Hiring a statistical consultant starts with a decision you need to make, not a list of statistical tests. You may need to assess whether a program is working, analyze a survey, understand repeated measurements, validate a predictive model, or report research findings clearly. The right engagement connects that question to an appropriate design, a defensible analysis, and deliverables your team can use.
This guide explains what to prepare, what to ask, and how to compare proposals without treating the lowest quoted price—or the longest list of methods—as the best fit.
When outside statistical expertise is useful
A consultant can be useful before data collection, during analysis, or when an existing result needs independent review. Early involvement is particularly valuable when decisions about sampling, comparison groups, measurement, or repeated observations will limit what can later be concluded. The American Statistical Association’s consulting guidance similarly encourages involving a statistician during planning, rather than waiting until a study is finished.
Consider outside support when the analysis exceeds your team’s current capacity, a deadline requires focused specialist work, or an important conclusion depends on assumptions that have not been examined. Examples include a survey with substantial missing responses, observations clustered within sites, a forecast that performs poorly on later periods, or a dissertation study requiring careful alignment between research questions and methods.
A consultant cannot replace missing design information with certainty or guarantee strong causal evidence from an unsuitable design. A useful first discussion identifies those limits as well as the work that can realistically be done.
Write a brief that makes an estimate meaningful
Before asking for a price, prepare a short project brief. You do not need to choose the final model yourself. You do need to describe what the work is meant to accomplish.
- Decision and audience: What question needs answering, and who will use the findings?
- Design: Who or what was observed? Were observations repeated, assigned to groups, or collected across different sites?
- Data: Approximately how many records, variables, files, and collection periods are involved? Is there a codebook?
- Current condition: Are cleaning, merging, coding, or missing-data decisions still needed?
- Outputs: Do you need syntax, a clean dataset, tables, a technical report, presentation materials, or a documented handoff?
- Constraints: State the deadline, budget parameters, confidentiality requirements, software needs, and any institutional review requirements.
For an initial inquiry, a variable list or de-identified example may be enough. Agree on an appropriate transfer process before sending sensitive or identifiable records. A record count alone is not an adequate basis for pricing: a smaller, poorly documented longitudinal dataset can require more work than a larger, consistent file.
Evaluate qualifications against the work
Ask who will actually perform the analysis and review the findings. Relevant qualifications include statistical training, experience with the proposed methods, the ability to explain assumptions, and familiarity with the kind of data you have. Software proficiency matters, but knowing how to run a command is different from knowing when its output supports a conclusion.
Useful questions include: How would you handle repeated measurements? What would you examine before deciding whether missing values can be ignored? How will you distinguish exploratory findings from planned analyses? What evidence would cause you to recommend a simpler model?
DK Statistical Consulting is led by Dr. David Kremelberg, whose professional background includes full-time statistical consulting since 2009 and a statistics book published by SAGE. Its services include research methodology, data analysis, statistical modeling, and technical reporting. Evaluate that background against your specific project rather than assuming any consultant is a fit for every assignment.
Understand the cost of a statistical consulting project
There is no single useful price for “statistical analysis.” Scope, data readiness, methodological complexity, reporting requirements, and revision needs all affect the work. A proposal should explain what is included and what could change the estimate.
DKSC’s published terms specify an $800 minimum for new clients and a five-hour minimum engagement. That is a minimum engagement, not a promise that every project costs $800 or can be completed in five hours. The consulting services page explains the current pricing approach; confirm the applicable estimate and terms for your project.
When comparing proposals, separate data preparation, analysis, reporting, meetings, and revisions. Ask whether a new dataset, an additional outcome, reviewer requests, or a changed research question will require a revised scope. Do not assume that the quoted analysis includes unlimited follow-up or production software development.
A short paid diagnostic phase may be appropriate when the files are not yet understood. Its useful output is a documented assessment and realistic plan—not an assurance that every desired analysis will be feasible.
Agree on deliverables before work begins
A statistical output file is not always a complete handoff. Depending on the agreed scope, useful deliverables may include:
- A documented analytic dataset and a record of cleaning, exclusions, coding, and transformations.
- Reproducible syntax or scripts, with software and package requirements identified.
- Tables and figures with understandable labels, denominators, units, and uncertainty estimates where appropriate.
- A methods description explaining the model, assumptions, diagnostics, and sensitivity analyses performed.
- A results summary that distinguishes findings, practical implications, and limitations.
- A review meeting and a defined process for questions, corrections, and later changes.
These are options to specify, not a claim that every engagement includes all of them. If your team works in SPSS, discuss whether it needs a labeled data file, syntax, output, or written interpretation. DKSC’s SPSS consulting services provide a relevant starting point.
Use these questions to compare consultants
- What information do you need before recommending a method or confirming a price?
- Which parts of the design limit what we can conclude?
- How will data quality, missingness, model assumptions, and alternative explanations be assessed?
- Who will perform the work, and who will review it?
- Exactly which files and written materials will we receive?
- What must our team provide, and what happens if those inputs arrive late?
- What counts as a correction, and what counts as additional scope?
- How will confidentiality, access, retention, and permitted sharing be handled?
- What will another analyst need to reproduce or update the work?
Be cautious about guarantees of statistical significance, a particular business result, or acceptance by a journal or committee. A sound engagement can commit to a defined process and deliverables; its conclusions must depend on the evidence.
Academic research requires clear collaboration boundaries
Graduate students can legitimately obtain statistical and research support. DKSC’s thesis and dissertation research consulting includes study design, analysis, interpretation, and technical drafting of methods and results based on the client’s research and the analyses actually performed. Research-related help with other sections must follow the institution’s requirements.
Clients remain responsible for authorship, disclosure, acknowledgment, and understanding the work they submit. Consulting is not a substitute for original research, and it does not include completing examinations, fabricating data, or services intended to misrepresent academic authorship.
Request an estimate with a clear starting point
A useful first message states your research or business question, the data available, the deadline, and the deliverables you need. If the scope is uncertain, say so. An honest description of uncertainty is more helpful than selecting a complicated method simply to make the brief sound complete.
To discuss a possible engagement, contact DK Statistical Consulting. You can also review the pricing and frequently asked questions before preparing your brief.
Reference
American Statistical Association, Section on Statistical Consulting. What to expect when consulting a statistician. Guidance on planning, responsibilities, and a productive consulting relationship.