Description
Wk 6 Discussion – Qualitative Study
A substantive post should follow these criteria:
Range from 150 to 250 words (excluding references). You can see the word count under the discussion entry box or type your response in Word to see the word count there prior to posting it in the discussion.
Integrate theory, research, and/or professional experience
Include specific examples and/or substantiating evidence
Include in-text citations and references in APA format (for at least initial post)
Stay on topic and address the course objectives
Demonstrate proper spelling, grammar, and scholarly tone
My post:
Sampling is a key area where saturation and redundancy are fundamental concepts in qualitative research. Saturation occurs when no further statistics or themes are identified from the data, thus implying that the sample size is adequate for the study (Rahimi & Khatooni,2024). Another crucial concept, redundancy, plays a significant role in ensuring the quality of the collected data. It refers to the point where the data duplicates, indicating that no new information is being discovered (Rahimi & Khatooni,2024). When combined with saturation, these concepts ensure that the sample size is sufficient to capture all the experiences or views relevant to the research question.
In addition, extra ways of increasing the credibility of qualitative data include saturation and redundancy, triangulation, member checking, and thick description (Rahimi & Khatooni,2024). Triangulation, a technique that entails using more than one type of data, technique, or investigator, is crucial in confirming the results. Member checking enables the participants to assess and confirm the researcher’s interpretations of the findings in a credible way. The thick description offers a rich contextual understanding of the findings, making it easy for the readers to appreciate the study in depth, thus increasing the credibility and transferability of the study.
In the article by Nwakoby et al. (2020), even though the study is based on quantitative data collection, some aspects of member checking can be identified. The researchers used feedback from the participants in developing the heart failure self-care application; the tool was helpful to the intended users (Nwakoby et al., 2020). This approach helps in the qualitative part of the study as it involves participant checks of the findings to ensure their credibility with improving the study’s trustworthiness.
References
Nwakoby, A., Wali, S., Wijesena, D., Mbuagbaw, L., & Demers, C. (2020). Quantitative Data Collection to Enhance Use of a Heart Failure Self-care Application. Journal of Cardiac Failure.https://doi.org/10.1016/j.cardfail.2020.09.271
Rahimi, S., & Khatooni, M. (2024). Saturation in qualitative research: An evolutionary concept analysis. International journal of nursing studies advances, 6, 100174. https://doi.org/10.1016/j.ijnsa.2024.100174
REPLY TO BOTH IN ONE POST( SEE BELOW):
POST ONE FROM Priscilla
When I first read the post on saturation and redundancy, I thought it was meant to be negative in research, and while reading this week’s topic and assigned reading help enlighten my knowledge on this type of sampling method, I still think that there is some negativity to picking a sample size just base off of “getting the same answers.” Redundancy could have a negative impact in research where researchers may be getting the same statistics/outcomes but it can also mean they are getting information that is wrong over and over again if the process is not double checked. Puljak & Lund (2023) defines redundancy as unnecessary because it is more than needed. “It is also possible that someone could purposefully produce a biased systematic review to use it for their own vested interests” (Puljak & Lund, 2023). Researchers could make information show up as redundant to support whatever bias they want to produce. Redundancy and saturation are two words that are mainly negatively used in everyday language, which is why I thought it would mean the same in research. After reading this week’s assigned reading, it gave me new information and point of view on how it could benefit research.
References:
Puljak, L., & Lund, H. (2023). Definition, harms, and prevention of redundant systematic reviews. Systematic reviews, 12(1), 63. https://doi.org/10.1186/s13643-023-02191-8
POST TWO FROM TAN :
Hi ,
Before this course, I had never considered saturation within qualitative studies. I am happy that it is a topic being discussed as it details a component of the reliability of data. Polit and Beck (2021) state that data saturation is needed to ensure that complete information is obtained and that it gives us enough in-depth data to distinguish patterns, categories, and dimensions of a particular topic being studied. For this week’s assignment, I am utilizing a qualitative study surrounding the perceptions of those diagnosed with type 2 diabetes and the complications they have faced. After 28 semi-structured interviews that were facilitated utilizing open-ended questions, De Baets et al. (2024) met complete data saturation, and new data were no longer revealed. This week’s discussion has helped elucidate the material of choice this week. By simply reading the book, I struggled to pick up on key details, however, through participating in this week’s discussions, I feel that I now have a better understanding of much of the material.