No. The interval level is more refined and so enables calculations which are not available at the nominal level.
Neither, age is at a ratio level of measurement.
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.
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,
nominal
Year of birth is interval level of measurement; age is ratio.
It is ratio; it has a natural zero and is numerical data.
nominal
No. The interval level is more refined and so enables calculations which are not available at the nominal level.
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.
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.
Neither, age is at a ratio level of measurement.
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.
Nominal, ordinal, interval and ratio (NOIR) are four levels of measurement typically recognized in the statistical literature. At the nominal level, objects are categorized with names, identifiers or labels such as colors like red, yellow and blue. TAnother example is the answers on a survey sheet, Yes, No, and Undecided. At the ordinal level, the data can be ordered. Course grades A,B, C, D and E is an example. At the interval level, the data can be ordered and the difference between data values has meaning. Temperature in degrees F is an example. At the ratio level, there is a natural zero starting point and differences and ratios have meaning.
no. its a limitation of an ordinal variable not a nominal.
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,
· Dependent variable ( student's academic achievement ) : It depend on the way that we use it to write the score (if we write it as a letter it will be an ordinal ,but if we write it as number it will be an interval). · Independent variable ( intelligent ) : Interval, · Independent variable ( attention ) : Interval,