NUR 400 Denver School of Nursing Week 10 Analysis in Action Discussion
NUR 400 Denver School of Nursing Week 10 Analysis in Action Discussion
Description
Step 1 Reflect on your proposed research question or problem of interest.
Quantitative Research Reflection
- In your proposed study, what data collection instrument could you use and why?
- What types of data would you expect to obtain?
- What statistical analysis packages would best help you analyze your data?
Qualitative Research Reflection
- In your proposed study, what data collection procedures could you use?
- What data collection procedures are best suited to the proposed qualitative research?
- What types of data would you expect to obtain?
- What steps could you take to interpret your qualitative research findings?
Step 2 Post a response to the discussion board.
In your initial post, consider your proposed quantitative or qualitative study and respond to the following prompts:
- Evaluate the statistical-analysis packages available for quantitative research. Which statistical-analysis packages would be most beneficial for the examination of quantitative data within your study?
- What statistical calculations would you have the proposed statistical-analysis package calculate to help you interpret your findings and formulate conclusions?
- Discuss the qualitative data-analysis procedures you would employ to analyze data and interpret the findings obtained in your proposed qualitative study. NUR 400 Denver School of Nursing Week 10 Analysis in Action Discussion
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Discussion 1
The most beneficial statistical-analysis package for my examination would be an independent t-test. A t-test is used to compare the difference of 2 groups (Bevans,2020). The independent t-test will be choose because although both groups will be tested for seizures; the groups will be broken up to those who have a diagnosis of seizures versus those who are at risk for seizures. To conduct the independent t-test a hypothesis will be formulated: Can a seizure be successful induced and treated in patient with a diagnosis of epilepsy as well as a patient at risk for epilepsy. To interpret my findings both patients will be set up for EEG treatment and the normal process of treatment will be conducted. The patients will then be individually interviewed on what they think could have been done better or differently. If seizures can be induced in both diagnosis ed patients with epilepsy and those at risk for epilepsy; safe ways to treat the condition can be implemented. This could help EEG testing shift from “trying to pinpoint” previous seizure activity to “stopping” seizure activity before it happens.
Bevans, R. (2020, May 20). Choosing the Right Statistical Test: Types and Examples. Retrieved from https://www.scribbr.com/statistics/statistical-tes…
Discussion 2
Statistical-analysis tools make it easier to sort through the data gathered in research. They can be as simple or manual in an Access data table or Excel spreadsheet or more complex and more automatic with a tool such as the Statistical Package for Social Science. (Data and Statistics for Social Sciences (n.d.) NUR 400 Denver School of Nursing Week 10 Analysis in Action Discussion
Excel is user friendly, and I have quite a bit of experience in both Excel and Access tables so these would be the tools I would be most comfortable in utilizing. Excel can easily create charts and graphs from the data as to quickly see the comparable or contrasting results in my research participants showing if there is any adverse effect in long-term prophylactic use of H2 Blockers. Access tables organize the data to allow me to pull queries of data from questionnaires, physician check-ups, etc. The questionnaires could even be in an Access table for the participants to answer them for the data to be accessed quicker. These tables could also be exported to excel to create graphs or charts.
References:
Data and Statistics for Social Sciences: (n.d.). Retrieved from
