Research methods & statistics consulting

Rigorous evidence, from question to defensible conclusion.

I help graduate students design and finish defensible dissertations, and I help organizations turn data into credible, evidence-backed claims. The throughline is the same: methods that hold up to scrutiny.

I'm writing a dissertation I represent an organization

What "defensible" looks like

Research questionwell-posed

Designmatched to the claim

Sample / powerjustified

Analysispre-specified

Interpretationwithin the data

Two ways I work

Find the path that fits where you are.

Graduate students

Dissertation & thesis support

Stuck on your methods chapter, dreading the analysis, or facing a committee that wants more rigor? I work alongside you across every phase — from sharpening the question to preparing for the defense — so the work is yours and it holds up.

See how I support students

Organizations & digital health

Evidence that sets you apart

Buyers, clinicians, and investors increasingly ask "where's the evidence?" I help you design the studies, measure the outcomes, and communicate the findings that turn a good product into a credible one — built on data, not adjectives.

See how I work with teams

Areas of expertise

Methods and statistics are where I add the most value.

I consult across the full research process, but my deepest expertise is in the parts most people find hardest to get right — and the parts reviewers and committees scrutinize most.

Research design

Choosing a design that can actually answer your question — experimental, quasi-experimental, observational, qualitative, or mixed — and anticipating the threats to validity before they become objections.

Statistical analysis

From power analysis and measurement through regression, multilevel and longitudinal models, SEM, and modern approaches — chosen to match the data and the claim, then interpreted honestly.

Measurement & instruments

Reliability, validity, scale construction, and psychometrics — making sure what you're measuring is what you think you're measuring before any analysis begins.

Reproducible workflows

Clean, documented analysis in R, Python, SPSS, Stata, or Mplus — so your results are transparent, repeatable, and easy to defend or hand off.

Writing the results

Translating output into clear methods and results sections, tables, and figures that a committee, a journal, or a non-technical stakeholder can follow.

Review & second opinions

A rigorous outside read of your design or analysis before you commit — catching the issues that are far cheaper to fix now than after data collection or after launch.

How I work

Collaborative, transparent, and built to make you more capable.

Good consulting should leave you stronger than it found you. I explain the reasoning behind every recommendation so you can defend it, repeat it, and stand behind it as your own.

Plain-language reasoning. You'll always understand why a method was chosen, not just which one.
Your work stays yours. I strengthen and guide; I don't ghostwrite dissertations or fabricate results.
Honest about uncertainty. I'll tell you what the data can and can't support — that honesty is the whole point.
Flexible engagements. One-off reviews, hourly consults, or ongoing partnership across a project.

By the numbers

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Dissertations supported

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Years in applied research

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Peer-reviewed publications

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Organizations advised

Replace the bracketed figures with your own. Keep only the ones you can substantiate — credibility is the product.

"[Replace with a real client quote. A specific outcome — 'my committee approved the proposal without revisions' — is far more persuasive than praise.]"

— [Client name or role, e.g. Ph.D. candidate, Clinical Psychology]

"[A second testimonial, ideally from your other audience — an organization or digital-health team you've advised.]"

— [Title, Company]