NSG 502 Research – Week 10 Reply

NSG 502 Research – Week 10 Reply

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My research proposal focuses on analyzing the impact that COVID-19 had on new nurse’s transition to practices based on changes the pandemic created in their orientation process. For a researcher, the first and most important step in data analysis is to immerse oneself in the data collected in order to become familiar with the information collected and gain a general idea about themes conveyed by the informants (Gray & Grove, 2020, p. 344). I intend to use this familiarization or immersion process, as a way to identify themes or patterns important for the research that will need to be coded in order to facilitate further analysis.

According to Gray and Grove (2020, p.344), coding or organization of data, selection of specific elements of data for categories, and naming of these categories all reflect the philosophical basis of the study. With regard to my PICO project, I think that using axial or descriptive coding methods will better label and classify data according to concepts elaborated but also using participants’ explicit words. After coding, I intend to proceed by using thematic and constant comparison analysis.

Thematic analysis entails selecting within the information collected three to six overriding abstract ideas that summarize the subject of interest while constant comparison will help me looks at similarity or differences between new and existing data (Gray & Grove, 2020). Even though my PICO focuses on a fairly new phenomenon, I think that the validity of the final findings would be undermined without the application of data comparison during the analysis process.

Finally, I think that the use of Computer-Assisted Data Analysis Software will be a very beneficial tool for this project. These programs have proven to facilitate sorting, organizing, and presenting data faster (Watkins, 2017). They also make it easier to remotely share file between groups of researchers analyzing data, which can be very convenient during a pandemic.

References

Gray, J. R., & Grove, S.K. (2020). Burns and Grove\’s The Practice of Nursing Research: Appraisal, Synthesis, and Generation of Evidence, ninth edition. Elsevier.

Watkins, D. C. (2017). Rapid and rigorous qualitative data analysis: The RADaR technique for applied research. International Journal of Qualitative Methods, 16(1), 1609406917712131.