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How to Defend Your Statistical Analysis in a UK Viva

A practical framework for defending statistical analysis in a UK viva, from method choice and assumptions to interpretation, limitations and reproducibility.

How to Defend Your Statistical Analysis in a UK Viva

If you are preparing how to defend statistical analysis in viva questions, focus on the reasoning chain behind your results. Examiners want to know whether the statistical choices follow from the design and whether you understand the evidence well enough to discuss its strengths and limitations.

Explain Why the Method Fits

Begin with the research question, outcome type, predictors or groups, and observation structure. Then explain why the chosen model is appropriate.

Know Your Data-Preparation Decisions

Be ready to discuss exclusions, missing values, scale construction, transformations and any unusual observations. These decisions affect the final analytical sample.

Explain Assumptions in Context

Know which assumptions matter for your method, how you assessed them and whether sensitivity checks were performed.

Interpret Effect Size and Uncertainty

Do not rely only on statistical significance. Explain the magnitude of the finding and the confidence interval or other uncertainty measure where relevant.

State What the Study Cannot Prove

A careful answer distinguishes association from causation and acknowledges limitations in sampling, measurement and design.

Show You Can Reproduce the Analysis

Knowing that the analysis can be rerun from documented data preparation and syntax demonstrates strong control over the work.

Use SPSS Viva Preparation UK, Reproducible SPSS Analysis UK and SPSS Results Interpretation UK.

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