Back to Blog

How to Ace JMSS Science Analysis and Report Writing

Learn how to ace your JMSS Science Analysis and Report Writing with our step-by-step guide. This article offers practical tips on organising your report, analysing data, and presenting your insights clearly and effectively.

Posted by

JMSS Science Analysis Report Structure

The science analysis report is a crucial part of the JMSS entry exam, and it's a great way to show your understanding of science and your ability to think critically. This article will guide you to how you can effectively write your report while ticking all the boxes examiners expect of you.


What Is Provided In The Report Instructions?

You will be provided with the details of an experiment, including the task, equipment used, methodology, and results of the experiment. You will be tasked to write a clear and logical report that follows the guidelines provided. The guidelines of the report can differ. Example of questions you may be asked to answer in your report are:

  • What is the purpose of the experiment?
  • Was the data expected/reliable?
  • What errors might be associated with this experiment?
  • How might you improve the scientific method of this experiment?
  • What conclusions can be reached using the data?
  • What modifications/extensions could be made to the experiment?

The sections of what you need to write in your report differ depending on the questions you are asked, but generally you will need to write them in the Purpose, Discussion, and Conclusion sections of your report.


1. Purpose

This should provide a clear statement of the experiment's objective/s. It should also highlight the key scientific principles, concepts being investigated, andexplain the significance of the study in relation to the broader scientific context.


2. Discussion/Analysis

The discussion section is the most important part of your report. Start by interpreting the results. Discuss any patterns or trends, and compare your findings to existing knowledge or predictions. If there were any discrepancies, explain why they occurred. This could include sources of error or unexpected variables that might have influenced the results.


When analysing the results, it's important to identify the differences in outcomes when the independent variable is changed. This change can significantly impact the results, and understanding the scientific reasoning behind it is vital. For example, if the experiment involves testing the effect of temperature on the rate of a chemical reaction, changing the temperature can alter the reaction rate. This can be attributed to the increased kinetic energy of particles at higher temperatures, leading to more frequent collisions and a faster reaction rate.


Identifying and addressing errors is a crucial aspect of the discussion. Errors can arise from a range of sources, including human mistakes, equipment failures, and environmental influences. It is essential to discuss how these errors might have impacted the results and propose strategies for mitigating them in future experiments.


When discussing the reliability of the data, consider the following:

- Discuss any discrepancies between the expected and actual results, and explain any factors that may have influenced the reliability of the data.

- Identify potential sources of error and discuss how they may have affected the results.

- Propose potential improvements to the experimental design or methodology that could enhance the reliability and accuracy of the results.


When discussing the practical applications of the data, it's important to show how the results can be used in the real world. This means explaining how the data can help solve a problem or make a process better. It's also helpful to give examples of how the data can be used in different jobs or areas. It's important to talk about any problems or limits that might stop the data from being used. Finally, suggesting new research or ideas based on the data can help people learn more and make new things.


3. Conclusion

In the conclusion, you should summarise the main discoveries from your experiment in a clear and concise way. It's also important to explain why the results are significant and how they fit into the bigger picture. Finally, think about how you could improve your experiment if you were to do it again, and suggest those ideas. This will make your conclusion both helpful and thought-provoking.


Final Tips for Structuring Your Report

- Clarity and Precision: Be clear and to the point, especially in the discussion. Avoid over-complicating your analysis—focus on the key points.

- Logical Flow: Make sure your ideas flow logically from one section to the next. A well-structured report is easy to follow and strengthens your argument.

- Proofread: Always proofread your report to catch any spelling, grammar, or typographical errors. A well-written report is more likely to impress the examiners.