What Happens If There is No Data Available on Your Chosen Topic?

A dissertation’s primary goal is not just to uncover new information but also to challenge preconceived notions and discover what we do not yet know. Claiming this is inherently subjective because you must weigh the pros and cons of making a claim. By acknowledging a dissertation topics examples limits, you may show your lecturer that you’ve thought analytically about the topic, found relevant literature, and evaluated the strategies used to solve it.


Due to the difficulty of discovering trends and connections, you may be forced to restrict the scope of the sample size you are using to compensate for the lack of relevant data. These restrictions must be disclosed, but you must also explain why you think the data is absent or untrustworthy. Instead of simply giving up, use this as a chance to explain why further research is needed.


Design or technique factors that affect or influence your selected topic’s applicability and interpretation are known as limits. The generalizability and usability of results are limited by how you designed the topic and/or how you established reliability and validity. 


Possible Limitations to Data Availability

It’s impossible to exclude the possibility that a study may be flawed. It’s critical, though, to keep your discussion focused on the specific research subject. If, for example, your study does not have the declared objective of doing a meta-analysis of the current literature, this should not be considered a constraint. You made no promises about what you would research for your paper, so don’t make any excuses. Here are a few examples of possible restrictions:

Absence of topic-related research

Prior research studies serve as the framework for your literature evaluation, which helps you grasp and explain your research question. There may be no earlier study on your issue, depending on its current relevance or breadth. Talk to an Essays UK writing service before making any assumptions about this. Developing a new research typology may be necessary if a librarian has determined that there is no existing study. Consider this constraint as an opportunity to explain why further research is needed.

The collection method for the data 

Occasionally, a comprehensive study of the results is hindered by how you acquired the data. For example, you might regret excluding a question from a survey that might have helped address a subsequent problem in the selected area. Accept the shortcoming by saying that future studies should use a different data collection strategy.

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Information provided by the participants

Although data collected by participants may seldom be independently validated, it is often used in qualitative research to supplement more traditional quantitative data. Both approaches have their drawbacks. Take what individuals say in interviews, group discussions, or surveys at face value.

Topical Limitations In Organising And Writing

You should explain the topic’s limits at the start and end of the discussion section. Hence, the reader knows the limitations before reading the rest of your analysis of your findings. Suppose the limitations relate specifically to that area of the paper’s discussion. In that case, highlighting them in the body of the discussion section is appropriate. If this is what you’re assuming, make it clear at the end. Try redefining this as a topic to set the framework for a more comprehensive study if your choice is severely defective, such as the lack of key data. Show how these faults can be addressed in future research too.


However, this does not justify skimping on research! This handbook contains a section on creating study subjects. If you have major constraints, your subject is probably too new with insufficient research or strictly focused. You might have to reinterpret or overcome your subject matter in the event of major limitations. It’s important to remember the following while addressing the lack of facts on your selected topic: 


  • Describe each language in detail but succinctly;
  • The reason for this restriction is explained below.
  • Explain why the chosen data collection method(s) failed to overcome this constraint.
  • Compare your results and conclusions to those from this constraint; if necessary, explain how these limitations may hint at the need for more study.

Closing Remark

It’s important to remember that the approach you used may have contributed to a substantial restriction that surfaced during your assessment of the findings. Keep calm if this happens. Then, in future studies, they describe how an alternative or more rigorous technique may help solve this issue more effectively. One of the primary objectives of academic research is to show not just that something works but that it doesn’t work or requires greater explanation.


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