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TThesis Tutors
Recurring specialist support

Institutional Statistics & Data Clinics

Give researchers scheduled access to statistics and data-analysis specialists for focused questions, software support and interpretation guidance throughout live projects.

Dissertation cohortsDoctoral researchersResearch staffBusiness-school studentsHealth researchersSocial-science programmes
Discuss your institutionView institutional pricing
10-session clinic€1,950 standard institutional package
BookableScheduled researcher appointments
FocusedOne problem or decision per session
EducationalResearchers remain responsible for analysis decisions
What the programme can include

Build support around real researcher needs.

Rather than forcing every cohort into the same package, Thesis Tutors can combine live teaching, specialist clinics, digital research tools and targeted one-to-one support around the institution’s actual gaps.

01

Before data collection

Support planning around variables, measures, power, sample size and analysis feasibility.

  • Power analysis
  • Sample planning
  • Variable design
  • Analysis plan
02

During data preparation

Help researchers diagnose data quality, coding issues, missingness and assumptions before modelling.

  • Cleaning
  • Missing data
  • Outliers
  • Assumptions
03

During analysis

Support test selection, model setup, software workflow and interpretation.

  • Comparisons
  • Associations
  • Regression
  • Repeated measures
04

At results-writing stage

Help researchers understand what the output says and what it does not justify.

  • Interpretation
  • Tables
  • Effect sizes
  • Limitations
05

Software clinics

Provide practical support using common research-analysis environments.

  • SPSS
  • R
  • Python
  • Stata
06

Escalation route

Complex projects can be moved into a longer specialist consultation where a short clinic is not enough.

  • Extended session
  • Multi-session pathway
  • Methods review
  • Analysis pathway
Implementation

How the clinic operates

A clear implementation sequence keeps responsibilities, academic-integrity boundaries, communications and support routes understandable for both staff and researchers.

1. Allocate

Agree the number of clinic sessions and eligible cohort.

2. Book

Researchers submit a short question and relevant context before the appointment.

3. Support

A specialist works through the methodological or analytical issue with the researcher.

4. Report

The institution can receive aggregate participation information without unnecessary exposure of research content.

Institutional use

Good clinic questions

  • Which test fits my research question?
  • How should I plan sample size?
  • Why are my assumptions failing?
  • How do I interpret this model?
  • How should I report this result?
  • What should I do before analysis?
Flexible configuration

Not designed for

  • Doing assessed analysis on behalf of students
  • Fabricating data
  • Guaranteeing significance
  • Replacing methods teaching
  • Making academic decisions
  • Circumventing supervision
Governance & quality

Supplementary support, with clear boundaries.

Thesis Tutors is designed to complement formal supervision and existing university services. We support researcher development through teaching, coaching, feedback, legitimate editing and specialist guidance; we do not write assessed theses or make academic decisions on behalf of researchers.

Academic integrity

Researchers retain responsibility for the ideas, analysis, arguments, decisions and final work they submit.

Privacy by scope

Institutional delivery can be designed around the minimum data needed for access, support and agreed reporting.

Human support

Specialist expertise remains central where judgement, teaching and methodological explanation are required.

Frequently asked questions

Questions institutional teams often ask.

Does Thesis Tutors replace university supervision?

No. Our institutional work is supplementary. Formal supervision, assessment and academic decisions remain with the university and researcher.

Can programmes be adapted to a specific cohort?

Yes. Delivery can be scoped around degree level, discipline mix, programme calendar, cohort size, research stage and the institution’s own policies.

How is academic integrity protected?

Support focuses on teaching, coaching, feedback, skills development and legitimate editing. Researchers remain responsible for the ideas, analysis, decisions and assessed work they submit.

Can we start with a pilot?

Yes. A defined pilot or clinic is often the simplest route for testing demand, delivery fit and administration before a wider programme is considered.

Start with a defined scope

Tell us the cohort, challenge and delivery window.

We can help you shape a pilot, clinic, workshop series, support pool or Research Room licence without committing the institution to a larger programme before the model has been tested.

Start institutional enquiryEmail us
Continue your pathway

Related support and free resources

Research problems rarely sit in isolation. These related areas can help you connect this work to the next stage of your project.

