assessment: scoring terminology Flashcards
raw score
A score that has not been converted into a derived score.
Derived Scores
A converted raw score that gives meaning to test scores by comparing an individual’s score with those of the norm group
Normal Distribution
A distribution that forms a bell-shaped curve, with nearly all scores falling close to the average and very few scores falling toward either extreme of the distribution.
normal curve (bell curve)
When a normal distribution is graphed, it forms a normal (bell-shaped) curve. The normal curve is symmetrical, with the highest point occurring at the graph’s center. The lowest points lie on either side of the graph. The curve is also asymptotic, meaning that the tail approaches the horizontal axis without ever touching it.
norms
The typical score/performance against which all other test scores are evaluated
Norm-ReferencedAssessment
A test in which an individual’s score is compared to the average score (i.e., the mean) of the test-taking group
criterion-referenced assessment
Provides information about an individual’s score by comparing it to a predetermined standard or set criterion.
ipsative assessment
Compares individuals’ test scores to their previous test scores.
percentage score
The raw score (i.e., the number of correct items) divided by the total number of test items.
Percentile rank
Indicates the percentage of scores falling at or below a given score. Percentile ranks range from less than 1 to greater than 99 and have a median score of 50
standardization
The process of converting raw scores to standard scores by finding the typical score attained by a group of test-takers and comparing future scores to the typical score
Standardized Scores
Compare individual scores to a norm group through the use of formulas that convert the raw score to a new score. The standardized score specifies the number of standard deviations a score is above or below the mean.
z-score
A standardized score for which the distribution has a mean of O and a standard deviation of 1; it represents the number of standard deviation units above or below the mean at which a given score falls.
t-score
A type of standardized score that has an adjusted mean of 50 and a standard deviation of 10.
deviation IQ
A type of standardized score that has a mean of 100 and standard deviation of 15.