Topic 2 DQ 1
Start Date & Time Due Date & Time Points
Sep 5, 2022, 12:00 AM Sep 7, 2022, 11:59 PM 8
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.
NRS-433V-Topic 2 DQ1
Qualitative data is generally defined as data that can be observed and measured, but which cannot be reduced to a numerical value. This means that qualitative data is typically descriptive in nature, and provides insights into the underlying reasons or motivations behind certain behaviors or attitudes.
Qualitative data can be extremely valuable for researchers, as they provide an in-depth understanding of a given topic or population. However, because qualitative data are often voluminous and unstructured, they can be overwhelming and difficult to analyze (Raskind et al., 2019). There are a number of strategies that researchers can use to make sense of qualitative data. One approach is to read all the data thoroughly and take note of key themes that emerge from the text (Moser & Korstjens, 2018). Another approach is to code the data using specific categories or keywords. Coding of qualitative data entails assigning codes or labels to specific pieces of data that represent certain themes or concepts. Once the data is coded, it can be easily sorted and analyzed.
Finally, researchers can use software tools to help them analyze large amounts of qualitative data. One of the best software tools that is critical in the management of qualitative data is database or the database for the qualitative data. A database can be used to store all of the relevant information about each piece of data including the code, the date collected, who collected it, and any notes about it (Raskind et al., 2019). This will help the researcher keep track of all the data and make sure that nothing is missed.
Effective management of qualitative data is therefore essential in order to obtain accurate and meaningful results from research studies. Qualitative data sets can be extremely large and complex, so managing them effectively can be a challenge. However, there are a number of software programs available that can help researchers to systematically organize and analyze their data.
Moser, A., & Korstjens, I. (2018). Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis. European journal of general practice, 24(1), 9-18. https://doi.org/10.1080/13814788.2017.1375091
Raskind, I. G., Shelton, R. C., Comeau, D. L., Cooper, H. L., Griffith, D. M., & Kegler, M. C. (2019). A review of qualitative data analysis practices in health education and health behavior research. Health Education & Behavior, 46(1), 32-39. https://doi.org/10.1177/1090198118795019
Topic 2 DQ 2
Start Date & Time Due Date & Time Points
Sep 5, 2022, 12:00 AM Sep 9, 2022, 11:59 PM 8
The three types of qualitative research designs are phenomenological, grounded theory, and ethnographic
research. Compare the differences and similarities between two of the three types of qualitative studies and
give an example of each.
NRS-433V-Topic 2 DQ 2
There are a few different qualitative research processes that can be used, depending on the research question and the type of data that is being collected. Phenomenological research is often used when studying people’s subjective experiences or their innermost thoughts and feelings. The goal of phenomenological research is to understand the essence of the experience, or what it feels like to experience something (Vom, 2019). This type of research typically involves in-depth interviews with a small number of participants, who are asked to describe their experiences in as much detail as possible. The data is then analyzed to identify common themes or patterns. Ethnographic research is often used when studying cultures or social groups. The goal of ethnographic research is to understand the customs and cultures of a given study participants or respondents.
Phenomenological and ethnographic research are two very different approaches to studying human behavior. Phenomenological research is about understanding the subjective experience of individuals, while ethnographic research focuses on observing and describing the culture and social behavior of a group. For example, when a researcher want to study how people experience pain; to do this using a phenomenological approach, they might conduct in-depth interviews with people who have chronic pain, asking them to describe what it feels like, how it affects their lives, etc (Jamali, 2018). With an ethnographic approach, on the other hand, they would observe people in their natural environment (e.g., their home or work), taking note of how they interact with others and how they talk.
Phenomenological research focuses on the individual’s perspective, looking at how they see and experience the world. This type of research is often conducted through interviews, in which the researcher encourages participants to share their thoughts and feelings about a particular topic. Ethnographic research, on the other hand, takes a more holistic approach, delving into the culture as a whole to understand how it shapes individuals’ lives.
On similarities, phenomenological and ethnographic research are both methods used to study individual experience within a particular cultural context. Both approaches seek to understand how people make sense of their world and how they interact with others within it. Examples of phenomenological research include: -studying how women experience childbirth,-investigating how people with spinal cord injuries experience life after their injury; and -exploring the lived experiences of transgender individuals (Jamali, 2018). On the other hand, examples of ethnographic research include: -A study of the social norms and values of the Amish community in Pennsylvania, -A study of the religious rituals and practices of a Hindu sect in India, and -A study of the traditional healing methods used by healers in a remote village in Africa.
Jamali, H. R. (2018). Does research using qualitative methods (grounded theory, ethnography, and phenomenology) have more impact?. Library & Information Science Research, 40(3-4), 201-207. https://doi.org/10.1016/j.lisr.2018.09.002
Vom Lehn, D. (2019). Phenomenology‐based ethnography for management studies and organizational analysis. British Journal of Management, 30(1), 188-202. https://doi.org/10.1111/1467-8551.12309
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