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The two columns to the right of the left-most column in this computerized table are raw data. Raw data, also known as primary data, are data (e.g., numbers, instrument readings, figures, etc.) collected from a source. In the context of examinations, the raw data might be described as a raw score (after test scores).
A scaled score is the result of some transformation(s) applied to the raw score, such as in relative grading. The purpose of scaled scores is to report scores for all examinees on a consistent scale. Suppose that a test has two forms, and one is more difficult than the other. It has been determined by equating that a score of 65% on form 1 is ...
Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores. In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.
In statistics, the score (or informant [1]) is the gradient of the log-likelihood function with respect to the parameter vector.
Score (statistics), a quantity in statistics; Score (number), a quantity of twenty units; Raw score, an original datum that has not been transformed; Score test, a statistical test; Scorer's function, solutions to differential equations; Scoring rule, measuring the accuracy of probabilistic predictions; Standard score, a quantity derived from ...
Test equating traditionally refers to the statistical process of determining comparable scores on different forms of an exam. [1] It can be accomplished using either classical test theory or item response theory. In item response theory, equating [2] is the process of placing scores from two or more parallel test forms onto a common score scale ...
A test statistic shares some of the same qualities of a descriptive statistic, and many statistics can be used as both test statistics and descriptive statistics. However, a test statistic is specifically intended for use in statistical testing, whereas the main quality of a descriptive statistic is that it is easily interpretable.
In educational statistics, a normal curve equivalent (NCE), developed for the United States Department of Education by the RMC Research Corporation, [1] is a way of normalizing scores received on a test into a 0-100 scale similar to a percentile rank, but preserving the valuable equal-interval properties of a z-score.