Scales of Measurement
One of the most influential distinctions made in measurement was Stevens' (1946, 1957) classification of scales of measurement. He made the distinction between nominal, ordinal, interval, and ratio scales of measurement, which are briefly defined below. A more detailed discussion of these scales can be found in Chapter 4 of the text.
- Nominal: Nominal scales are naming scales. They represent categories where there is no basis for ordering the categories.
- Ordinal: Ordinal scales involve categories that can be ordered along a pre-established dimension. However, we have no way of knowing how different the categories are from one another. We state the latter property by saying that we do not have equal intervals between the items. Rankings also represent ordinal scales because we know the order but do not know how different each person is from the next person.
- Interval: Interval scales are very similar to standard numbering scales except that they do not have a true zero. That means that the distance between successive numbers is equal, but that the number zero does NOT mean that there is none of the property being measured. Many measures that involve psychological scales, especially those that use a form of normal standardization (e.g., IQ), are assumed to be interval scales of measurement.
- Ratio: Ratio scales are the easiest to understand because they are numbers as we usually think of them. The distance between adjacent numbers are equal on a ratio scale and the score of zero on the ratio scale means that there is none of whatever is being measured. Most ratio scales are counts of things.
The most important reason for making the distinction between these scales of measurement is that it affects the statistical procedures that you will use in describing and analyzing your data.
In this unit, we will be presenting dozens of examples of measures at each of these levels of measurement, along with some exercises to help you to refine your understanding of these distinctions. We recommend that you complete the exercises since the best way to learn anything is to actively process the information by using it to solve real-life problems.
Examples of Each Scale of Measurement
Listed below are several examples of each scale of measurement. We have focused on general categories to help illustrate what each of the scales represent. We have tried to provide a wide variety of examples to help make these distinctions clear for you.
Nominal Scale Examples
- diagnostic categories
- sex of the participant
- classification based on discrete characteristics (e.g., hair color)
- group affiliation (e.g., Republican, Democrate, Boy Scout, etc.)
- the town people live in
- a person's name
- an arbitrary identification, including identification numbers that are arbitrary
- menu items selected
- any yes/no distinctions
- most forms of classification (species of animals or type of tree)
- location of damage in the brain
Ordinal Scale Examples
- any rank ordering
- class ranks
- social class categories
- order of finish in a race
Interval Scale Examples
- scores on scales that are standardized (i.e., with an arbitrary mean and standard deviation, usually designed to always give a positive score)
- scores on scales that are known to not have a true zero (e.g., most temperature scales except for the Kelvin Scale)
- scores on measures where it is not clear that zero means none of the trait (e.g., a math test)
- scores on most personality scales based on counting the number of endorsed items
Ratio Scale Examples
- time to complete a task
- number of responses given in a specified time period
- weight of an object
- size of an object
- number of objects detected
- number of errors made in a specified time period
- proportion of responses in a specified category
Listed below are a number of exercises designed to familiarize students with the classification of measures using Stevens' classification system. For each of the measures listed, determine what scale of measurement most closely approximates the measure as described. Some of the examples are deliberately ambiguous. To find out the correct answer, click on the word answer at the end of the description of the item.
- the number of questions asked by a customer during a simulated encounter with a salesperson answer
- the religious group that one affiliates with answer
- the time it takes to complete a checking task answer
- the score on a 35-item scale of ambivalence answer
- the rank of a person's salary within the company answer
- rank order based on IQ score in the sample answer
- the square footage of each participant's house or apartment answer
- the size of the cerebellum expressed as a volume answer
- the number of frustrated comments made during a laboratory negotiation task answer
- the time it takes for a couple to resolve a custody issue during court ordered mediation answer
- score on the Beck Depression Inventory (a pencil and paper depression scale) answer
- ratings of anger shown by those involved in courtroom testimony answer
- the number of pound lost during a six-week diet answer
- the proportion of weight lost during a six-week diet answer
- the heart rate of the participant answer
- the percent shift in heart rate over baseline during an emotionally demanding task answer
- the percent of errors made on a classification task answer
- the number of false alarm responses in a monitoring task answer
- the types of gramatical errors made in a writing sample answer
- one's ice cream preference answer
- how quickly a person gives up on an impossible task that looks like it should be possible answer
- a student's SAT score answer
- the percentile rank from an achievement test answer
- the type of categorization errors in a sorting task answer
- the pattern of scores on the MMPI personality inventory answer
- the age at which one went on his or her first date answer
- the number of children in your family answer
- the score on an anxiety sensitivity scale answer
- whether one has a pet answer
- the teacher's rankings of cooperativeness in the classroom answer
Copyright © 2000
Revised: May 29, 1999