Common quantitative methods for a nursing dissertation include surveys, experimental and quasi-experimental designs, correlational research, cross-sectional and longitudinal studies, cohort and case-control research, and secondary data analysis of existing datasets.
Cross-sectional studies collect data at a single point in time, useful for measuring prevalence, while cohort and longitudinal studies track the same group over months or years to observe changes or outcomes.
Experimental and quasi-experimental designs test an intervention’s effect, such as a new care protocol, but quasi-experimental studies lack random allocation, which is common in clinical nursing settings where randomisation isn’t always practical.
Choosing between these depends on your research question: surveys and correlational research suit exploring relationships between variables, while case-control research works well for comparing patients with and without a specific outcome.
This decision usually happens at the proposal stage, where your methodology needs to be justified against your research question and available data access; our dissertation guide hub covers this justification process in more depth.
Our dissertation proposal writing service can help you match the right methodology to your research question and write up that justification clearly for your supervisor.


