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Are age groups nominal or ordinal?

Looking for an answer to the question: Are age groups nominal or ordinal? On this page, we have gathered for you the most accurate and comprehensive information that will fully answer the question: Are age groups nominal or ordinal?

"Nominal" data involves naming or identifying data; because the word "nominal" shares a Latin root with the word "name" and has a similar sound, nominal data's function is easy to remember. "Ordinal" data involves placing information into an order, and "ordinal" and "order" sound alike, making the function of ordinal data also easy to remember.


Nominal data is qualitative data that is grouped into one category from several categories created. For example regarding gender (male and female) is an example of nominal data. Ordinal Data is qualitative data that is grouped into a sequence or ranking. For example education level data (elementary, junior high, high school, university).


Age is, technically, continuous and ratio. A person's age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough. It is meaningful to say that someone (or something) is 7.28 year old. One may also ask, is gender nominal ordinal interval or ratio?

Is age nominal ordinal or scale in SPSS?

It is important to change it to either nominal or ordinal or keep it as scale depending on the variable the data represents. In fact, the three procedures that follow all provide some of the same statistics. An Example in SPSS: Satisfaction With Health Services, Health, and Age . Age is classified as nominal data.


Is age a nominal level of measurement?

Age is, technically, continuous and ratio. A person's age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough. It is meaningful to say that someone (or something) is 7.28 year old.


Is age continuous or ordinal?

Age is, technically, continuous and ratio. A person's age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough. It is meaningful to say that someone (or something) is 7.28 year old.


Is age a nominal or interval?

One question students often have is: Is “age” considered an interval or ratio variable? The short answer: Age is considered a ratio variable because it has a “true zero” value.


Are years nominal or ordinal?

Month should be considered qualitative nominal data. With years, saying an event took place before or after a given year has meaning on its own. There is no doubt that a clear order is followed in which given two years you can say with certainty, which year precedes which. As for months, on their own, you cannot.


Is age group categorical or continuous?

Age can be considered as a continuous, ratio variable.


Is age nominal or ordinal or interval or ratio?

Consider the variable age. Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn't have data on your respondent's individual ages – you'd only know how many were between 18-24, 25-34, etc.


Is age group categorical or numerical?

Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level.


Is age group categorical or quantitative?

Categorical variables represent types of data which may be divided into groups. Examples of categorical variables are race, sex, age group, and educational level.


Is age ordinal in SPSS?

Is age nominal or ordinal in SPSS? Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn't have data on your respondent's individual ages – you'd only know how many were between 18-24, 25-34, etc.


Is age categorical or numerical?

In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old. Weight and height are also examples of quantitative variables.


Is age categorical nominal?

Categorical variables take category or label values and place an individual into one of several groups. ... In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values.


Is age group discrete or continuous?

Is Age Discrete or Continuous? Technically speaking, age is a continuous variable because it can take on any value with any number of decimal places. If you know someone's birth date, you can calculate their exact age including years, months, weeks, days, hours, seconds, etc.


Is age a nominal or continuous variable?

A great example of this is a variable like age. Age is, technically, continuous and ratio. A person's age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough.


Is age nominal in SPSS?

1:474:33SPSS: Understand Ordinal, Nominal & Scale (aka Level of measurment)YouTube


Is age a scale variable in SPSS?

Scale . A variable can be treated as scale (continuous) 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 dollars.


Is age group an interval variable?

5. Age is also a variable that can be measured on an interval scale. For example if A is 15 years old and B is 20 years old, it not only clear than B is older than A, but B is elder to A by 5 years.


Is age a discrete?

Is Age Discrete or Continuous? Technically speaking, age is a continuous variable because it can take on any value with any number of decimal places.


Are ages qualitative or quantitative?

One question that students often have is: Is age considered a qualitative or quantitative variable? The short answer: Age is a quantitative variable because it represents a measurable quantity.

Are age groups nominal or ordinal? Video Answer

SPSS (9): Mean Comparison Tests

Are age groups nominal or ordinal? Expert Answers

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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.

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Herein, are age groups nominal or ordinal? Age is frequently collected as ratio data, but can also be collected as ordinal data. Are years nominal or ordinal? Ordinal variables are categorical. Finally, year can be a nominal variable. You might have data on the year of death of a number of people. Nominal variables are categorical.

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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 …

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Age can be both nominal and ordinal data depending on the question types. I.e "How old are you" is used to collect nominal data while "Are you the firstborn 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. What Is The Best Tool For Collecting Nominal and Ordinal Data?

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Age group voting patterns in the last presidential election would be an example of nominal data. Take the age groups and describe if they tended to vote Democrat, Republican, Independent, and so on. Another example is take the same age groups and determine the brand of cars they typically purchase such as GM, Ford, Toyota, Kia and so forth.

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In this scenario, age would be treated as an ordinal variable because a natural order exists among the potential values. We would say 0-19 years old is younger than 20-39 years old, which is younger than 40-50 years old, which is younger than 60+ years old.

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Then, is age nominal or ordinal? 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.

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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….

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There seems to be some confusion over variable being measured (age is ratio, period) and the way in which it is measured (always a discrete variable, so the measurement by ranges of ages is ordinal, but age is ratio).

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Age group voting patterns in the last presidential election would be an example of nominal data. Take the age groups and describe if they tended to vote Democrat, Republican, Independent, and so on. Another example is take the same age groups and determine the brand of cars they typically purchase such as GM, Ford, Toyota, Kia and so forth.

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$\begingroup$ In fact ratio scale is defined, according to Stevens, by the family of transformations that doesn't change the information content/meaning. For interval scales it's linear transformations f(x)=ax+b, for ratio scales only f(x)=ax. It all depends on whether you think that age can be meaningfully transformed by adding/subtracting a constant.

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Consider the variable age. Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn’t have data on your respondent’s individual ages – you’d only know how many were between 18-24, 25-34, etc.

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Is age nominal or ordinal in SPSS? Age is frequently collected as ratio data, but can also be collected as ordinal data. This happens on surveys when they ask, “What age group do you fall in?” There, you wouldn’t have data on your respondent’s individual ages – you’d only know how many were between 18-24, 25-34, etc.

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Stuart Morrison

Hi everyone, my name is Stuart Morrison and I am the editor-in-chief and author of the Answeregy website. I am 35 years old and live in Miami, Florida. From an early age I loved to learn new things, constantly reading various encyclopedias and magazines. In 1998 I created my first Web site, where I posted interesting facts which you could rarely learn elsewhere. Then, it led me to work as a content manager for a large online publication. I always wanted to help people while doing something I really enjoyed. That's how I ended up on the Answeregy.com team, where I... Read more