For graduate students
The dissertation isn't one task — it's a long sequence of decisions, any of which can stall you for months. I help you make those decisions well, especially the methodological and statistical ones, so you keep moving and the final product holds up under your committee's scrutiny.
Sound familiar?
Your committee wants more justification, a cleaner design, or a defense of choices you made months ago — and you're not sure how to give it to them.
You collected everything, and now you're staring at a spreadsheet wondering which analysis actually answers your questions — and which ones reviewers will accept.
You understand your field deeply, but the quantitative side feels like a foreign language you were never properly taught.
You need real methodological guidance and there isn't much available from your program — so you're improvising on the highest-stakes decisions of your degree.
Something about the design isn't landing with your committee, and each round of revisions costs you another semester.
You can do the work but dread the methods and stats questions — and you want to walk in able to answer every one with confidence.
Support at every phase
You can bring me in for a single phase or work with me across the whole arc. These follow the real order of a dissertation, so order carries meaning here.
Sharpening a broad interest into a researchable question with clear constructs and hypotheses — the foundation everything else is judged against.
Selecting and justifying a design that can actually answer your question, anticipating threats to validity, and getting ahead of the objections your committee will raise.
Building a proposal and methods section that read as deliberate and defensible — including sampling, power analysis, measurement, and your planned analysis, specified in advance.
Running and interpreting the statistics — descriptive through advanced modeling — in R, Python, SPSS, Stata, or Mplus, with a clean workflow you can reproduce and explain.
Turning output into clear tables, figures, and prose that report what you found accurately and interpret it within the limits of the data.
Anticipating the hard methods and statistics questions and rehearsing answers, so you walk into the room ready to defend every choice as your own.
An important boundary
This is your degree, and academic integrity matters. I teach, advise, review, and run analyses you understand and can stand behind — I don't ghostwrite chapters or invent results. You'll leave every session more capable of defending your own work, which is exactly what the credential is supposed to certify.
Questions students ask
Yes. My deepest expertise is quantitative methods and statistics, but I consult across designs and regularly help with qualitative and mixed-methods work — including how to integrate the strands so the whole project hangs together.
R, Python, SPSS, Stata, and Mplus most often, plus others as needed. If you have a preference or your program requires a particular tool, we'll work in that.
Getting methodological and statistical consulting is standard and widely accepted — many universities even offer it in-house. I keep the work firmly on the side of teaching, advising, and analysis you understand, never ghostwriting. If your program has specific rules, share them and we'll stay well within them.
Flexible. Some students book a single review or a one-hour consult; others work with me across an entire phase or the whole dissertation. [Replace with your rates and packages, or simply invite them to ask.]
Often, yes — though the earlier you bring me in, the more I can do. Reach out with your deadline and where things stand, and I'll be honest about what's realistic.
Let's get you unstuck
Send a short note about your project and your timeline. The first consult is free and there's no obligation.