Nursing Research: Reading Using, and Creating Evidence

Nursing Research: Reading Using, and Creating Evidence

An inferential analysis is the generalization of the results obtained from the representative samples to correspond to the population from which the sample was drawn (Wyllys, 2018). In most instances, inferential is needed if the sample is randomly obtained with a promisingly high response rate. A medical example of inferential analysis concludes that drug abuse is common among the youth after randomly identified youths proved to be drug abusers.

Descriptive analysis is a variety of analyses that describe a given data and summarize the identified data strategically to reveal the trends that may emerge from the data to meet the data requirements (Bhat, 2019). A medical example of descriptive analysis is identifying that all the participants are not affected in given research about cancer.

Qualitative data analysis identifies and interprets identified patterns and trends in textual data to identify their relationship with the issue of concern (Bhat, 2019). A medical example of qualitative data analysis is the observed shingles in patients affected with "herpes zoster".

Lesson learned on the importance of data analysis.

Data analysis is significant in determining credible findings as it helps avoid biases by statistical treatment assistance (Michael, 2020). In research, correct findings are deterred by bias identification, and therefore a correct analysis prevents biases that translate to accurate findings.

Statistical significance refers to the realness or the faultiness of the differences within the study groups. Clinical significance is a term used to refer to a course where the provided treatment had significant effects and genuine effects. Statistical significance is mainly assigned to naturally occurring results rather than those that occur by chance (Matt, 2018). Clinical significance largely depends on statistical significance due to the computation of the p-values and the significance level. Clinical significance is more meaningful when considering findings in the nursing practice application.

References

Bhat, A. (2019, June 25). Data analysis in research: Why data, types of data, data analysis in qualitative and quantitative research | QuestionPro. QuestionPro. https://www.questionpro.com/blog/data-analysis-in-research/

Matt. (2018). Clinical Significance vs. Statistical Significance - Side-by-Side Comparison. Mhaonline. https://www.mhaonline.com/faq/clinical-vs-statistical-significance

Michael. (2020, October 19). Importance of Data Analysis in experimentation paraphrase Calculator. https://paraphrase.projecttopics.org/importance-of-data-analysis-in-a-research-paper.html

Wyllys, R. E. (2018). Teaching descriptive and inferential statistics in library schools. Journal of Education for Librarianship, 3-20.