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Hutchinson, T. P. – 1984
One means of learning about the processes operating in a multiple choice test is to include some test items, called nonsense items, which have no correct answer. This paper compares two versions of a mathematical model of test performance to interpret test data that includes both genuine and nonsense items. One formula is based on the usual…
Descriptors: Foreign Countries, Guessing (Tests), Mathematical Models, Multiple Choice Tests
van der Linden, Wim J. – Evaluation in Education: International Progress, 1982
In mastery testing a linear relationship between an optimal passing score and test length is presented with a new optimization criterion. The usual indifference zone approach, a binomial error model, decision errors, and corrections for guessing are discussed. Related results in sequential testing and the latent class approach are included. (CM)
Descriptors: Cutting Scores, Educational Testing, Mastery Tests, Mathematical Models
Lord, Frederic M. – 1972
An elementary survey of item characteristic curve theory, centered around the problems of individualized (tailored) testing, is presented. Following the introduction, discussions are provided of the following: Test Theory for Itemized Tests; The Guttman Scale; Item Characteristic Curve Theory; An Alternative Model; Specialization, Application, and…
Descriptors: Achievement Tests, Bulletins, Citations (References), Evaluation Methods
Sympson, James B. – 1979
Development of The Assessment of Basic Competencies (ABC), a test battery based on the three-parameter logistic model, is described. Eleven dimensions of intellectual growth are measured, from the pre-kindergarten level through ninth grade. An educationally relevant skill domain is represented by each test. Unique properties of the test, based on…
Descriptors: Academic Ability, Cognitive Processes, Cognitive Tests, Elementary Education