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EuroThesis

Data & analysis

Statistical data analysis

Running the test is the quick part. The work that matters is choosing the right test for your data, checking that its assumptions hold, and being able to say what the output means in plain language when an examiner asks.

Suited to

  • Survey-based dissertations needing descriptive and inferential analysis
  • Regression, ANOVA, factor analysis and structural equation modelling
  • Secondary analysis of existing datasets such as Eurostat or ESS
  • Students who have output but cannot interpret it
Quote for this service

01In practice

How this actually works

We work in SPSS, R, Stata, Python and Excel, and in AMOS or SmartPLS for structural equation modelling. Where your department mandates a specific tool, we use that one so your output matches what they expect to see.

Assumption checking is included rather than assumed. Normality, homoscedasticity, multicollinearity, independence — a regression reported without these is a regression an examiner can dismantle.

Every analysis comes with an interpretation written in ordinary sentences. You should be able to explain your own results without reading from the output, and that is the standard we write to.

02Scope

What is delivered

Written down so there is nothing to discover later.

You receive

  • Cleaned and coded dataset with a documented variable and coding scheme
  • Descriptive statistics and appropriate demographic tables
  • Inferential analysis with assumption testing reported, not skipped
  • Publication-quality tables and figures formatted to your referencing style
  • A written results section reporting findings to your style’s conventions
  • A plain-English interpretation of what each result does and does not show
  • Syntax, script or output files so the analysis is reproducible

Not included

  • We do not alter data to produce a preferred result, and we report non-significant findings as non-significant
  • We do not fabricate datasets or responses

03Process

From brief to delivery

  1. Data and question review

    We look at your dataset and your hypotheses together, and tell you if the data cannot answer the question as posed.

  2. Cleaning and preparation

    Missing values, outliers, recoding and scale construction, all documented so the decisions are auditable.

  3. Analysis with assumption testing

    The appropriate tests, with assumptions checked and alternatives used where assumptions fail.

  4. Reporting and interpretation

    Formatted tables, a written results section, and an explanation you can use in a viva.

04Questions

About statistical analysis

More general questions about how we work are answered on the FAQ page.

My results are not significant. Is the project ruined?
No. A non-significant result is a result, and a well-argued discussion of why the effect did not appear — sample size, measurement, a genuinely absent relationship — is perfectly examinable. What damages a project is presenting a non-significant finding as if it were significant.
How large does my sample need to be?
It depends on the test, the effect size you expect and the power you want. We can run a power calculation before you collect data, or tell you honestly what the sample you already have is capable of detecting.
Will you explain the analysis so I can defend it?
Yes — that is the point of the interpretation document. If you cannot explain why you used that test in your own words, the analysis has not been delivered properly.
Can you use my university’s licensed software version?
We work to whatever version your department requires. Tell us which tool and version they expect and the output will match it.

05Related

Often needed alongside this

Methodology

A design you can actually execute, justified well enough to survive a viva.

Qualitative analysis

Thematic, content and framework analysis with an audit trail from quote to claim.

Survey design

Questionnaires and interview guides that produce data you can actually analyse.

Presentations & defence

Slides built to be presented, plus preparation for the questions you will be asked.

Start here

Get a quote for statistical analysis

Send the assessment criteria and your department’s guidance with the brief. Those decide the shape of the work more than the topic does. We reply within a few hours on working days.

What to have ready

  • The assessment criteria or handbook
  • Your deadline and word count
  • Anything already written or approved

Not sure which service you need? Describe the project and we will tell you — including when the cheaper one is enough.

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