“The sample for a rigorous qualitative study is not as large as the sample for a rigorous quantitative study. The researcher stops collecting data when enough rich, meaningful data have been obtained to achieve the study aims” (Grove, Burns, & Gray, 2013). “A substantial sample may be required to generate power sufficient to demonstrate significance” (Grove, Burns, & Gray, 2013) for a quantitative study. “Small scale quantitative studies may be less reliable because of the low quantity of data” (Mcleod, 2018) Qualitative question: How do eating disorder patients with bulimia nervosa perceive cognitive behavioral therapy during their inpatient stay? Moving forward with this research question I would need patients who are in an inpatient setting, ones with bulimia nervosa, and I would perform interviews with those patients. The questions I would ask would include open ended questions allowing the patients to answer anyway they felt and me not persuading them to answer a certain way causing bias in the study. Quantitative question: In patients with an eating disorder, specifically bulimia nervosa, how does the side effects of the mental illness affect the patients overall health? If I were to move forward with this question I would need to have patients who are diagnosed with an eating disorder, specifically bulimia nervosa. I would look at the research out there currently showing the different side effects on the body that comes from the disease. I could compare those stats with statistics from an inpatient unit on those eating disorder patients. This way I could show what is the current research on the disease and then have real examples to show for the research. References: Grove, S. K., Burns, N., & Gray, J. (2013). . St. Louis, MO: Elsevier/Saunders. Mcleod, S. (2018, December 05). Qualitative vs. Quantitative Research. Retrieved from https://www.simplypsychology.org/qualitative-quantitative.html

The size of the sample in a qualitative study is typically smaller than that in a quantitative study. This is because the goal of a qualitative study is to gather rich, in-depth data that provides a deep understanding of the research question, rather than generalizable findings that can be applied to a larger population (Grove, Burns, & Gray, 2013).

In qualitative research, the researcher stops collecting data when they have obtained enough rich and meaningful data to achieve the study aims. This is known as saturation, which is reached when new data no longer provide additional insights or contribute to further understanding of the research question (Grove, Burns, & Gray, 2013).

On the other hand, in quantitative studies, a larger sample size is often required to generate sufficient statistical power to demonstrate significance. Statistical power refers to the ability to detect a true relationship or difference in a sample, if it exists in the population (Grove, Burns, & Gray, 2013). Therefore, larger sample sizes are needed to achieve adequate statistical power, particularly when detecting small effects or when the variability within the sample is high.

That being said, small-scale quantitative studies may be considered less reliable due to the low quantity of data. With a smaller sample size, the potential for sampling error and bias increases, which can affect the accuracy and generalizability of the findings (Mcleod, 2018). However, small-scale quantitative studies can still provide valuable insights and contribute to the existing body of knowledge, particularly in areas where limited research has been conducted.

To illustrate the difference between qualitative and quantitative research, let’s consider two research questions related to eating disorders, specifically bulimia nervosa.

The qualitative research question would aim to explore the perceptions of eating disorder patients with bulimia nervosa towards cognitive-behavioral therapy during their inpatient stay. In this case, the researcher would select a small sample of patients who are in an inpatient setting and conduct interviews with them. The questions asked would be open-ended, allowing the patients to express their thoughts and experiences without influencing their responses (Grove, Burns, & Gray, 2013).

On the other hand, the quantitative research question would investigate how the side effects of bulimia nervosa impact the overall health of patients with an eating disorder. To explore this question, the researcher would need to gather data from a larger sample of diagnosed patients. The research would involve examining existing literature on the side effects of the illness and comparing it with statistical data collected from an inpatient unit that treats eating disorder patients. This approach would help provide a comprehensive understanding of the disease’s impact and allow for comparisons between research findings and real-life examples (Grove, Burns, & Gray, 2013).

In summary, the sample size in qualitative research is smaller because the aim is to obtain rich and meaningful data to achieve the study’s objectives. In contrast, quantitative studies often require larger sample sizes to achieve adequate statistical power. While small-scale quantitative studies may have limitations in terms of reliability, they can still contribute valuable insights in areas where research is limited. Both types of research methodologies have their strengths and can provide valuable contributions to the field of study.