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Direct linkBurton, Richard F. – Assessment & Evaluation in Higher Education, 2006
Many academic tests (e.g. short-answer and multiple-choice) sample required knowledge with questions scoring 0 or 1 (dichotomous scoring). Few textbooks give useful guidance on the length of test needed to do this reliably. Posey's binomial error model of 1932 provides the best starting point, but allows neither for heterogeneity of question…
Descriptors: Item Sampling, Tests, Test Length, Test Reliability
Peer reviewedCliff, Norman; And Others – Applied Psychological Measurement, 1979
Monte Carlo research with TAILOR, a program using implied orders as a basis for tailored testing, is reported. TAILOR typically required about half the available items to estimate, for each simulated examinee, the responses on the remainder. (Author/CTM)
Descriptors: Adaptive Testing, Computer Programs, Item Sampling, Nonparametric Statistics
Wilcox, Rand R. – 1979
Mastery tests are analyzed in terms of the number of skills to be mastered and the number of items per skill, in order that correct decisions of mastery or nonmastery will be made to a desired degree of probability. It is assumed that a random sample of skills will be selected for measurement, that each skill will be measured by the same number of…
Descriptors: Achievement Tests, Cutting Scores, Decision Making, Equivalency Tests
Kohr, Richard L., Comp.; And Others – 1979
This guide begins with a series of questions and answers which introduce Pennsylvania's Educational Quality Assessment (EQA) Inventory as a 188-to 190-item multiple choice test for fifth, eighth, and eleventh grades. Items are selected from a 400-item bank using matrix sampling procedures. Test results are analyzed at the school level; no…
Descriptors: Achievement Tests, Affective Measures, Affective Objectives, Basic Skills
