Data Presentation
Data Presentation
Literature Review
- It’s the process of researching and summarising existing literature on your chosen topic.
- Identifying major themes, principles, and variables relevant to your proposed research.
- Helps in refining your research question or even in building your thesis statement.
- Evaluates previous research findings, contradictions, gaps and limitations to your topic.
- Always cite your sources properly to avoid plagiarism.
Investigative Project Proposal
- Clearly identify and describe the scientific issue you plan to investigate.
- Provide a rationale or justification for the project.
- Describe the project’s objectives and how each of them will be achieved.
- State your hypothesis clearly.
- Provide an overview of the methods and strategies you intend to use.
Schedule
- Time management is an important part of your project.
- Develop a realistic timetable to cover all the stages of your project.
- Periodic milestones help keep you on track.
- Incorporate time for any necessary corrections or adjustments.
Plan
- Systematically outline how you will carry out your project.
- Include all the necessary steps and actions.
- Ensure the plan is logical and methodical to follow.
Health and Safety and Ethical Considerations
- Evaluate all potential risks in your project.
- Make sure the project keeps within ethical guidelines.
- Have a plan for managing any potential risks or breaches of ethics.
- Ensure compliance with regulations on data protection and participant confidentiality.
Experimental Procedures and Techniques
- Document your methodology clearly.
- Maintain a record of all procedures, calibration of instruments, materials used, etc.
- Be consistent in application of methods and techniques.
Collect, Collate and Analyse Data
- Use both qualitative and quantitative methods.
- Subject your data to appropriate statistical analyses.
- Always crosscheck your data for errors.
- Keep your raw data safe and organised for future reference.
Data Presentation
- Present your data in a clear and easily understandable format.
- Graphs, charts and tables can be used to simplify complex data.
- Use a clean layout that allows your data to speak for itself.
- Don’t forget to label your axes or columns for clarity.