, the model file, the exported tables. If a provider only sends you a PDF of results, you cannot rerun anything, and you cannot answer the question 'what happens if you drop that item?'
It is normal. Cleaning, coding, missing-value treatment and outlier decisions are part of the work, and every decision gets documented so it can be defended.
No. We analyse what the data says. If the hypothesis is not supported, that is a finding, and a well-argued non-significant result is entirely publishable. Anyone offering guaranteed significance is offering to fabricate data.
Send your topic, your dataset or one draft chapter. We will tell you honestly what it needs — before you pay anything. The first consultation is free.