Psychologist Stanley Stevens developed the four common scales of measurement: nominal, ordinal, interval and ratio. Each scale of measurement has properties that determine how to properly analyse the data.
What are the 4 measurement scales examples?
In Statistics, the variables or numbers are defined and categorised using different scales of measurements. Each level of measurement scale has specific properties that determine the various use of statistical analysis.
The four types of scales are:
- Nominal Scale.
- Ordinal Scale.
- Interval Scale.
- Ratio Scale.
What is a good example of an ordinal scale?
Ordinal Examples
A student scoring 99/100 would be the 1st rank, another student scoring 92/100 would be 3rd and so on and so forth.
Is age ordinal or nominal?
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 are the four scales of measurement in psychology? – Related Questions
What is nominal scale example?
Examples. Nominal Scale: Gender, marital status, religion, race, hair color, country, etc are examples of Nominal Scale. They are all examples of the noun which do not require rank or order.
What is an example of nominal measurement?
Examples of nominal scales include gender, marital status, college major, and blood type. Binary variables are a type of nominal data. These data can have only two values.
What are 3 examples of measurement?
Measurement – Definition with Examples
- Measurement.
- Time.
- Weight.
- Length.
- Capacity.
- Temperature.
What is interval scale examples?
An interval scale is one where there is order and the difference between two values is meaningful. Examples of interval variables include: temperature (Farenheit), temperature (Celcius), pH, SAT score (200-800), credit score (300-850).
What are examples of nominal ordinal interval and ratio?
4. Nominal Ordinal Interval Ratio
- Age. *
- Weight.
- Height.
- Sales Figures.
- Ruler measurements.
- Income earned in a week.
- Years of education.
- Number of children.
What is ordinal example?
Ordinal data classifies data while introducing an order, or ranking. For instance, measuring economic status using the hierarchy: ‘wealthy’, ‘middle income’ or ‘poor. ‘ However, there is no clearly defined interval between these categories.
What is an example of ratio data?
Income, height, weight, annual sales, market share, product defect rates, time to repurchase, unemployment rate, and crime rate are examples of ratio data.
What are examples of interval and ratio?
Examples of interval level data include temperature and year. Examples of ratio level data include distance and area (e.g., acreage). The scales are similar in so far as units of measurement are arbitrary (Celsius versus Fahrenheit, Gregorian versus Islamic calendar, English versus metric units).
Is IQ an interval or ratio?
An IQ (Intelligence Quotient) score from a standardized test of intelligences is a good example of an interval scale score.
Is age a ratio or interval?
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 temperature a ratio or interval?
For example, temperature in Celsius or Fahrenheit is at an interval scale because zero is not the lowest possible temperature. In the Kelvin scale, a ratio scale, zero represents a total lack of thermal energy.
Is education nominal or ordinal?
Ordinal Data Levels of Measurement
For example, education level (with possible values of high school, undergraduate degree, and graduate degree) would be an ordinal variable.
Is population a ratio or interval?
Length, area, and population are examples of ratio scales.
Is attitude nominal or ordinal?
In the above examples, sex is an example of a nominal scale of measurement, or a classification or categorization; attitude is ordinal, or an ordering or ranking of responses; and age has an interval and ratio scale of measurement, with meaningful measures of distances and ratios between values.
Is social class ordinal or nominal?
This level of measurement characterizes variables that are categorical in nature. For example, social class (in category), gender, and neighborhood all can be considered variables at the nominal level of measurement.
