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Disadvantages of case studies in nursing education

  1. It would be extremely unethical to go taking parts of peoples brains out just to make a larger sample size to use a different experimental design method.
  2. They need to afford time and money for the training of faculty members to use the equipment. However, as data is collected on new cases I think it is important to always refer back to previous data in order to build on existing knowledge and ensure findings are as applicable to real life as possible.
  3. If you look back a few blogs I have summarised my view of qualitative data.
  4. The data collected is normally a lot richer and of greater depth than can be found through other experimental designs. In a sense, patient simulators are residents who require ongoing housing and expert care.
  5. And, conveniently, patient simulators can time and adjust their critical situations to coincide with nursing curriculum.

They are being deemed non-scientific and of questionable usefulness. In this blog I will look at both sides of the argument for case studies and see whether as a design it is still useful for the field of psychology.

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Advantages Case studies allow a lot of detail to be collected that would not normally be easily obtained by other research designs. The data collected is normally a lot richer and of greater depth than can be found through other experimental designs. Case studies tend to be conducted on rare cases where large samples of similar participants are not available.

An example of this is the study of Phineas Gage by Harlow, J. This example also connects with the point above with the depth of data obtained.

Case Studies

Cases of brain damage are quite minimal and it is extremely rare to find people with the exact same parts of the brain affected. To be able to gain knowledge of brain functions the damage between people have to be exact to ensure you are testing the right thing, this can generally only be done through case studies. Within the case study, scientific experiments can be conducted. Again to Phineas Gage, his contributions to neuropsychology and the workings of the brain are invaluable.

Disadvantages One of the main criticisms is that the data collected cannot necessarily be generalised to the wider population. This leads to data being collected over longitudinal case studies not always being relevant or particularly useful.

  • This leads to data being collected over longitudinal case studies not always being relevant or particularly useful;
  • This chronic population will continue to present with an array of symptoms, to require all sorts of care, to experience medical emergencies, and to birth their little simulator babies as nursing students try their best to help them;
  • What are your thoughts on the pros and cons of nursing patient simulators?
  • At some point, they will likely malfunction or break down—and, when they do, they will require a completely different type of care professional to mend them;
  • What are your thoughts on the pros and cons of nursing patient simulators?

Some case studies are not scientific. Freud used case studies for many of his theories or studies.

Advantages and Disadvantages of Case-Control Studies

Such examples are that of Anna O and Little Hans. Both of these are not scientific nor are they able to be generalised. This can be attributed to them being case studies, but also Freudian theory in general. This can lead to bias in data collection, which can influence results more than in different designs.

Promotion of critical thinking by using case studies as teaching method.

Case studies also tend to collect mainly qualitative data. I have put this as neither an advantage or disadvantage of case studies, as this depends on your stance on qualitative data. If you look back a few blogs I have summarised my view of qualitative data.

It would be extremely unethical to go taking parts of peoples brains out just to make a larger sample size to use a different experimental design method. However, as data is collected on new cases I think it is important to always refer back to previous data in order to build on existing knowledge and ensure findings are as applicable to real life as possible.