Data analysis is key for discovering credible findings from implementing nursing studies. Discussion and conclusions can be made about the meaning of the findings from the data analysis.
- 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.
After collecting data, the next important step in research is analyzing the data. Descriptive and inferential statistics are commonly used to analyze quantitative data. As the name suggests, descriptive statistics refers to data analysis that enable the researcher to describe, show, or summarize data in a meaningful way (Houser, 2018). One thing I found interesting about descriptive statistics is that a researcher can be able to determine patterns emerging from the data. Through descriptive analysis, simpler interpretations of data are provided by analyzing the data in form of tables, graphs, and charts among others. On the other hand, inferential statistics is used to generalize the results of a study from a random probability sample back to the population from which the sample was drawn. It is used to infer based on a given sample to make conclusions. One interesting thing I learned about inferential statistics is that we can use it to judge the probability of something occurring based on the behavior of the sample…Please click the icon below to purchase the full answer at only $5.