The Data Analysis And Results Discussion Paper

The Data Analysis And Results Discussion Paper

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 The Data Analysis And Results Discussion Paper.

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Data analysis is the process of applying statistical procedures and techniques to evaluate data and draw inductive inferences. I learned that quantitative data can be analyzed using descriptive or inferential statistics. Descriptive statistics help in describing and understanding the features of a particular data set by giving summaries of the sample and data measures. The common types of descriptive statistics include measures of central tendency (mean, median, and mode), measures of variability (standard deviation and variance), and frequency distribution. Inferential statistics help in drawing conclusions about the general population based on the analysis of a representative sample that has been drawn (Benjamin et al., 2018). Tools of inferential statistics include regression models and hypothesis testing models (such as t-tests, f-tests, and analyses of variance)The Data Analysis And Results Discussion Paper.

Qualitative analysis of data helps in drawing meaningful knowledge from the data and building a logical pattern. Some of the categories of qualitative data analysis include content and narrative analysis. I found it interesting that hypothesis testing is done using various tests. It was also fascinating to discover that measures of central tendency are used to depict the distribution and skewness of a data set. Data analysis is necessary in nursing as it helps healthcare providers make effective and sound decisions. Also, data analysis is important, as the results can be used in determining the epidemiology of disease, formulating policies, and taking corrective action where necessary The Data Analysis And Results Discussion Paper.

Statistical significance indicates a relationship between variables and their relevance in practice based on certain parameters, such as the confidence interval. Clinical significance indicates the importance of research results in the real world. It is a decision based on the relevance of the relationship between variables or a particular treatment. Both statistical and clinical significance are important parameters (Kaliyadan & Kulkarni, 2019). Clinical significance influences the behavior of healthcare providers as it is a subjective interpretation of research findings. In evidence-based research, statistical significance is determined before clinical significance. Given that many statistically significant findings have clinical significance, I would use clinical significance to support my project outcomes The Data Analysis And Results Discussion Paper.

References

Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E. J., Berk, R., . & Johnson, V. E. (2018). Redefine statistical significance. Nature human behaviour, 2(1), 6-10.

Kaliyadan, F., & Kulkarni, V. (2019). Types of variables, descriptive statistics, and sample size. Indian dermatology online journal, 10(1), 82. The Data Analysis And Results Discussion Paper