Supervisor-Ready Results, Fast.
StatForge helps MBA, Masters & Doctoral candidates de-risk their research with defensible methods, clean data, reproducible analysis, and publication-standard tables — so your work stands up to scrutiny and moves forward with confidence.
Defensible methods
Diagnostics, assumptions, robustness, and clear justification.
Supervisor-ready outputs
Clean data, code, tables/figures, and interpretation notes.
Fast, calm execution
Clear scope, fixed deliverables, and transparent timelines.
Ethical support only: we provide analysis, coaching, and reproducible outputs — not writing/ghostwriting.
Supporting candidates from leading institutions: WBS, GIBS, UCT GSB, Stellenbosch, Henley, Milpark, UNISA SBL
We align analyses to your programme requirements and supervisor expectations.
What you’ll hand to your supervisor
Concrete, forwardable deliverables — not vague “analysis done” claims
A short methods memo
Plain-English justification of method choice, key assumptions, risks, and how you addressed them — written for supervisor review.
Report-ready tables & figures
APA/Harvard-ready tables and clean visuals with clear labels — structured so you can write the Results section efficiently.
Reproducible code + clean dataset
A clean analysis dataset and reproducible scripts/notebooks (R / Python / SPSS / AMOS as required) so your work stands up to scrutiny.
Engagement Options
Start with the Risk Review, then scale up to full analysis only if it’s justified.
Research Design & Econometric Risk Review
Fixed-fee, senior review to de-risk your approach before you invest in full analysis.
- 60–90 minute structured call
- Pre-read: proposal + data description (sent beforehand)
- Identify fatal flaws and methodological risks
- Clarify model choice and identification strategy (where relevant)
- Written memo: risks, fixes, and next steps
Analysis Execution (Supervisor-Ready)
Clean, correct results and deliverables you can write up confidently.
- Data quality review (missingness, outliers, coding issues)
- Cleaning + analysis-ready dataset
- Assumptions & diagnostics (fit for purpose)
- Core model(s) aligned to your research questions
- Report-ready tables/figures (APA/Harvard-ready)
- Reproducible scripts/notebooks (R / Python / SPSS / AMOS)
- Support for supervisor feedback and targeted revisions
Research Pro (Advanced + Robust)
For complex research where robustness, measurement quality, and deeper back-and-forth are required.
- SEM/CFA (incl. reliability/validity + measurement notes)
- Panel methods / GMM where appropriate
- Robustness aligned to your context (not checkbox stats)
- Walkthrough session + optional recording for revision support
- Extended support for supervisor feedback cycles
Best for: supervisor-driven iterations, complex measurement models, or projects where the methods section needs to withstand detailed challenge.
Extensions & Revisions
When you already have results but need improvements, additional tests, or supervisor-requested changes.
- Model refinement and re-specification
- Additional variables, interactions, or robustness checks
- SEM multi-group / invariance (where relevant)
- Updated tables/figures + clean write-up notes
- Supervisor feedback response support (methods-focused)
Not sure what you need? Book a Risk Review first — it’s the quickest way to get clarity and avoid wasted analysis.
How Our Process Works
The sooner you get us involved, the more we can assist
Formulate the research objectives
- • Responsibility: Researcher
Questionnaire Design
- • Responsibility: Researcher
- • Note: We can guide you on measure selection
Sampling Design & Sample Size
- • Responsibility: Researcher
- • Note: We can guide you on sample selection
Research Design
- • Responsibility: Researcher
- • Note: We can guide you on optimal research design
Collecting Data
- • Responsibility: Researcher
- • Note: Please enquire about the correct format
Data Capturing
- • Responsibility: Researcher
Statistical Analysis
- • Responsibility: Statistician
Summary Report
- • Responsibility: Statistician
Report Results
- • Responsibility: Researcher
Review Finalised Statistical Section of Article
- • Available on request
Formulate the research problem
- • Responsibility: Researcher
Questionnaire Design
- • Responsibility: Researcher
- • Note: Design and layout (not development)
Sampling Design & Sample Size
- • Responsibility: Statistician
Experimental Design
- • Responsibility: Statistician
Collecting Data
- • Responsibility: Researcher
- • Note: Please enquire about the correct format
Data Capturing
- • Responsibility: Researcher
Statistical Analysis
- • Responsibility: Statistician
Summary Report
- • Responsibility: Statistician
Report Results
- • Responsibility: Researcher
Review Statistical Section of Article
- • Responsibility: Statistician
StatForge follows a rigorous consultation workflow aligned with leading academic standards. Final write-up review is available on request (add-on).
How We Work
A calm, professional process designed for defensibility
Scope
You share your question, variables, data, and constraints. We confirm the right approach and deliverables.
Prepare
Data checks, cleaning, and a clear analysis plan aligned to your supervisor’s expectations.
Analyse + Validate
Models, diagnostics, and robustness — focused on conclusions you can defend.
Handover
Supervisor-ready outputs + support for feedback cycles and targeted revisions.
Request a Quote
Tell us what you’re working on. We’ll respond with scope, deliverables, timeline, and pricing.
FAQs
Clear answers — no ambiguity
What do you actually deliver?
Clean analysis-ready data, reproducible code, report-ready tables/figures, and plain-English interpretation notes you can confidently defend. We also support revisions when your supervisor asks for changes.
Do you write dissertations or do assignments?
No. We provide ethical analysis and coaching support only. You remain responsible for the writing and academic submission.
How fast can you turn work around?
Typical timelines for the initial analysis phase: Analysis Execution is often ~1–2 weeks, and Research Pro is typically 2–4+ weeks depending on complexity and data readiness. Complex projects commonly require multiple feedback cycles with your supervisor and can run over several weeks to a few months. Rush work (24–48 hours) is possible for tightly scoped tasks where capacity allows.
Which tools do you use?
R (incl. lavaan), SPSS, AMOS, and Python. We match your programme requirements and provide outputs in your preferred platform where feasible.
Who leads the work?
All work is led by Dr. Michael Pietersen (PhD, University of Pretoria), specialising in quantitative methods and SEM. You can view academic background and publications on Google Scholar.
How does payment work?
To reserve capacity and begin, we require a 50% deposit. The remaining balance is due on completion and delivery of agreed outputs.
Do you offer editing or language support?
StatForge focuses exclusively on quantitative analysis and methodological support. For thesis editing or language refinement, we recommend the professional editors listed below. View our recommended editors →
Editing & Language Support
StatForge focuses exclusively on quantitative analysis and methodological support. For thesis editing or language refinement, we recommend the professional editors listed below.
OneStopSolution.co.za provide professional editing services for dissertations and theses, and have the resources, experience, and skills to ensure that your document exceeds the required style and language standards for examination.
Email: Wynand@OneStopSolution.co.za
Website: OneStopSolution.co.za