Discuss the concept of vulnerable subjects. Why would a researcher or institutional review board (IRB) need to consider this concept when planning a research project? Describe the role of the Institutional Review Board (IRB) in the review of the research plan. Vulnerable subjects refer to participants in research that do not have the ability to consent. When planning a research topic considering vulnerable participants is essential to ensure no harm comes to the research participants. Vulnerable subjects include children, the elderly, and the mentally defective.
If someone is incapable of making a decision for themselves due to impairment or due to their age they are vulnerable. If a person has no control over their lives, such as prison inmates, then they would also be considered a vulnerable subject. A researcher or institutional review board (IRB) would consider the concept of vulnerable subjects to ensure no one become harmed during the research. Past human violations in research have led to the need to have IRB review the research plan to ensure if there are any vulnerable participants they will not be harmed. There are certain ethical obligations that must be met in the research working when working with human subjects (NIH, 2011).
Human experimentation has a negative past but in truth thanks to scientific discoveries there have been many positive changes for mankind. For example thanks to research there are now cures for all types of disease and treatments for all types of disorders. The problem with human experimentation is past horrific experiments that have forever harmed science and humanity have created a negative connotation associated with to human experimentation especially concerning the actions of Nazi in experimenting on Jewish people and other experiments such as the Tuskegee Syphilis Study. While some human experimentation did cause harm to the participants in current society ethical standards have been developed to stop this type of harm.
Human experimentation is justified if it creates a benefit to society and limits harm to the participants. In order to ensure the research can be tested for human use it requires research with human participants. Human participants should also provide informed consent which means they have been informed fully on the research and understand what it entails.
Within the discussion, speak to the strengths and weaknesses of the designs. Examine and discuss the data collection issues for a qualitative study, including the relationships between the researcher and the participants and the reflections of the researcher on the meanings obtained from the data. Carefully
consider the idea of saturation. Discuss how you can determine that saturation has occurred within a research project? Qualitative design refers to a research approach where data is developed on the research topic and then rich, descriptions are created on the data that was developed.
In the qualitative research design observations are made in order to give the researcher insight into the phenomena being studied (Neil, 2006). Qualitative research design is an intensive examination of a particular phenomena but it is not without its challenges. For one the findings of the research are based on a subject’s point of view. The data collection issues associated with qualitative data collection is more subjective than other approaches and is holistic in nature. The researcher is responsible for identifying the themes in the research ad structuring the findings.
Saturation refers to using too much of the same data in order to develop findings in the research. When too much data on the same topic is part of the research in can result in saturation of the topic. Neil, J. (2006).
Qualitative vs. Quantitative research. Retrieved August 24, 2014 from
Discuss the characteristics of experimental, quasi-experimental and non-experimental. Within the discussion, speak to the strengths and weaknesses of the designs. The non experimental design refers to conducting research without conducting any experiments. Non experimental research requires the collection of data through other means than the experimental the experimental design uses the experiment in order to develop data on the phenomena.
In the experimental design the variables are manipulated and participants are selected randomly (Trochim, 2006). In the quasi experimental design experiments are conducted to collect data but there is no random design. The disadvantage is not as many variable to control. The advantages of the quasi experimental design are its greater external validity and is more time saving than the experimental design. The experimental design tests casual relationships between variables and uses random selection design.
The disadvantage of this approach is it is more costly and time consuming than the other designs. The non experimental design is less costly and time consuming but the results are more reliable and valid. Trochim, W. (2006). Quasi Experimental Design. Retrieved August 24, 2014 from
Paper For Above instruction
Understanding Vulnerable Subjects and Ethical Considerations in Research
The concept of vulnerable subjects is a fundamental ethical consideration in research involving human
participants. Vulnerable subjects are individuals who lack the full capacity to give informed consent or are at increased risk of harm during research activities. This category includes children, the elderly, individuals with mental impairments, prisoners, and other populations that may have limited autonomy (National Institutes of Health [NIH], 2011). Recognizing vulnerable populations is essential for researchers and Institutional Review Boards (IRBs) to ensure that ethical standards are maintained and that harm is minimized or prevented. The IRB plays a pivotal role in the oversight of research protocols, assessing the risks and benefits, especially when vulnerable subjects are involved. It ensures that appropriate safeguards are in place, such as obtaining proper consent or assent from participants, ensuring confidentiality, and providing additional protections tailored to the needs of these populations (Sieber & Tolich, 2013).