Statistics & Data AnalysisSPSS TutoringR for ResearchStata TutoringPython for ResearchData Analysis Clinic
Practical outcomes

What you should leave with

The value of support is not simply having a call. It is being able to make better research decisions independently afterwards.

1. A clearer understanding of the decisions involved in institutional statistics & data clinics

This is developed through discussion, examples and feedback rather than by taking ownership of your assessed work.

2. A prioritised list of next actions you can complete yourself

This is developed through discussion, examples and feedback rather than by taking ownership of your assessed work.

3. Questions or decisions to take back to your formal supervisor where approval is required

This is developed through discussion, examples and feedback rather than by taking ownership of your assessed work.

4. Greater confidence explaining and justifying the choices in your own work

This is developed through discussion, examples and feedback rather than by taking ownership of your assessed work.

Academic integrity remains central. Thesis Tutors provides teaching, coaching, feedback, editing and research-development support. We do not write assessed work for submission, fabricate data, impersonate students or replace the authority of your university supervisor, ethics committee or programme regulations.
Questions researchers bring

Common questions we can explore

What analysis actually answers my research question?

We examine the question in the context of your research aims, programme requirements, available evidence and constraints. The goal is not to impose a single answer, but to help you understand the trade-offs and justify the decision you make.

Do my variables and sample support the test I am considering?

We examine the question in the context of your research aims, programme requirements, available evidence and constraints. The goal is not to impose a single answer, but to help you understand the trade-offs and justify the decision you make.

Which assumptions matter and what should I do if they are not met?

We examine the question in the context of your research aims, programme requirements, available evidence and constraints. The goal is not to impose a single answer, but to help you understand the trade-offs and justify the decision you make.

How should I interpret statistical significance alongside effect size and uncertainty?

We examine the question in the context of your research aims, programme requirements, available evidence and constraints. The goal is not to impose a single answer, but to help you understand the trade-offs and justify the decision you make.

How can I report the analysis transparently without overstating the result?

We examine the question in the context of your research aims, programme requirements, available evidence and constraints. The goal is not to impose a single answer, but to help you understand the trade-offs and justify the decision you make.

How support works

A structured process, not a generic tutoring hour

A useful research session should leave you knowing what changed in your understanding and what you need to do next. We therefore structure support around diagnosis, reasoning and action.

1

Clarify the problem

We identify the decision, difficulty or feedback that is blocking progress and separate the core research issue from secondary concerns.

2

Work through the reasoning

We examine alternatives, assumptions, evidence and programme expectations so you can understand why one approach may fit better than another.

3

Turn it into action

We translate the discussion into concrete next steps, checks and questions for your formal supervisor where institutional approval is needed.

Scope of support

What we can work through together

The exact emphasis depends on your project, but a focused session or support pathway can cover the following parts of statistics and quantitative analysis.

Turning research questions into analysable hypotheses.
Variable types, coding and data structure.
Descriptive statistics and data screening.
Assumption checks and test selection.
Effect sizes, confidence intervals and power.
Interpretation, reporting and limitations.
Built around your own project. Bring your research question, relevant draft sections, programme handbook or rubric, supervisor feedback, data/output where appropriate, and the decisions you are currently trying to make. We use these materials to make the support specific rather than generic.
A deeper look

What institutional statistics & data clinics support can help you achieve

This support is designed for researchers who need to understand, justify, run or interpret quantitative analysis for a dissertation, thesis, paper or applied project. We focus on the reasoning behind your decisions, not just the finished document or software output. That means working from your actual research question, programme expectations, supervisor feedback and the stage you have reached.

Turning Research Questions Into Analysable Hypotheses

We can work through this area step by step, identify what evidence or reasoning is missing, and help you decide what should happen next in your own project.

Variable Types, Coding And Data Structure

We can work through this area step by step, identify what evidence or reasoning is missing, and help you decide what should happen next in your own project.

Descriptive Statistics And Data Screening

We can work through this area step by step, identify what evidence or reasoning is missing, and help you decide what should happen next in your own project.

Assumption Checks And Test Selection

We can work through this area step by step, identify what evidence or reasoning is missing, and help you decide what should happen next in your own project.