NSG-502- Advanced Nursing Research Module IV Discussion Post: Objectives, Questions, and Hypotheses

NSG-502- Advanced Nursing Research Module IV Discussion Post: Objectives, Questions, and Hypotheses

Distinguishing between quantitative and qualitative research holds paramount significance, as it not only shapes the essence of a project but also molds its discoveries and ensuing conclusions (Gray et al., 2016). Understanding the disparities between these two research paradigms aids in selecting the most suitable approach for a given project, as different undertakings align better with specific research types. Notably, these research types exhibit substantial differences across various dimensions. At their core, the key divergence lies in the data they employ, with quantitative research leaning towards numerical data and qualitative research focusing on textual data. This fundamental distinction subsequently influences various other facets of research. Given the nature of data in each approach, the objectives and hypotheses they formulate diverge as well.

In quantitative research, hypotheses are crafted for subsequent testing using collected numerical data. The precision of numerical data offers a clear-cut method for hypothesis testing. In contrast, textual data in qualitative research tends to be more open-ended, fostering the generation of multiple ideas and concepts. Consequently, hypotheses in qualitative research serve to delve deeply into ideas and can, in turn, lead to the formulation of additional hypotheses as they are explored through textual data (Chigbu, 2019). The nature of data in each research paradigm also has a pronounced impact on their objectives and research questions.

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Quantitative objectives are performance metrics, readily measurable due to their association with numerical data. Conversely, qualitative objectives defy quantification, assuming a more subjective character, as they hinge on the interpretation of textual data, which is inherently challenging to quantify. In a parallel vein, qualitative research questions typically exhibit subjectivity, exploration, and open-endedness, centering on understanding, experience, and meaning. In contrast, quantitative research questions revolve around numerical aspects, aiming to establish relationships, draw comparisons, and provide descriptions of diverse variables (Gray et al., 2016).

References:

Chigbu, U. E. (2019). Visually hypothesising in scientific paper writing: Confirming and refuting qualitative research hypotheses using diagrams. Publications, 7(1), 22.

Gray, J. R., Grove, S. K., & Sutherland, S. (2016). Burns and Grove’s The Practice of Nursing Research-E-Book: Appraisal, Synthesis, and Generation of Evidence. Elsevier Health Sciences.

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Dr. Fagan
Very clear and to the point. Now it would be a good exercise for you to search for a quantitative research study and a qualitative research study and compare the two in real time. Thank you.
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View profile card for Idida Aleman Musial Idida Aleman Musial
Sep 27, 2020 10:39 PM

Qualitative Objectives: A Realm of Exploration

Qualitative research opens up a realm of exploration where researchers have the freedom to express the lived experiences of individuals. Maher et al. (2018) emphasize that “The researcher must also employ imaginative insight as they attempt to make sense of the data and generate understanding and theory. Design research is also dependent upon the researchers’ creative interpretation of the data.” In this domain, creative interpretation of data is paramount. Qualitative research thrives on understanding individual perceptions and experiences within specific contexts. It eschews the use of hypotheses, a hallmark of quantitative research, due to its reliance on logic and the quantifiable nature of numerical data (Wang et al., 2017).

In contrast, quantitative research method employs hypotheses to explain relationships between variables (Wang et al., 2017). It relies on a logical and systematic approach, and its objectives are often explicit and easily measurable, given the numerical nature of the data under examination. Qualitative research, by its very nature, tends to be more subjective, exploratory, and open-ended. It delves into the realms of understanding, experience, and meaning (Maher et al., 2018). In essence, quantitative and qualitative research methods represent distinct paradigms with unique objectives, questions, and approaches.

References:

Maher, C., Hadfield, M., Hutchings, M., & de Eyto, A. (2018). Ensuring rigor in qualitative data analysis: A design research approach to coding combining NVivo with traditional material methods. International Journal of Qualitative Methods, 17(1), 160940691878636. doi:10.1177/1609406918786362

Wang, C., Wu, S., Chen, W., Lv, Q., & Che, D. (2017). Correlations of coal chemical properties in china: Quantitative analysis from thousands of data. Energy Procedia, 105, 1339-1343. doi:10.1016/j.egypro.2017.03.491

NSG-502- Advanced Nursing Research Module IV Discussion Post: Objectives, Questions, and Hypotheses