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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
Livingston, Samuel A. – 1986
This paper deals with test fairness regarding a test consisting of two parts: (1) a "common" section, taken by all students; and (2) a "variable" section, in which some students may answer a different set of questions from other students. For example, a test taken by several thousand students each year contains a common multiple-choice portion and…
Descriptors: Difficulty Level, Error of Measurement, Essay Tests, Mathematical Models
Melican, Gerald; Plake, Barbara S. – 1984
The validity of combining a correction for guessing with the Nedelsky-based cutscore was investigated. A five option multiple choice Mathematics Achievement Test was used in the study. Items were selected to meet several criteria. These included: the capability of measuring mathematics concepts related to performance in introductory statistics;…
Descriptors: Cutting Scores, Guessing (Tests), Higher Education, Multiple Choice Tests
Lenel, Julia C.; Gilmer, Jerry S. – 1986
In some testing programs an early item analysis is performed before final scoring in order to validate the intended keys. As a result, some items which are flawed and do not discriminate well may be keyed so as to give credit to examinees no matter which answer was chosen. This is referred to as allkeying. This research examined how varying the…
Descriptors: Equated Scores, Item Analysis, Latent Trait Theory, Licensing Examinations (Professions)