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Lahner, Felicitas-Maria; Lörwald, Andrea Carolin; Bauer, Daniel; Nouns, Zineb Miriam; Krebs, René; Guttormsen, Sissel; Fischer, Martin R.; Huwendiek, Sören – Advances in Health Sciences Education, 2018
Multiple true-false (MTF) items are a widely used supplement to the commonly used single-best answer (Type A) multiple choice format. However, an optimal scoring algorithm for MTF items has not yet been established, as existing studies yielded conflicting results. Therefore, this study analyzes two questions: What is the optimal scoring algorithm…
Descriptors: Scoring Formulas, Scoring Rubrics, Objective Tests, Multiple Choice Tests
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Severo, Milton; Gaio, A. Rita; Povo, Ana; Silva-Pereira, Fernanda; Ferreira, Maria Amélia – Anatomical Sciences Education, 2015
In theory the formula scoring methods increase the reliability of multiple-choice tests in comparison with number-right scoring. This study aimed to evaluate the impact of the formula scoring method in clinical anatomy multiple-choice examinations, and to compare it with that from the number-right scoring method, hoping to achieve an…
Descriptors: Anatomy, Multiple Choice Tests, Scoring, Decision Making
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Jancarík, Antonín; Kostelecká, Yvona – Electronic Journal of e-Learning, 2015
Electronic testing has become a regular part of online courses. Most learning management systems offer a wide range of tools that can be used in electronic tests. With respect to time demands, the most efficient tools are those that allow automatic assessment. The presented paper focuses on one of these tools: matching questions in which one…
Descriptors: Online Courses, Computer Assisted Testing, Test Items, Scoring Formulas
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Garcia-Perez, Miguel A.; Frary, Robert B. – Applied Psychological Measurement, 1989
Simulation techniques were used to generate conventional test responses and track the proportion of alternatives examinees could classify independently before and after taking the test. Finite-state scores were compared with these actual values and with number-correct and formula scores. Finite-state scores proved useful. (TJH)
Descriptors: Comparative Analysis, Computer Simulation, Guessing (Tests), Mathematical Models
Tollefson, Nona; Chung, Jing-Mei – 1986
Procedures for correcting for guessing and for assessing partial knowledge (correction-for-guessing, three-decision scoring, elimination/inclusion scoring, and confidence or probabilistic scoring) are discussed. Mean scores and internal consistency reliability estimates were compared across three administration and scoring procedures for…
Descriptors: Achievement Tests, Comparative Analysis, Evaluation Methods, Graduate Students
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Hsu, Tse-Chi; And Others – Journal of Experimental Education, 1984
The indices of item difficulty and discrimination, the coefficients of effective length, and the average item information for both single- and multiple-answer items using six different scoring formulas were computed and compared. These formulas vary in terms of the assignment of partial credit and the correction for guessing. (Author/BW)
Descriptors: College Entrance Examinations, Comparative Analysis, Difficulty Level, Guessing (Tests)
Cross, Lawrence H. – 1975
A novel scoring procedure was investigated in order to obtain scores from a conventional multiple-choice test that would be free of the guessing component or contain a known guessing component even though examinees were permitted to guess at will. Scores computed with the experimental procedure are based not only on the number of items answered…
Descriptors: Algebra, Comparative Analysis, Guessing (Tests), High Schools
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Kansup, Wanlop; Hakstian, A. Ralph – Journal of Educational Measurement, 1975
Effects of logically weighting incorrect item options in conventional tests and different scoring functions with confidence tests on reliability and validity were examined. Ninth graders took conventionally administered Verbal and Mathematical Reasoning tests, scored conventionally and by a procedure assigning degree-of-correctness weights to…
Descriptors: Comparative Analysis, Confidence Testing, Junior High School Students, Multiple Choice Tests
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Hakstian, A. Ralph; Kansup, Wanlop – Journal of Educational Measurement, 1975
A comparison of reliability and validity was made for three testing procedures: 1) responding conventionally to Verbal Ability and Mathematical Reasoning tests; 2) using a confidence weighting response procedure with the same tests; and 3) using the elimination response method. The experimental testing procedures were not psychometrically superior…
Descriptors: Comparative Analysis, Confidence Testing, Guessing (Tests), Junior High School Students
Donlon, Thomas F. – 1975
This study empirically determined the optimizing weight to be applied to the Wrongs Total Score in scoring rubrics of the general form = R - kW, where S is the Score, R the Rights Total, k the weight and W the Wrongs Total, if reliability is to be maximized. As is well known, the traditional formula score rests on a theoretical framework which is…
Descriptors: Achievement Tests, Comparative Analysis, Guessing (Tests), Multiple Choice Tests
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Vale, C. David; Weiss, David J. – 1977
Twenty multiple-choice vocabulary items and 20 free-response vocabulary items were administered to 660 college students. The free-response items consisted of the stem words of the multiple-choice items. Testees were asked to respond to the free-response items with synonyms. A computer algorithm was developed to transform the numerous…
Descriptors: Ability, Adaptive Testing, Algorithms, Aptitude Tests