I will run and explain your dissertation statistics in r, spss, or python
About this Gig
Doctoral statistics, done correctly and reproducibly without a single Zoom call unless you want one.
I work exclusively with EdD/PhD (education), DNP (nursing), and MPH/public-health doctoral students on the quantitative side of the dissertation: choosing the right test and defending the choice, checking the assumptions your committee will ask about, and delivering APA-formatted tables and figures with the accompanying script.
I analyze, explain, the statistics; you write your dissertation. Committees allow statistical consulting this is that, with a paper trail your reviewers can trace end to end.
What you receive: a reproducible R, SPSS, or Python script, a data-cleaning log, APA tables/figures, and a plain-language walkthrough so you can answer for every result at your defense.
Background: UC Berkeley, B.A. Applied Mathematics + Data Science. Published statistician (Joint Statistical Meetings; AMS Sectional; peer-reviewed journal). I build statistical pipelines professionally which is why your analysis arrives as working code.
Message me your design and sample size before ordering and I will tell you the package and turnaround. Same-day replies.
FAQ
Will you write my dissertation for me?
No — and that's deliberate. I run and explain the statistics; you write. Committees permit statistical consulting, not ghostwriting, and everything ships as a reproducible script so your work is defensibly your own.
R, SPSS, or Python?
Any of them. You get the script and a cleaning log either way, fully reproducible.
What do you need from me to start?
A de-identified data file (CSV/Excel), your research questions/hypotheses, the software you need, your deadline, and any committee rubric or formatting requirements.
Can you justify my sample size for my proposal?
Yes — a-priori power analysis is in the Premium package (or a custom offer)
My committee sent feedback — can you revise?
Yes. Each package includes a committee-feedback revision round (1–3 by tier).
Is my data confidential?
Always de-identify before sending. I only need variables and values, never names or identifiers

