The document discusses the importance of data analysis in nursing studies for deriving credible findings. It covers descriptive, inferential, and qualitative analyses, emphasizing their roles in interpreting data. Additionally, it compares clinical and statistical significance, highlighting the relevance of these concepts to nursing practice.

1. Data Analysis and Results
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.