No. Non-significant results do not mean your dissertation failed. A statistically non-significant result simply means that your analysis did not provide sufficient statistical evidence to support the proposed relationship or difference under the conditions studied.
For undergraduate, master’s and postgraduate students, the key issue is not whether the result was “significant,” but whether the research was well designed, accurately analysed and honestly interpreted.
What Does a Non-Significant Result Mean?
A non-significant result generally means that the statistical evidence was insufficient to reject the null hypothesis at the chosen significance level.
For example, if you expected training to significantly improve employee performance but your statistical test produces a non-significant result, you should not automatically conclude that training has no effect whatsoever.
Instead, report exactly what your analysis shows and discuss possible explanations.
Why Might My Dissertation Results Be Non-Significant?
There are several possible reasons.
Your study may have:
- A relatively small sample size
- Limited variation among participants
- A weak relationship between variables
- Measurement limitations
- Context-specific findings
- Insufficient statistical power
- An effect that is smaller than expected
The correct explanation depends on your research design, data and statistical analysis.
Should I Change My Results If They Are Not Significant?
Absolutely not.
You should never manipulate, remove or selectively change data simply to produce statistically significant findings.
A dissertation is an academic research project, not an exercise in proving that your original hypothesis was correct.
Unexpected and non-significant findings can still provide useful evidence when they are reported transparently and interpreted appropriately.
What Should I Write in My Discussion Chapter?
Your discussion should connect the non-significant finding to your research question, hypothesis and existing literature.
For example:
Result: The relationship between X and Y was not statistically significant.
Comparison: Previous studies reported significant relationships.
Critical discussion: Explain possible reasons for the difference, such as sample characteristics, research context, measurement choices or methodological differences.
Implication: Explain what your findings suggest about the relationship and whether further research is required.
This demonstrates critical analysis rather than simply reporting a statistical result.
Does a Non-Significant Result Mean My Hypothesis Was Wrong?
It means your data did not provide sufficient statistical evidence to support the hypothesis under the conditions of your study.
That is different from proving that the hypothesis is universally false.
Your conclusion should therefore avoid exaggerated claims and remain consistent with your statistical evidence.
Can Non-Significant Results Still Be a Contribution?
Yes. Research can contribute by challenging assumptions, testing relationships in a different population or context, or showing that an effect reported in previous studies may not be consistent across settings.
The contribution depends on the quality and relevance of the research—not simply on whether the p-value crossed a particular threshold.
How Should I Report Non-Significant Results?
Report the statistical outcome accurately, provide the relevant test statistics and explain the finding in relation to your research question.
Avoid statements such as “the study proved there is no relationship” unless your research design genuinely supports such a conclusion.
Final Answer: Has My Dissertation Failed?
No. A dissertation is not successful because it produces significant results. It is successful when it demonstrates a clear research problem, appropriate methodology, reliable analysis, critical interpretation and an evidence-based conclusion.
A non-significant finding can still become a valuable part of your dissertation when you explain what the result means, why it may have occurred and how it relates to previous research.
Need Help With Your Dissertation Results and Discussion?
Inkmypaper Australia provides academic support with dissertation results, statistical interpretation, discussion chapters, literature reviews, proofreading and academic editing.
Visit www.inkmypaper-aus.com or contact +971 58 504 6071.
FAQs
Are non-significant dissertation results bad?
No. Non-significant results are legitimate research findings when the study has been appropriately designed and analysed.
What should I do if my hypothesis is not supported?
Report the finding honestly and discuss possible explanations using your methodology, data and relevant literature.
Can I still get a good dissertation grade with non-significant results?
Yes. Assessment generally depends on the quality of the research process, analysis, critical discussion and conclusions—not simply whether results are statistically significant.
Should I discuss non-significant results in my conclusion?
Yes. Briefly explain what the findings mean for your research questions and objectives without making claims beyond your evidence.
Does a non-significant result prove there is no relationship?
No. It means the study did not find sufficient statistical evidence of a relationship under the conditions tested.