Year of birth is interval level of measurement; age is ratio.
Grade scores are an ordinal level of measurement. A ratio level of measurement would be weight of a person or how much money a person has.
Shoe sizes like 7B, 10D, and 12EEE represent an ordinal level of measurement. This is because they indicate a rank order based on size, with larger numbers generally corresponding to larger shoe sizes. However, the difference between the sizes is not uniform, and the labels (B, D, EEE) indicate width categories, adding another layer of classification. Thus, while they provide a sense of order, they do not convey precise numerical values.
interval
It's Ratio.
False
nominal
Neither, age is at a ratio level of measurement.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
no. its a limitation of an ordinal variable not a nominal.
Questionnaires typically use nominal, ordinal, interval, or ratio levels of measurement. The level of measurement chosen depends on the specific type of data being collected and the research objectives.
I've included a couple of links which should explain better the differences among the four levels of measurement: Nominal, Ordinal, Interval and Ratio. The nominal level can be thought of as the "name" level. I'll give you an example of nominal level of measurement. Perhaps you are collecting data on the types of cars that go through an intersection. You classify the vehicles passing by as trucks, cars and motorcycles and count how many of each pass by. Ordinal is the "order" level, where some natural order of data is possible. The difference between measurements has no physical meaning. An example of ordinal level of measurement. A hospital asks in the emergency room, for patients to describe their pain on a level of 1 to 10, which 10 being the most severe. As given in the first link, it is interesting that there is not complete agreement on this system of classification.
It is ratio; it has a natural zero and is numerical data.
At least ordinal
ABPOOR is likely a categorical variable representing a specific category or level of measurement. It can be considered as a nominal level of measurement if it simply categorizes individuals or items without any inherent order. If it implies a ranking or an ordered category, it could represent an ordinal level of measurement. The exact classification depends on the context in which ABPOOR is used.
nominal
That would be a nominal measurement.
No, level of education is not an interval level of measurement; it is typically considered a nominal or ordinal level of measurement. Education levels, such as high school, bachelor's, or master's degrees, represent categories that can be ranked (ordinal), but the differences between these categories are not uniform or measurable in a meaningful way, which is a requirement for interval data. In summary, while education levels can be ordered, they do not have equal intervals between them, disqualifying them from being classified as interval data.