Social Security numbers are quantitative and not qualitative. This is due to the fact that they are numerical in nature.
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Social security numbers are considered qualitative data because they serve as unique identifiers for individuals rather than representing a specific numerical value or measurement.
Qualitative data is descriptive and non-numeric in nature, often including words, images, or observations. Quantitative data is numerical and can be measured, counted, or statistically analyzed. Qualitative data is used to explore themes and patterns, while quantitative data is used for statistical analysis and to make numerical comparisons.
Qualitative data is data that is not easily quantifiable (meaning it's usually not in hard numbers). This type of data is collected through methods of observations, one-to-one interviews, conducting focus groups, and similar methods.
Cultural anthropology is considered a social science rather than a natural science. It focuses on studying human societies, cultures, and behavior through qualitative research methods, while natural sciences typically focus on the physical and natural world using quantitative methods.
Some criticisms of the scientific approach include its potential for bias due to funding sources, limitations in studying complex social or psychological phenomena, and a tendency to prioritize quantitative data over qualitative insights. Critics also argue that the scientific method may be prone to oversimplification and may not always account for contextual factors.
In Kenya, individuals do not acquire a social security number as they do in some other countries. Instead, individuals may have a National Identification Number (NID) issued by the National Registration Bureau. This NID is used for identification and documentation purposes.