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Budescu, David V. – 1979
This paper outlines a technique for differentially weighting options of a multiple choice test in a fashion that maximizes the item predictive validity. The rule can be applied with different number of categories and the "optimal" number of categories can be determined by significance tests and/or through the R2 criterion. Our theoretical analysis…
Descriptors: Multiple Choice Tests, Predictive Validity, Scoring Formulas, Test Items
MacCann, Robert G. – Psychometrika, 2004
For (0, 1) scored multiple-choice tests, a formula giving test reliability as a function of the number of item options is derived, assuming the "knowledge or random guessing model," the parallelism of the new and old tests (apart from the guessing probability), and the assumptions of classical test theory. It is shown that the formula is a more…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Reliability, Test Theory
Angoff, William H. – 1985
This paper points out that there are certain generalizations about directions for guessing and methods of scoring that require that data be derived from random groups design. It supports the viewpoint that it is neither sufficient nor appropriate to make such generalizations on the basis of an analysis of scores obtained from the answer sheets of…
Descriptors: Correlation, Guessing (Tests), Research Design, Scoring Formulas

Huynh, Huynh – Journal of Educational Statistics, 1986
Under the assumptions of classical measurement theory and the condition of normality, a formula is derived for the reliability of composite scores. The formula represents an extension of the Spearman-Brown formula to the case of truncated data. (Author/JAZ)
Descriptors: Computer Simulation, Error of Measurement, Expectancy Tables, Scoring Formulas
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
Angoff, William H.; Schrader, William B. – 1982
In a study to determine whether a shift from Formula scoring to Rights scoring can be made without causing a discontinuity in the test scale, the analysis of special administrations of the Scholastic Aptitude Test and Chemistry Achievement Test and the variable section of an operational form of the Graduate Management Admission Test (GMAT) is…
Descriptors: Comparative Analysis, Equated Scores, Guessing (Tests), Higher Education
Wilcox, Rand R. – 1981
These studies in test adequacy focus on two problems: procedures for estimating reliability, and techniques for identifying ineffective distractors. Fourteen papers are presented on recent advances in measuring achievement (a response to Molenaar); "an extension of the Dirichlet-multinomial model that allows true score and guessing to be…
Descriptors: Achievement Tests, Criterion Referenced Tests, Guessing (Tests), Mathematical Models
Choppin, Bruce – Evaluation in Education: An International Review Series, 1985
During 1969 the International Association for the Evaluation of Educational Achievement began a series of cross-cultural studies to investigate the workings of multiple-choice achievement tests and student guessing behaviors. Empirical models to correct for guessing are discussed in terms of test item difficulty, number of response choices,…
Descriptors: Achievement Tests, Cross Cultural Studies, Educational Testing, 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
Levine, Michael V. – 1984
Formula score theory (FST) associates each multiple choice test with a linear operator and expresses all of the real functions of item response theory as linear combinations of the operator's eigenfunctions. Hard measurement problems can then often be reformulated as easier, standard mathematical problems. For example, the problem of estimating…
Descriptors: Cognitive Ability, Estimation (Mathematics), Latent Trait Theory, Maximum Likelihood Statistics