Analysis Of Your Findings And Results Discussion

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Your findings/analysis/results/discussion can be structured in a number of ways depending on what works best for your particular project. Quantitative and qualitative analysis chapters will tend to differ quite significantly from each other. Again you can get ideas by looking at some of the journal articles that you reviewed in your lit review. Some general rules are that for quantitative results you should make the best use of tables, charts and diagrams to present your analysis. You are likely to have developed some hypotheses for testing and the results of these are quite often summarised in one overall table as well as individual tables generated from SPSS/Excel.

The most important tests/analyses may be included in the body copy of the chapter and less important tests in the appendices. Quantitative analyses often report the findings first and then include a follow-up chapter to discuss the findings (called Discussion). This is sometimes incorporated into Conclusions also. For qualitative analysis it is usual to present your analyses in themes, outlining the crux of each theme in your own words and supporting your arguments with verbatim quotes (from your participants). You may include full transcripts in your appendices however it is preferred for you to include your analyses output such as ‘large sheet of paper’ in the appendices and it is good practice to include a profile table analysis of your participants.

In both qualitative and quantitative you should compare your findings with those of previous studies so refer back to your literature review and reference those comparisons. As a general rule you should follow the guidelines below: Report the facts that your research discovered Include tables/graphs Include verbatim quotes from participants Include narrative accounts of observations Purpose is to present facts - not comment Structure clearly and logically - Correspond with research objectives - Thematically Compare to previous research Be selective – important parts.

Discussion

This section should analyze and interpret the results of your research, emphasizing the significance of your findings in relation to your research questions and the existing literature. For quantitative data, discuss the implications of your statistical analyses, noting patterns, correlations, or differences revealed. For qualitative data, explore themes and insights, supported by verbatim quotes from participants. Highlight any unexpected findings and consider possible explanations. Compare your results with similar studies, indicating agreements, discrepancies, and contributions to the field. Address the robustness, limitations, and reliability of your findings, and suggest areas for further research or practical applications.

Conclusions

The final chapter should synthesize the core findings of your study, demonstrating how they contribute to knowledge and understanding within your field. Clearly answer all your research questions and objectives, drawing direct connections between your results and the literature reviewed earlier. Reflect on the significance of your findings, explicitly stating how they extend existing theories or offer new insights. Discuss the practical implications for relevant stakeholders, such as industry practitioners or policymakers. Recognize the limitations of your study—such as small sample sizes or methodological constraints—and propose directions for future research to address these gaps. Where appropriate, include recommendations based on your findings.

References

References

  • Author, A. A., & Author, B. B. (Year). Title of the journal article. Journal Name, Volume(Issue), pages. https://doi.org/xxxxx
  • Author, C., & Author, D. (Year). Title of the book. Publisher.
  • Author, E. (Year). Title of online article. Website Name. URL
  • Smith, J. (2018). Quantitative data analysis techniques. International Journal of Social Research Methodology, 21(4), 301-315.
  • Johnson, L., & Lee, K. (2020). Qualitative research methods in marketing. Sage Publications.
  • Brown, P. (2019). Ethical considerations in research. Ethics and Society Journal, 12(3), 45-57.
  • Williams, R. (2021). Data visualization in research. Journal of Data Science, 19(2), 150-162.
  • Garcia, M. (2017). Participant observation and thematic analysis. Research Methods Journal, 5(1), 33-45.
  • Davies, S. (2016). The role of appendices in scholarly reports. Academic Publishing Review, 8(4), 220-235.
  • Lee, T., & Martin, D. (2022). Integrating quantitative and qualitative methods. Journal of Mixed Methods Research, 16(1), 77-92.

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