Top 10 IA Mistakes

Are you gearing up for your Internal Assessment and looking to avoid common pitfalls? Whether you’re just starting out or fine-tuning your work, understanding the top mistakes students make can be a game-changer. Dive in as we uncover the top 10 IA mistakes that could derail your project and discover how to steer clear of them for a standout submission.

1. Choosing a research question that is too broad: A research question that is too broad leads to a superficial investigation, as it's difficult to delve deeply into all aspects of the topic within the word/page limit. A well-formulated research question is one that can be explored thoroughly and exhaustively within the given word or page constraints.

    

   To see what it should look like, check this example. 

    

2. A too-long or too-short background section: Background information should introduce the reader to the investigation and provide the context needed to understand it. Ensure that your background section covers all elements needed to comprehend the investigation while excluding irrelevant details. 

    

   To see what it should look like, check this example. 

    

3. Over-reliance on secondary sources: Relying too heavily on secondary sources can result in a lack of originality and depth in your investigation, as it may limit your analysis to existing interpretations. Furthermore, insufficient primary data can indicate limited personal engagement with the investigation. A strong IA includes a balanced mix of primary sources and secondary sources to provide fresh insights and a well-rounded perspective. 

    

   To see what it should look like, check this example. 

    

4. Lack of structure: An IA with poor structure can result in a disorganized presentation, making it challenging for readers to follow your arguments and findings. A well-structured IA features clear sections and a logical flow, allowing for a coherent and comprehensive exploration of the research question.

    

   To see what it should look like, check this example. 

    

5. Inconsistent formatting: Inconsistent formatting can create a disjointed and unprofessional appearance, making your IA difficult to read and follow. Ensure consistent page numbering, font style, appropriate use of font size and thickness, and labeling. 

    

   To see what it should look like, check this example. 

    

6. Not following citation styles correctly: Not following citation styles correctly will make the work look unprofessional or may even result in plagiarism issues. Students are advised to adhere to one citation style that is suitable for the given subject. 

    

   To see what it should look like, check this example. 

    

7. Inadequate conclusion: An inadequate conclusion is one that does not summarize the findings of the investigation and does not address the demands of the research question. Students should ensure that their conclusion wraps up the findings of the IA and addresses the demands of the RQ directly. (i.e. if your research question assesses the extent, your conclusion should evaluate that extent; if it examines the effect of one variable on another, the conclusion should clearly state that effect). A strong conclusion effectively encapsulates your analysis and directly responds to the research question.

    

   To see what it should look like, check this example. 

    

    

   
   
    

8. Unclear argumentation: Students often provide strong and well-supported analysis; however, their arguments can be lost due to a lack of clarity and coherence in their writing. It is therefore important to ensure that your analysis is presented clearly and logically, with coherent language that effectively supports your argument. 

    

   To see what it should look like, check this example. 

    

9. Unsubstantiated claims: Building arguments on unsubstantiated assumptions undermines the credibility of your analysis. To strengthen your conclusions, it is crucial to support all claims with solid evidence from credible sources and well-reasoned arguments.

    

   To see what it should look like, check this example. 

    

10. Superficial analysis: A superficial analysis provides only a surface-level examination of the topic, failing to explore its depth and complexity. To enhance your analysis, delve deeply into the subject, providing thorough explanations and critical insights that address the core aspects of the research question.

     

    To see what it should look like, check this example.