Straight answers to the questions students actually ask.

Generally, yes. Universities put statistical consulting in the same category as editors, writing centers, and transcription services: outside support for your own original work. Policies do vary, so check your program's handbook, and if the rules are unclear, ask your chair.

My model is built to stay on the right side of that line. You stay involved in every decision, you learn the reasoning, and you write your own dissertation. If a program's policy does not allow the work, I decline it. The page written for chairs and faculty spells all of this out, and you are welcome to send it to your committee.

Only if you tell them, and that is entirely your choice. Working with a statistical consultant is an ordinary, ethical part of doctoral research, and most universities allow it, the same way they allow editors and writing centers. Check your program's handbook. I never contact your university, and your identity, your data, and your project are not shared with anyone.

Every analysis decision and every piece of advice comes from me personally. Your dataset is never uploaded to an AI company, not to a chatbot and not to an AI-assisted analysis service. I may use software, including AI tools running on my own computers, for routine formatting such as APA tables, and I check every line of it myself.

No. This practice is quantitative only: statistics, design, measurement, and the results that come out of them. I do not code interviews, run thematic analysis, or write literature reviews. On a mixed-methods study I take the quantitative half and you handle the rest with someone else.

SPSS, R, and Excel cover most dissertation work, and I work in other standard packages when a program requires them. If your school expects a specific tool, we use that one.

You keep the files: syntax or script, output, and formatted tables, so you can re-run the analysis yourself and show your work.

It depends on the design and on the time of year. End of term is busiest. A focused methods review is usually a matter of days; a full analysis runs in stages over a few weeks, with coaching calls between them.

Tell me your real deadline at intake. If it is not realistic, you will hear that before you pay anything, along with what would make it realistic.

That is normal, and it is planned for. Revisions inside the agreed scope are included, with no new invoice because your chair asked for a different post-hoc test or an added covariate.

If a committee genuinely changes the project (a new research question, a second dataset, a different design), we agree on that scope and price in writing before any further work begins. Your original quote is never revised after the fact.

Full support runs $4,500 if you are still deciding your topic or methodology, $4,000 once your methodology is approved, and $3,500 once your data are collected. Any of those is 25% less if we work fully async by email. A smaller Methods Review is $400. Every price is flat rate, agreed in writing before work starts, and covers all revisions, including after your defense.

You get your exact number in writing after I read your intake form, with the scope attached, and it does not change. See services and pricing

Every deliverable comes to you for review. If it doesn't meet the scope we agreed in writing, I revise it until it does, and if I still can't make it right, you get your money back for that part of the work. Once you approve a deliverable, it's final and no longer refundable.