SERVICE

Statistical analysis of research, surveys and experiments

I help researchers, PhD students, organisations and individuals analyse data from surveys, studies and experiments. I match methods to the research question and the data, run the analysis, check test assumptions and explain the results — including what they don’t allow you to conclude.

You work directly with me · Warsaw, Poland · working remotely across the EU
Tools: R, Excel

What you get

  • A report with results, tables and charts
  • A description of the methods used and why they were chosen
  • R code and output files for verification
  • A walkthrough of the results and help with reviewer questions within the agreed scope
Typical turnaround
1⁠–⁠3 weeks
Quote
free, no obligation
Payment
after acceptance on a first order

When I can help

  • You have survey results and aren’t sure which statistical test to use.
  • A reviewer or supervisor asks for a different method or for assumptions to be checked.
  • You need tables and charts ready for a report, paper or presentation.
  • You want to check the reliability of a scale or questionnaire.
  • You’re planning a study and want to know how large a sample you need.

What you gain

  • Methods chosen for your question and data, with a rationale.
  • Test assumptions checked — fewer questions from reviewers.
  • Results explained clearly, with effect sizes rather than just p-values.
  • Reproducible work: code and output files you can check.

What I do

  1. We go through your research questions, hypotheses and how the data was collected.
  2. I prepare the data: coding answers, handling missing values, reversed scale items.
  3. I compute descriptive statistics and check scale reliability (e.g. Cronbach’s alpha).
  4. I choose and run tests, checking their assumptions (group comparisons, correlation, regression).
  5. I prepare tables and charts in the agreed format.
  6. I describe what the results show and what the data cannot tell you — as material for your own interpretation, not a ready-made thesis chapter.

How I approach it

I start from the research question, not from a list of tests. First I check what the data can actually tell us, and I describe the limitations honestly — “no significant difference” is a result too. I run the calculations and explain every step, but I don’t write coursework or theses for anyone: the conclusions in your work are yours, and my job is to make sure the analysis behind them is correct and clear.

EXAMPLES

An example on fictional data

Client data is confidential, so I show the same kind of work on fictional data. The results are calculated from that data — these are not client projects.

Research analysis · RDemo
2.533.5418⁠–⁠29 (n = 146)3.6518–29: mean 3.65, 95% CI 3.52–3.77, n = 14630⁠–⁠44 (n = 158)3.4030–44: mean 3.40, 95% CI 3.28–3.52, n = 15845+ (n = 108)2.9045+: mean 2.90, 95% CI 2.75–3.05, n = 108

Mean rating on a 1⁠–⁠5 scale · n = 412

Chart data
GroupnMean95% CI
18⁠–⁠291463.653.52⁠–⁠3.77
30⁠–⁠441583.403.28⁠–⁠3.52
45+1082.902.75⁠–⁠3.05
2.533.5418⁠–⁠29 (n = 146)3.6518–29: mean 3.65, 95% CI 3.52–3.77, n = 14630⁠–⁠44 (n = 158)3.4030–44: mean 3.40, 95% CI 3.28–3.52, n = 15845+ (n = 108)2.9045+: mean 2.90, 95% CI 2.75–3.05, n = 108

Mean rating on a 1⁠–⁠5 scale · n = 412

Chart data
GroupnMean95% CI
18⁠–⁠291463.653.52⁠–⁠3.77
30⁠–⁠441583.403.28⁠–⁠3.52
45+1082.902.75⁠–⁠3.05

Survey analysis across three age groups

Problem
Does the rating of an online training course differ between age groups?
Data
Survey: 412 respondents, a 5-item scale (answers 1⁠–⁠5), three age groups.
Work
Scale reliability (Cronbach’s alpha), means with 95% confidence intervals, Kruskal–Wallis test (ordinal data), effect size.
Result
Reliable scale (α = 0.89). Ratings differ between groups (H = 48.0, p < 0.001), with a moderate effect (ε² = 0.11): the 18⁠–⁠29 group rates highest (3.65), the 45+ group lowest (2.90).
Tools
R

Sample input files: survey data (CSV)

What I need for a quote

  • Your research questions or hypotheses
  • A description of the data: number of respondents, questions, answer scales, file format
  • Requirements for the output (e.g. APA style, language)
  • Your deadline and whether the analysis is for a thesis, a paper or a report

Questions

Will you write a chapter of my thesis?

No. I run and explain the analysis, prepare tables and charts and a description of the results, but I don’t write coursework or theses for anyone. Responsibility for the text stays with you.

Which software do you use?

Mainly R, which makes every calculation reproducible. On request I can prepare the results so they can be reproduced in other software, or describe how to do it.

I don’t have a company. Can I order an analysis as a private individual?

Yes. Billing through Useme also works for private individuals — you get an invoice in your own name, without needing a company.

Can you help plan a study before data collection?

Yes. I can help with choosing scales, sample size and an analysis plan — it saves problems at the analysis stage.

What happens after the 30 days of support?

After the 30 days I quote small fixes separately, always before starting, or we agree ongoing support. The documentation also lets someone else take the solution over.

How do we work together, and how does billing work?

You describe the problem in a few sentences. Within 1 business day I reply with questions or a proposal, then send a free quote with the scope, timeline and price. I bill through Useme, a Polish freelance platform: you get a VAT invoice, and your payment can be held by Useme until you accept the work. An NDA is available on request.

CONTACT

Tell me what you need.

A few sentences are enough. I’ll reply within 1 business day with questions or a proposed scope, timeline and price.

  • No files and no tool names needed at this stage.
  • Scope, timeline and price are agreed before I start.

Prefer to email? [email protected]

ENQUIRY FORM

Request a free quote

Please don’t include confidential data at this stage. The quote is free and there’s no obligation.

Your details are used only to reply to your enquiry and prepare a quote. The data controller is Hubert Salwa. Details: privacy policy.

DEMO · FICTIONAL DATA

Demo

Describe your problem