Derived score that transforms a raw score in such a way that it has the same mean and the same standard deviation. The standard score scale is an equal-interval scale; that is, a difference of five points has the same meaning throughout the scale.

in reference to testing, a derived score that shows how far a given score is above or below the average score of the norm group

Score standardized by taking the deviation of the score from the mean and dividing it by the standard deviation

A score that has been converted to a standard scale in order to compare it to scores from other tests.

a dimensionless quantity derived from the raw score

a score based upon the standard deviation of the test population

a transformation of the raw score earned, and expresses the distance of an individual raw score above or below the average raw score of the norms group

a way of placing a raw score in context

A standard score describes the location of an individual's score within a set of scores. Its distance from the mean is expressed in terms of standard deviation units. Such a score is used in norm-referenced measurement contexts.

A derived score with a set mean and standard deviation; examples are IQ scores, scaled scores, and T-scores.

A general term referring to several types of "transformed" scores that are computed from "raw" scores. Standard scores express individual students' relative positions within a specific group by indicating how far their scores were above or below the group mean. Standard scores may also be used to express a smaller group's relative position within a larger group. Included among standard scores are scale scores, stanines, and norm equivalent scores.

score) A score that is expressed as a deviation from the mean in standard deviations (SDs), which allows a comparison of scores drawn from different distributions; if M is the mean, then = (score - M)/SD.

A derived score scaled to produce an arbitrarily assigned mean and standard deviation. For example, deviation IQs are standard scores with a mean of 100 and, usually, a standard deviation of 16.

A score derived from the mean performance of a group on a test, as well as the comparative performance of all the individuals who took the test.

In statistics, a standard score (also called z-score or normal score) is a dimensionless quantity derived by subtracting the population mean from an individual (raw) score and then dividing the difference by the population standard deviation.