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Data & Research Analysis Support

Analysis is conducted from client-provided data using transparent and reproducible methods.

What this service is

Statistical support helps you choose appropriate methods, run analyses correctly and report results honestly. Analysis is conducted from client-provided data using transparent and reproducible methods, and we explain what was done and why so that you can defend it.

Who it is for

  • Students who have collected data and need guidance on analysis
  • Researchers who want an independent check of their analysis plan
  • Clinicians analysing audit or survey data
  • Teams who need clear tables and figures for a report or manuscript

What we can help with

  • Research data management
  • Descriptive statistics
  • Inferential statistics
  • Regression analysis
  • Survey analysis
  • Epidemiological analysis
  • Questionnaire data analysis
  • SPSS consultation
  • R consultation
  • Excel data management
  • Data visualization
  • Results interpretation
  • Statistical reporting

What the process looks like

  1. Share your data and plan

    Provide your dataset, codebook, objectives and any analysis plan. De-identified data only, please.

  2. Data check

    We review structure, missing values and coding, and flag problems for you to resolve.

  3. Analysis and documentation

    Analyses follow the agreed plan. Steps are documented so they can be reproduced.

  4. Interpretation and reporting

    You receive results, tables or figures and a plain-language explanation of what they do and do not show.

Every project is scoped before pricing. You receive the proposed scope, deliverables, timeline and fee before work begins.

What you receive

  • Output tables and figures with the methods used clearly described
  • A short methods paragraph you can adapt, with software and tests named
  • Interpretation notes including limitations and assumptions
  • Syntax or script files where agreed, so the work can be reproduced

What we do not do

  • Fabricate, alter or selectively delete data to reach a desired result
  • Run analyses repeatedly until something is significant and hide the rest
  • Analyse data that was not collected ethically or lawfully
  • Interpret results beyond what the data support

Academic integrity

Your work. Your ideas. Expert support. RAASG supports clients in developing their own academic work. You retain authorship and academic responsibility for everything you submit. Read our full academic integrity statement.

Frequently asked questions

Do I need to share identifiable participant data?

No, and please do not. Share de-identified data only. See our Confidentiality page for how documents and data are handled.

Can you tell me which test to use?

Yes. Choosing a test depends on your question, variable types, distribution and design. We explain the reasoning, not just the name of the test.

What if my results are not significant?

Non-significant results are still results. We help you report them accurately and discuss them honestly, including power and precision.

Discuss your project with us.

Tell us what you are working on. We will review the scope and propose the most appropriate form of support.