Discussion: Qualitative data have been described as voluminous and sometimes overwhelming to the researcher.
NRS 433 Topic 2 DQ 1 Assessment Description
Qualitative data have been described as voluminous and sometimes overwhelming to the researcher. Discuss two strategies that would help a researcher manage and organize the data.
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NRS 433 Topic 2 DQ 1 Qualitative Data Management and Organization Sample
Researchers collect data from many sources and use different methods. To make it meaningful, researchers should organize data appropriately to facilitate seamless and accurate analysis. Qualitative data is collected non-numerically to describe qualities and characteristics. It is usually overwhelming to the researcher since it is collected in raw formats and needs further processing to show the relationship between variables (Lester et al., 2020). Researchers can manage and organize such voluminous and sometimes overwhelming data using various strategies.
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A data management plan is one of the most effective management strategies for qualitative data. NRS 433 Topic 2 DQ 1 As Busetto et al. (2020) posited, researchers should have an elaborate plan for collecting and analyzing information. This implies that data collection tools and methods are explicit before a study commences. The other reliable approach for improving data management and organization is to collect data using one method. For instance, researchers can exclusively rely on interviews or focus group discussions to evaluate participants’ perceptions of a phenomenon. Exclusive utilization of a single data collection procedure makes data analysis easier and less straining. More importantly, it reduces the time that could have been spent analyzing cumbersome data.
Coding is also a reliable approach to managing and organizing qualitative data. Saldaña (2021) described coding as labeling qualitative data to enable a researcher to identify major themes and relationships. For instance, if a researcher collects information about nurses’ job satisfaction, elements such as motivation, leadership support, and workload can be used as labels. The labeling process can be deductive or inductive. Deductive coding involves using predetermined codes to label data, while inductive coding involves developing codes based on collected information (Haug et al., 2021). Deductive coding can be easy to implement. Next, researchers can thematically analyze the coded data to identify major themes and conclude their findings.
NRS 433 Topic 2 DQ 1 References
Busetto, L., Wick, W., & Gumbinger, C. (2020). How to use and assess qualitative research methods. Neurological Research and Practice, 2, 1-10. https://doi.org/10.1186/s42466-020-00059-z
Haug, S., Rietz, T., & Maedche, A. (2021). Accelerating deductive coding of qualitative data: an experimental study on the applicability of crowdsourcing. In Proceedings of Mensch und Computer 2021 (pp. 432-443). https://doi.org/10.1145/3473856.3473873
Lester, J. N., Cho, Y., & Lochmiller, C. R. (2020). Learning to do qualitative data analysis: A starting point. Human Resource Development Review, 19(1), 94-106. https://doi.org/10.1177/1534484320903890
Saldaña, J. (2021). The coding manual for qualitative researchers. sage. NRS 433 Topic 2 DQ 1
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