Historically, human experimentation has a dark history marked by unethical practices and significant harm inflicted on participants. Notorious examples include the Nazi experiments during World War II, which involved inhumane testing on prisoners, many of whom were Jewish victims, and the Tuskegee Syphilis Study, which observed untreated syphilis in African American men without their informed consent (Gottlieb & Rasinski, 2005). Such unethical research has resulted in profound suffering and has perpetuated mistrust towards scientific inquiry. Nonetheless, scientific and ethical advancements have transformed research practices, emphasizing respect for human rights, voluntary participation, and informed consent. Modern ethical standards, such as those outlined by the Declaration of Helsinki and the Belmont Report, emphasize beneficence, respect for persons, and justice—principles designed to safeguard participants (Beauchamp & Childress, 2013). Human experimentation, when conducted ethically, remains justified if it produces societal benefits, such as medical breakthroughs, provided it respects participants' rights and minimizes risks.
Qualitative research methods seek to understand phenomena through rich, detailed data collection. These designs are characterized by their emphasis on depth over breadth, exploring individual experiences, perceptions, and social contexts. Strengths of qualitative designs include their capacity to provide nuanced insights, flexibility to adapt data collection methods, and the ability to explore complex social phenomena (Creswell, 2014). Weaknesses, however, include limited generalizability, potential for researcher bias, and the subjective nature of analysis. Data collection issues often involve establishing trust and rapport between researchers and participants, managing subjectivity, and ensuring the richness of data. The relationship between researcher and participant is critical, as it can influence responses and interpretations. Reflective practices, such as memoing and peer debriefing, help mitigate bias and enhance credibility.
Saturation—a point at which no new information emerges—guides sample size decision and data adequacy. Researchers determine saturation by monitoring when additional data no longer contribute new themes or insights, signifying comprehensive understanding (Fusch & Ness, 2015).
In contrast, experimental, quasi-experimental, and non-experimental designs differ significantly in their methodologies and purposes. Experimental designs manipulate independent variables and randomly assign participants to conditions, allowing for causal inferences. The strength of this design lies in its control over confounding variables, facilitating precise testing of hypotheses (Trochim, 2006). However, experimental research can be costly, ethically complex, and sometimes impractical, especially in applied settings. Quasi-experimental designs also seek to examine causal relationships but lack random assignment, which introduces potential confounding factors. Nevertheless, they are more feasible in real-world settings and often have greater external validity and efficiency (Shadish, Cook, & Campbell, 2002). Non-experimental designs, such as observational or correlational studies, do not manipulate variables but explore relationships among variables based on existing data. They are less costly and less intrusive but cannot establish causality definitively (Creswell, 2014). Choosing among these options depends on research questions, ethical considerations, resource availability, and the desired level of causal inference.
In conclusion, ethical considerations, the nature of the study, and practical constraints shape research designs. Recognizing vulnerable populations ensures ethical integrity, while understanding various research methodologies allows investigators to select appropriate approaches for their questions. The evolution from unethical human experimentation to rigorous, ethically grounded research highlights the importance of ongoing oversight and adherence to principles that prioritize participant well-being and societal benefits.
References
Beauchamp, T. L., & Childress, J. F. (2013). Principles of Biomedical Ethics. Oxford University Press. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications.
Fusch, P. I., & Ness, L. R. (2015). Are We There Yet? Data Saturation in Qualitative Research. The Qualitative Report, 20(9), 1408–1416.
Gottlieb, M., & Rasinski, K. (2005). Ethics and Historical Perspectives: Ethical Challenges in Human
Research. Journal of Clinical Research, 14(2), 105–113.
National Institutes of Health (NIH). (2011). Research Involving Vulnerable Populations. Retrieved from https://www.nih.gov
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Houghton Mifflin.
Sieber, J. E., & Tolich, M. (2013). Ethical Research in Practice. Sage Publications.
Trochim, W. M. (2006). Quasi-Experimental Design. Retrieved from https://www.socialresearchmethods.net
