Summary

FAQs

• What kind of data can you analyse?

  I work with structured datasets in CSV or Excel, including environmental, biological, behavioural, experimental, and observational data. If the dataset is unusual or complex, I can review it first and confirm the best way to proceed.

• How do you decide which statistical test to use?

  I look at your research question, the structure of your data, and the assumptions behind each method. Then I choose the test or model that fits best (e.g., ANOVA/ANCOVA, regressions, GLM/GLMM, non-parametric tests). I always explain the reasoning clearly.

• Do you check assumptions before running the analysis?

  Yes. I always check normality, homoscedasticity, independence, transformations, and model fit. If assumptions are not met, I choose a more appropriate method or transform the data.

• Can you write the interpretation of the results?

  Yes. I provide a clear explanation of the statistical output: effects, confidence intervals, p-values, model significance, and what the results mean in practical terms—ready to place in a results section.

• Do I need to prepare the dataset before sending it?

  No. You can send it as it is. If it needs cleaning, I can do that too or let you know what should be adjusted.

• Can you update the analysis later if I add more data?

  Of course. If you collect new samples or measurements, I can re-run the analysis or update the models. We simply review what changed and continue from there.