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What Works Clearinghouse Rating
Peer reviewedReid, Frank – Journal of Educational Research, 1977
The author presents a formula for scoring true-false and multiple-choice questions which produces a score directly related to the number of incorrect alternatives the student is able to eliminate on each question.
Descriptors: Grading, Multiple Choice Tests, Objective Tests, Scoring Formulas
Livingston, Samuel A.; Kastrinos, William – 1982
Leo Nedelsky developed a method for determining absolute grading standards for multiple choice tests. His method required a group of judges to examine each test question and eliminate those responses which the lowest D- student should be able to reject as incorrect. The correct answer probabilities remaining were used in computing an expected test…
Descriptors: Cutting Scores, Judges, Multiple Choice Tests, Real Estate
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
Peer reviewedWaters, Brian K. – Journal of Educational Research, 1976
This pilot study compared two empirically-derived, option-weighting methods and the resultant effect on the reliability and validity of multiple choice test scores as compared with conventional rights-only scoring. (MM)
Descriptors: Guessing (Tests), Measurement, Multiple Choice Tests, Scoring
Peer reviewedAbu-Sayf, F. K. – Educational Review, 1979
The purpose of this article is to discuss some recent developments in the scoring of multiple-choice items from two angles. The first consists of the recent developments in the test instructions of the conventional scoring procedures, and the second consists of a discussion of new scoring methods and formulas. (Author)
Descriptors: Confidence Testing, Guessing (Tests), Measurement Objectives, Multiple Choice Tests
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
Peer reviewedLord, Frederic M. – Journal of Educational Measurement, 1975
The assumption that examinees either know the answer to a test item or else guess at random is usually totally implausible. A different assumption is outlined, under which formula scoring is found to be clearly superior to number right scoring. (Author)
Descriptors: Guessing (Tests), Multiple Choice Tests, Response Style (Tests), Scoring
Wilcox, Rand R. – 1979
In the past, several latent structure models have been proposed for handling problems associated with measuring the achievement of examinees. Typically, however, these models describe a specific examinee in terms of an item domain or they describe a few items in terms of a population of examinees. In this paper, a model is proposed which allows a…
Descriptors: Achievement Tests, Guessing (Tests), Mathematical Models, Multiple Choice Tests
Brown, T. A. – 1974
Admissible probability testing is a way of administering multiple choice tests in which a student states his subjective probability that each alternative answer is correct. His response is then scored by an admissible scoring system designed so that the student will perceive that is is in his interest to report his true subjective probability.…
Descriptors: Computer Assisted Instruction, Confidence Testing, Motivation, Multiple Choice Tests
Peer reviewedSerlin, Ronald C.; Kaiser, Henry F. – Educational and Psychological Measurement, 1978
When multiple-choice tests are scored in the usual manner, giving each correct answer one point, information concerning response patterns is lost. A method for utilizing this information is suggested. An example is presented and compared with two conventional methods of scoring. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Item Analysis, Multiple Choice Tests
Peer reviewedReilly, Richard R.; Dynarski, Barbara J. – Educational and Psychological Measurement, 1972
Descriptors: Answer Keys, Branching, Computer Programs, Multiple Choice Tests
Peer reviewedCureton, Edward E. – Educational and Psychological Measurement, 1971
A rebuttal of Frary's 1969 article in Educational and Psychological Measurement. (MS)
Descriptors: Error of Measurement, Guessing (Tests), Multiple Choice Tests, Scoring Formulas
Validity and Likability Ratings for Three Scoring Instructions for a Multiple-Choice Vocabulary Test
Peer reviewedWaters, Carrie Wherry; Waters, Lawrence K. – Educational and Psychological Measurement, 1971
Descriptors: Guessing (Tests), Multiple Choice Tests, Response Style (Tests), Scoring Formulas
Peer reviewedWillson, Victor L. – Educational and Psychological Measurement, 1982
The Serlin-Kaiser procedure is used to complete a principal components solution for scoring weights for all options of a given item. Coefficient alpha is maximized for a given multiple choice test. (Author/GK)
Descriptors: Analysis of Covariance, Factor Analysis, Multiple Choice Tests, Scoring Formulas
Peer reviewedCross, Lawrence H.; And Others – Journal of Experimental Education, 1980
Use of choice-weighted scores as a basis for assigning grades in college courses was investigated. Reliability and validity indices offer little to recommend either type of choice-weighted scoring over number-right scoring. The potential for choice-weighted scoring to enhance the teaching/testing process is discussed. (Author/GK)
Descriptors: Credit Courses, Grading, Higher Education, Multiple Choice Tests

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