Final answer:
Subjective data in health and qualitative sociology refers to information reported by the patient or research participant, such as symptoms and personal experiences, which are essential for diagnosis and sociological understanding but cannot be objectively measured.
Step-by-step explanation:
The 12 components that make up subjective data are not explicitly listed in a standardized form, as subjective data can vary greatly depending on the context. In the realm of health and medicine, subjective data typically refers to symptoms and other information reported by the patient that cannot be objectively measured.
These may include the patient's descriptions of pain, nausea, fatigue, or dizziness. Subjective data is vital for diagnosis and treatment plans and is often gathered through patient interviews, questionnaires, or surveys.
Subjective data plays a significant role in qualitative research, particularly in fields like qualitative sociology. When collecting qualitative data through methods like open-ended questions, researchers can obtain in-depth insights into participants' perspectives, feelings, beliefs, and experiences.
However, there are challenges with subjective data, such as potential memory bias or difficulty in accurate measurement.
Techniques like the Wong-Baker Faces pain-rating scale attempt to quantify subjective experiences by assigning a numerical value to symptoms like pain.
While other approaches involve physiological measures like skin conductance fluctuations to infer the intensity of pain, emphasizing that subjective data can sometimes be supported by indirect objective measurements.
In summary, subjective data is crucial in healthcare and sociological research, allowing for a deeper understanding of patient experiences and human behavior.
This type of data is characterized by personal accounts and perceived experiences that are unique to each individual, making it inherently subjective.