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Data Analysis
Picking the right test matters less than knowing why you picked it. We analyse your data, check assumptions and explain the results in the language of your research question.
What is included
- Data cleaning and screening
- Test selection and assumption checks
- Work in SPSS, R, Python, Stata or SmartPLS
- Plain-language interpretation for your results chapter
What you receive
- Analysis output files
- Tables and charts
- Written interpretation
How we work
- Brief. You share your field, stage and goal. We confirm a matching specialist.
- Plan. We agree scope, timeline and checkpoints before work starts.
- Build with review. You see progress at each checkpoint and give feedback.
- Handover. You receive the files, a walkthrough and support for follow-up questions.
Common question
Will I be able to explain the analysis in my viva?
That is the aim. We include a short explanation of each method so you can defend your choices.
Related services
- Questionnaire and Experiments Valid instruments and well-planned experiments that produce usable data.
- Qualitative Data Analysis Interviews, focus groups and open text, coded and themed with rigour.
- Quantitative Data Analysis Statistical and econometric analysis, from descriptives to structural models.