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The Assignments Data analysis is key for discovering credible findings from implementing nursing studies. Discussion and...

The Assignments

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.
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Descriptive data is a summary statistic that quantitatively describes or summarizes features of a collection of information.

Inferential statistics makes inferences about populations using data drawn from the population. Instead of using the entire population to gather the data, the statistician will collect a sample or samples from the millions of residents and make inferences about the entire population using the sample

Qualitative data analysis is simply the process of examining qualitative data to derive an explanation for a specific phenomenon.

Healthcare data management is the process of analyzing all the data collected from several sources. This helps the healthcare organizations treat their patients in a holistic manner, provide personalized treatments and enhance health outcomes. There must be efficient tools and methods to create value from the data. To make informed practice decisions, nurses need access to aggregate data about their patients and the impact of their care, and they need to know how to interpret that data

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