is age an ordinal level of measurement?
530107
Age is frequently collected as ratio data, but can also be collected as ordinal data. ... Variables that are naturally ordinal can't be captured as interval or ratio data, but can be captured as nominal.
52299
The United Nations has agreed that 65+ years may be usually denoted as old age and this is the first attempt at an international definition of old age. However, for its study of old age in Africa, the World Health Organization (WHO) set 55 as the beginning of old age.
25789
Age Is Really Just A Number. ... In actual fact your age is really just a number – and there is some research to support it. In an article published by The Association for Psychological Science they stated that how young or old someone feels has a large influence on both their overall health and how others see them.
837099
Nominal, ordinal, or numerical variables? ... Nominal data is classified without a natural order or rank, whereas ordinal data has a predetermined or natural order. On the other hand, numerical or quantitative data will always be a number that can be measured.
122217
There may be special circumstances when someone might say What's your age?, but the normal question is How old are you?. The answer is "(X)", not "(X) years", or even "(X) years old" - unless you are five!
779519
Age can be both nominal and ordinal data depending on the question types. I.e "How old are you" is a used to collect nominal data while "Are you the first born or What position are you in your family" is used to collect ordinal data. Age becomes ordinal data when there's some sort of order to it.
199019
Time is a continuous variable. You could turn age into a discrete variable and then you could count it. For example: A person's age in years.
193302
Data at the nominal level of measurement are qualitative. No mathematical computations can be carried out. Data at the ordinal level of measurement are quantitative or qualitative. They can be arranged in order (ranked), but differences between entries are not meaningful.
358554
Time is (usually) a continuous interval variable, so quantitative. Year can be a discretization of time. ... So year is a discretized measure of a continuous interval variable, so quantitative. Year can also be an ordinal variable.
173086
Yes, two decades is equivalent to twenty years. However, you can also express 20 years using the word 'score' (although not common).
1139917
Age is not necessarily just a number. But it will always be represented as a number because it is the length of time that a person has lived or a thing has existed in the physical world. ... Likewise a 50 year old person can have the maturity level of a 10 year old. But they are still 50.
1332407
In some cases, the measurement scale for data is ordinal, but the variable is treated as continuous. ... At the same time, some researchers would argue that a Likert scale, even with seven values, should never be treated as a continuous variable.
205319
Believe it or not, sometimes 2 + 2 does not equal 4. It depends on what type of measurement scale you are using. There are four types of measurement scales   nominal, ordinal, interval, and ratio. Only in the last two categories does 2 + 2 = 4.
1103138
What often determines the data type is how the data are collected. Consider the variable age. Age is frequently collected as ratio data, but can also be collected as ordinal data. ... Variables that are naturally ordinal can't be captured as interval or ratio data, but can be captured as nominal.
1227362
Cases in the same class are considered to be equivalent. Some examples of variables that use ordinal scales would be movie ratings, political affiliation, military rank, etc. One example of an ordinal scale could be "movie ratings".
673337
Participants were categorized by age into young adults (ages 18-35 years; n = 97), middle-aged adults (ages 36-55 years, n = 197), and older adults (aged older than 55 years, n = 49). Differences in demographics, gambling variables, and ASI composite scores were compared across the groups.
135283
Nominal variables allow a researcher to distinguish between 2 or more classes of an attribute by name. There is no order associated with values on nominal variables. 5. Age. [Ratio] Age is at the ratio level of measurement because it has an absolute zero value and the difference between values is meaningful.