Which score corrects for small measurement errors in a test?
A)deviation IQ
B)normal curve equivalent
C)stanine
D)z-score

Question

Quizplus · Accepted Answer

Normal curve equivalent (NCE) corrects for small measurement errors in a test by converting raw scores into a 1-99 scale with equal intervals. This method is commonly used in educational testing to report standardized test scores that are easy to interpret and compare across different test forms and administrations. Deviation IQ, stanine, and z-score are also methods for standardizing test scores, but they may not be as appropriate for correcting small measurement errors. Deviation IQ is based on a normal distribution with a mean of 100 and a standard deviation of 15, and it is used primarily in intelligence testing. Stanine is a nine-point scale that divides the normal distribution into nine equal parts, with a mean of 5 and a standard deviation of 2, and it is used primarily in educational and psychological testing. Z-score is a standard score that indicates the number of standard deviations a raw score is above or below the mean, and it is used primarily in statistical analysis and research.

Which Score Corrects for Small Measurement Errors in a Test