Quick Answer: Is Age A Scale Or Ordinal Variable?

Is gender nominal or ordinal in SPSS?

Measure in SPSS It is not possible to rank the categories created.


Gender varies in that an individual is either categorised as “male” or “female”.

An Ordinal variable is one where it is possible to rank the categories or put them in an order.

The intervals between the categories used are not defined..

Is GPA nominal or ordinal?

While the letter grade to numerical contribution for a single subject is ordinal, the moment you compute a grade point average you already treated it as interval at that moment (otherwise you have no basis on which to assert that A+C = B+B).

Is SSS number nominal or ordinal?

The four scales of measurement are nominal, ordinal, interval, and ratio. Nominal: Categorical data and numbers that are simply used as identifiers or names represent a nominal scale of measurement. Numbers on the back of a baseball jersey and your social security number are examples of nominal data.

Is shoe size nominal or ordinal?

Shoes are assigned a number to represent the size, larger numbers mean bigger shoes so unlike the nominal scale that just reflects a category or class, the numbers of an ordinal scale show an ordered relationship between numbered items – we know that a shoe size of 8 is bigger than a shoe size of 4.

What is ordinal scale with example?

An ordinal scale is a scale (of measurement) that uses labels to classify cases (measurements) into ordered classes. … Some examples of variables that use ordinal scales would be movie ratings, political affiliation, military rank, etc. Example. One example of an ordinal scale could be “movie ratings”.

What kind of data is age?

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.

Is gender ordinal or nominal?

A nominal variable has no intrinsic ordering to its categories. For example, gender is a categorical variable having two categories (male and female) with no intrinsic ordering to the categories. An ordinal variable has a clear ordering.

What are the 4 types of data?

In statistics, there are four data measurement scales: nominal, ordinal, interval and ratio. These are simply ways to sub-categorize different types of data (here’s an overview of statistical data types) .

What are the two types of data?

The Two Main Flavors of Data: Qualitative and Quantitative At the highest level, two kinds of data exist: quantitative and qualitative.

Is age a nominal ordinal or scale variable?

There is no order associated with values on nominal variables. [Ratio] Age is at the ratio level of measurement because it has an absolute zero value and the difference between values is meaningful. For example, a person who is 20 years old has lived (since birth) half as long as a person who is 40 years old.

Is age a scale variable in SPSS?

A variable can be treated as scale when its values represent ordered categories with a meaningful metric, so that distance comparisons between values are appropriate. Examples of scale variables include age in years, and income in thousands of Rupees, or score of a student in GRE exam.

Is money nominal or ordinal?

In essence, a ratio scale can be thought of as nominal, ordinal, and interval scales combined as one. For example, the measurement of money is an example of a ratio scale.

What is scale variable?

Essentially, a scale variable is a measurement variable — a variable that has a numeric value. … This could be an issue if you’ve assigned numbers to represent categories, so you should define each variable within the measurement area individually.

What is ratio variable?

Ratio variables are interval variables, but with the added condition that 0 (zero) of the measurement indicates that there is none of that variable. So, temperature measured in degrees Celsius or Fahrenheit is not a ratio variable because 0°C does not mean there is no temperature.

What type of variable is age in statistics?

Mondal[1] suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds.

What is an example of an ordinal variable?

Examples of ordinal variables include: socio economic status (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

What is ordinal data example?

Ordinal data is a kind of categorical data with a set order or scale to it. For example, ordinal data is said to have been collected when a responder inputs his/her financial happiness level on a scale of 1-10. In ordinal data, there is no standard scale on which the difference in each score is measured.

How do you know if a variable is ordinal?

An ordinal variable is similar to a categorical variable. The difference between the two is that there is a clear ordering of the variables. For example, suppose you have a variable, economic status, with three categories (low, medium and high).