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Hutchinson, T. P. – 1985
For over 50 years, the overwhelming weight of evidence has been that subjects are able to make use of partial information when responding to multiple-choice items. The subject chooses the alternative which has given rise to the lowest mismatch, except that if this minimum mismatch is larger than some threshold, the question is left unanswered.…
Descriptors: Guessing (Tests), Multiple Choice Tests, Predictive Measurement, Science Tests
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
Torrence, David R. – 1986
This was a replicative study that was initiated with a journeyman level certification instrument for an international union, when industry monitors were observed suggesting to examinees to "go with your first response." The question arose whether this was a researched-based practice. If not, wouldn't this practice inject constant error…
Descriptors: Adults, Correlation, Error of Measurement, Guessing (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
Miao, Chang Yu – 1987
Nedelsky (1954) has suggested a procedure for determining the minimum passing score on a multiple-choice test. In this procedure expert judges estimate the probable score of a minimally competent examinee. The technique does not refer to the students' performance data. The purposes of this paper are: (1) to introduce a modification to the Nedelsky…
Descriptors: Academic Standards, Analysis of Variance, Bayesian Statistics, Cutting Scores
Levine, Michael V.; Drasgow, Fritz – 1984
Some examinees' test-taking behavior may be so idiosyncratic that their scores are not comparable to the scores of more typical examinees. Appropriateness indices, which provide quantitative measures of response-pattern atypicality, can be viewed as statistics for testing a null hypothesis of normal test-taking behavior against an alternative…
Descriptors: Cheating, College Entrance Examinations, Computer Simulation, Estimation (Mathematics)
Garrido, Mariquita; Payne, David A. – 1987
Minimum competency cut-off scores on a statistics exam were estimated under four conditions: the Angoff judging method with item data (n=20), and without data available (n=19); and the Modified Angoff method with (n=19), and without (n=19) item data available to judges. The Angoff method required free response percentage estimates (0-100) percent,…
Descriptors: Academic Standards, Comparative Analysis, Criterion Referenced Tests, Cutting Scores