As mentioned, if you used a quantitative research design in your dissertation, the lack of probability sampling is an important, obvious limitation to your research.
This is because it prevents you from making generalisations about the population you are studying (e.g.
Overall, the announcing move should be around 10-20% of the total word count of the Research Limitations section.
Having identified the most important limitations to your dissertation in the announcing move, the reflecting move focuses on explaining the nature of these limitations and justifying the choices that you made during the research process.
There is no "one best way" to structure the Research Limitations section of your dissertation.
However, we recommend a structure based on three moves: the announcing, reflecting and forward looking move.For example, we know that when adopting a quantitative research design, a failure to use a probability sampling technique significantly limits our ability to make broader generalisations from our results (i.e., our ability to make statistical inferences from our sample to the population being studied).However, the degree to which this reduces the quality of our findings is a matter of debate.This will make it clear to the reader that you recognise the limitations of your own research, that you understand why such factors are limitations, and can point to ways of combating these limitations if future research was carried out.This article explains what should be included in each of these three moves: There are many possible limitations that your research may have faced.Whilst a lot could be written in this part of the Research Limitations section, we would recommend that it is only around 10-20% of the total word count for this section.During the process of writing your thesis or dissertation, you might suddenly realize that your research has inherent flaws. Virtually all projects contain restrictions to your research.Facebook usage at a single university of 20,000 students) from the data you have collected (e.g., a survey of 400 students at the same university).Since an important component of quantitative research is such generalisation, this is a clear limitation.For example, it may have been impossible (or near on impossible) to get a list of the population you were studying (e.g., a list of all the 20,000 students at the single university you were interested in).Since probability sampling is only possible when we have such a list, the lack of such a list or inability to attain such a list is a perfectly justifiable reason for not using a probability sampling technique; even if such a technique is the ideal.