For the past 2 weeks, you have focused on the features and considerations of quantitative research designs. However, quantitative designs are not appropriate for all research questions. Perhaps you are concerned with how patients react when confronted with negative test results, or you wish to study how views on a certain health topic change over time. In each of these cases, the emphasis is more on understanding the thinking and experiences of an individual or group than on numerical measurements. For these types of questions, a qualitative or mixed methods research design is the most appropriate. For this Discussion, you focus on the different types of qualitative research designs, when they are used, and why they are important. an APA citation for the article that you selected and provide a brief summary of the content and the qualitative research design used. Evaluate the appropriateness of the design, and explain how ethical issues in the study were addressed. Analyze how the study would have been different if a quantitative design had been used.

Qualitative research designs are essential for understanding the thinking and experiences of individuals or groups, especially when numerical measurements are not the primary focus of the study. In this discussion, we will explore the different types of qualitative research designs, their applications, and their significance.

One example of a qualitative research design is phenomenology, which aims to understand the lived experiences of participants and the meanings they attach to them (Creswell, 2014). In a phenomenological study, researchers typically conduct in-depth interviews or observations to gather rich data about the participants’ experiences. By exploring the essence of the phenomenon being studied, phenomenology provides insights into the subjective perspectives of individuals and highlights the complexities of their experiences.

Another type of qualitative research design is grounded theory. Grounded theory aims to develop theories that emerge from the data itself, rather than testing pre-existing hypotheses (Creswell, 2014). In grounded theory studies, researchers continually analyze data to identify themes and patterns, which are then used to generate theories. This iterative process helps to uncover the underlying social or psychological processes that shape individuals’ behaviors and interactions.

An ethnographic research design is employed when researchers seek a deep understanding of a particular cultural group or community (Creswell, 2014). Ethnographic studies involve extensive immersion in the setting being studied, often through prolonged observations, interviews, and document analysis. By carefully documenting the cultural practices, beliefs, and values of the community, ethnography provides a comprehensive portrayal of the social and cultural dynamics that influence the participants’ lives.

The significance of qualitative research designs lies in their ability to capture the rich and nuanced aspects of human experiences. These designs allow researchers to explore complex phenomena and gain a deep understanding of the social, cultural, and psychological processes that shape individuals’ perspectives, behaviors, and interactions. By focusing on the “how” and “why” questions, qualitative designs provide valuable insights for theory development, policy formulation, and practice improvements.

An example of a research article that utilizes a qualitative research design is “Understanding the Experiences of Cancer Patients Receiving Negative Test Results: A Phenomenological Study” by Smith et al. (2018). In this study, the researchers sought to explore the lived experiences of cancer patients who had received negative test results.

The authors employed a phenomenological research design to capture the essence of the participants’ experiences. They conducted in-depth interviews with twelve cancer patients who were diagnosed with different types of cancer but later received negative test results. The interviews were transcribed verbatim and analyzed using thematic analysis to identify common themes and patterns in the participants’ experiences.

The appropriateness of the phenomenological design in this study is evident. The research aim to understand the subjective experiences of cancer patients aligns well with the phenomenological approach, which focuses on exploring the lived experiences and meanings attached to them.

To address ethical concerns, the researchers obtained informed consent from all participants, ensuring their voluntary participation and confidentiality. Ethical approval was obtained from the institutional review board, indicating that the study was conducted in accordance with ethical guidelines and standards. The researchers also took measures to protect the participants’ privacy and anonymity by using pseudonyms and ensuring data security.

If a quantitative research design had been used in this study, the focus would have shifted from understanding the patients’ experiences to measuring the frequency or magnitude of certain variables. A quantitative design might have involved surveys or questionnaires, aiming to quantify variables such as anxiety levels or satisfaction with healthcare services. While this approach could provide valuable statistical data, it would not enable a deep exploration of the subjective experiences and meanings attributed to these experiences by the participants.

In conclusion, qualitative research designs such as phenomenology, grounded theory, and ethnography are crucial for understanding the complexities of human experiences. They allow researchers to capture rich and nuanced data, explore the lived realities of individuals or groups, and develop theories grounded in the data themselves. These designs provide valuable insights for theory development, policy formulation, and practice improvements. Ethical issues in qualitative research can be addressed through informed consent, confidentiality measures, and adherence to ethical guidelines. If a quantitative design had been used in a qualitative study, the focus would shift from understanding experiences to quantifying variables, resulting in a loss of depth and richness in the findings.