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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
Gierl, Mark J.; Bulut, Okan; Guo, Qi; Zhang, Xinxin – Review of Educational Research, 2017
Multiple-choice testing is considered one of the most effective and enduring forms of educational assessment that remains in practice today. This study presents a comprehensive review of the literature on multiple-choice testing in education focused, specifically, on the development, analysis, and use of the incorrect options, which are also…
Descriptors: Multiple Choice Tests, Difficulty Level, Accuracy, Error Patterns
Peer reviewedGarcia-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
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
Smith, Richard M. – 1982
There have been many attempts to formulate a procedure for extracting information from incorrect responses to multiple choice items, i.e., the assessment of partial knowledge. The results of these attempts can be described as inconsistent at best. It is hypothesized that these inconsistencies arise from three methodological problems: the…
Descriptors: Difficulty Level, Evaluation Methods, Goodness of Fit, Guessing (Tests)
Kobrin, Jennifer L.; Kimmel, Ernest W. – College Board, 2006
Based on statistics from the first few administrations of the SAT writing section, the test is performing as expected. The reliability of the writing section is very similar to that of other writing assessments. Based on preliminary validity research, the writing section is expected to add modestly to the prediction of college performance when…
Descriptors: Test Construction, Writing Tests, Cognitive Tests, College Entrance Examinations
Echternacht, Gary J.; And Others – 1971
The feasibility and the cost-effectiveness of using confidence testing as a diagnostic aid in technical training programs were studied. Two types of confidence testing, Pick-One and Distribute 100 Points, were developed for comparison to conventional multiple-choice testing. The criteria for feasibility included end of block examination grades,…
Descriptors: Confidence Testing, Cost Effectiveness, Educational Diagnosis, Evaluation
Warm, Thomas A. – 1978
This primer is an introduction to item response theory (also called item characteristic curve theory, or latent trait theory) as it is used most commonly--for scoring multiple choice achievement or aptitude tests. Written for the testing practitioner with minimum training in statistics and psychometrics, it presents and illustrates the basic…
Descriptors: Ability Identification, Achievement Tests, Adaptive Testing, Aptitude Tests

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