Abstract
A Monte Carlo study was conducted using item-examinee sampling procedures to examine the standard error of estimate for a given test's mean and variance. The main variables considered were test length, item difficulty, and item discrimination. The results indicate that optimal estimates, i.e., smallest standard error, of both mean and variance from a single item-examinee sampling plan may not be possible.
Subject
Applied Mathematics,Applied Psychology,Developmental and Educational Psychology,Education
Cited by
4 articles.
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