Dissertation Results Interpretation UK
Dissertation results interpretation UK should connect each statistical output to the research question it was designed to answer. Good interpretation explains magnitude, uncertainty and limitations instead of translating a p-value into a simple “worked” or “did not work” conclusion.
Begin With the Observed Pattern
Describe relevant means, proportions or distributions so the reader understands what happened in the sample before inferential statistics are introduced.
State the Statistical Evidence
Report the main test statistic or model estimate, p-value where relevant, effect size and confidence interval. Use consistent rounding and labels.
Answer the Research Question Directly
Translate the evidence into the language of the study without using causal wording that the design cannot support.
Interpret Non-Significant Findings Carefully
A non-significant result does not prove that there is no effect. Consider precision, sample size and the range of values compatible with the data.
Separate Results From Discussion
The results chapter generally reports what the data show, while the discussion connects those findings to theory and prior literature. Follow your programme’s specific guidance.
Use SPSS Results Interpretation UK, How to Interpret SPSS Output and How to Write a Dissertation Results Chapter with SPSS.