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  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.



Subject Nursing Pages 3 Style APA


Data Analysis and Results

Descriptive analysis refers to the act of grouping data into a form. This particular grouping is based on known variable tendencies throughout the set, and understanding the relationship between them. It is understanding the behavior of particular elements in the data set which in turn helps in statistical analysis (Lester et al., 2020). Such variables include the mean, median and least variables in the set. Some of the measures of descriptive analysis include measures of central frequency, dispersion or variation and position.

       Inferential analysis in statistics, on the other hand, refers to the sampling of a larger data set like a population and representing it in a smaller sample size with the same characteristics. It is based on the general assumption that a large population size must incur a margin of error during research and may therefore be represented in a smaller size with less errors incurred (Lester et al., 2020).  An example is representing certain aspects of the population of a country with percentages and graphs which accounts for and draws its information from the larger population statistics.

                Qualitative analysis of data refers to the measurement of the how and what as opposed to the numerical values that it has. It is impossible to, therefore, measure qualitative data and it cannot be used on a larger population size as a result (Jackson & Bazeley, 2019). In nursing, for example, it is noting that certain patients respond with certain side effects to a certain drug, and not looking at the number of patients affected by the effect. A nurse may benefit to know that a certain drug X can induce sleep pain inpatients for example and this is more clinically significant in its use as opposed to just understanding the number of people who used it in a day. It is, therefore, important to know the clinical significance as opposed to the statistical one in nursing so as to know the how and why as well.


Jackson, K., & Bazeley, P. (2019). Qualitative data analysis with NVivo. Sage.

Lester, J. N., Cho, Y., & Lochmiller, C. R. (2020). Learning to do qualitative data analysis: A

starting point. Human Resource Development Rev
















Appendix A:

Communication Plan for an Inpatient Unit to Evaluate the Impact of Transformational Leadership Style Compared to Other Leader Styles such as Bureaucratic and Laissez-Faire Leadership in Nurse Engagement, Retention, and Team Member Satisfaction Over the Course of One Year

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