Integrate outside scholarly sources when required
Data analysis is very important – it crunches all of the numbers or themes and tells you what you have at the end. Unfortunately (for me, anyway), if it is a quantitative study, you are left with a bunch of statistics.
Mercifully for all of us, we are not asking you to perform statistical analysis on any data – you just have to tell us what you’ve learned about these statistics, and why data analysis is so important
. Share what you learned about descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data; include something that you learned that was interesting to you and your thoughts on why data analysis is necessary for discovering credible findings for nursing.
Compare clinical significance and statistical significance; include which one is more meaningful to you when considering application of findings to nursing practice
Remember, you have to discuss three types of analysis: descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data. When you are describing the qualitative analysis, make sure you are discussing how the data is analyzed, not how it is collected or what qualitative research is. You may have to dig a little deeper to find this.
