Is age ordinal or nominal?

Is Age Nominal or Ordinal Data? 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.
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What type of variable is age?

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

Examples of categorical variables are race, sex, age group, and educational level. While the latter two variables may also be considered in a numerical manner by using exact values for age and highest grade completed, it is often more informative to categorize such variables into a relatively small number of groups.
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Is age an interval scale?

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.
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Is age an interval data?

We can first distinguish between categoric and interval-level data. Interval-level variables are continuous, meaning that each value of the variable is one increment larger than the previous and one smaller than the next value. Age, if measured in years, is a good example; each increment is one year.
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Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help



What is age data?

Time adjusting or aging is the process of taking different survey data, which can be accurate at different points in time, and adjusting the data to some common point in time. To make your data sources consistent with one another, you need to “age” the data.
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Is age a variable in research?

Anything that can vary can be considered a variable. For instance, age can be considered a variable because age can take different values for different people or for the same person at different times.
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Is age a quantitative variable?

Typically, a variable can describe either a quantitative or qualitative characteristic of an individual. Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status.
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Is age nominal or quantitative?

Age is a quantitative variable because it represents a measurable quantity. What is this? For example, if someone is 35 years old then we know they are 5 years older than a 30 year-old but 5 years younger than a 40-year old.
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Is age a qualitative variable?

A qualitative variable is a variable that expresses a quality. Values do not have numerical meaning and cannot be ordered numerically. Height, mass, age, and shoe size would all be measured in terms of numbers. So, these categories do not contain qualitative data.
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Is age qualitative or quantitative variable?

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.
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Is age independent variable?

It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age.
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How do you define age in research?

'Age' is measured by calculating the time elapsed (usually in complete years) between date of birth and a specific point in time (e.g. date of a particular survey).
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Why is age a good variable?

Age as a Continuous or Categorical Variable

Age can be considered as continuous, meaning that it can take on any value within a scale; technically, a person could be 23 years 15 days and 32 seconds old, although it is likely their age will be recorded in exact years only!
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How do you classify age?

Age Categories, Life Cycle Groupings
  1. Children (00-14 years) 00-04 years. 110. 00-04 years. 05-09 years. 120. 05-09 years. ...
  2. Youth (15-24 years) 15-19 years. 211. 15-17 years. 212. 18-19 years. ...
  3. Adults (25-64 years) 25-29 years. 310. 25-29 years. 30-34 years. 320. ...
  4. Seniors (65 years and over) 65-69 years. 410. 65-69 years. 70-74 years. 420.
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Is age ordinal or scale in SPSS?

A variable can be treated as a 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, income in thousands of Rupees, or the score of a student in the GRE exam.
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How do you report age range?

Age should be reported as part of the description of participants in the paper's Method section. Be specific in providing age ranges, means, and medians. Avoid open-ended definitions such as “under 18 years” or “over 65 years,” unless referring, for instance, to broad research study eligibility criteria.
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What is an example of age?

Age is defined as a span of years during which some event occurred. The number of years that ice covered most of the world is an example of an ice age. The definition of age is the number of years something has been alive or in existence. An example of age is being 16 years old.
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How is social age measured?

ABSTRACT-A simple-variable measure of social age was developed by regressing chronological age on a number of social correlates of age. The correlates tapped life styles relating to family, work and retirement. The estimated age, in units of years, was taken as the social age.
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Is age a control variable?

To account for other factors that are likely to influence the results, you also measure these control variables: Age. Marital status. Health.
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Is age and gender a dependent variable?

dependent variable. Independent variables included in the first step are demographic variables such as age, gender, marital status, and education, and in the next steps are eco- nomic related variables including employment status and self-rated economic condition.
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Is gender a Dependant variable?

An independent variable is used in statistics to predict or explain a dependent variable. For example, Age and Gender might be used as independent variables to predict the age of death or life expectancy (dependent variables).
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Is name a nominal variable?

Some examples of nominal variables include gender, Name, phone, etc.
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Is height an independent variable?

An example of a dependent variable is how tall you are at different ages. The dependent variable (height) depends on the independent variable (age).
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Is anxiety an independent variable?

Anxiety is the dependent variable, exam performance is the independent variable.
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