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Yousuf, Mustafa S.; Miles, Katherine; Harvey, Heather; Al-Tamimi, Mohammad; Badran, Darwish – Journal of University Teaching and Learning Practice, 2022
Exams should be valid, reliable, and discriminative. Multiple informative methods are used for exam analysis. Displaying analysis results numerically, however, may not be easily comprehended. Using graphical analysis tools could be better for the perception of analysis results. Two such methods were employed: standardized x-bar control charts with…
Descriptors: Multiple Choice Tests, Testing, Test Reliability, Test Validity
Slepkov, A. D.; Van Bussel, M. L.; Fitze, K. M.; Burr, W. S. – SAGE Open, 2021
There is a broad literature in multiple-choice test development, both in terms of item-writing guidelines, and psychometric functionality as a measurement tool. However, most of the published literature concerns multiple-choice testing in the context of expert-designed high-stakes standardized assessments, with little attention being paid to the…
Descriptors: Foreign Countries, Undergraduate Students, Student Evaluation, Multiple Choice Tests
Slepkov, Aaron D.; Shiell, Ralph C. – Physical Review Special Topics - Physics Education Research, 2014
Constructed-response (CR) questions are a mainstay of introductory physics textbooks and exams. However, because of the time, cost, and scoring reliability constraints associated with this format, CR questions are being increasingly replaced by multiple-choice (MC) questions in formal exams. The integrated testlet (IT) is a recently developed…
Descriptors: Science Tests, Physics, Responses, Multiple Choice Tests
Peer reviewedPreece, P. F. W. – School Science Review, 1974
Describes the test item analysis used in test construction. (JR)
Descriptors: Discriminant Analysis, Evaluation Methods, Item Analysis, Multiple Choice Tests
Melancon, Janet G.; Thompson, Bruce – 1988
Applied classical measurement theory was used to study the measurement characteristics of Forms A and B of the Finding Embedded Figures Test (FEFT) when the test is administered in a "no-guessing" or "supply" format. Data provided by 69 students at a private university in the southern United States were used. Both forms of the…
Descriptors: Comparative Analysis, Difficulty Level, Discriminant Analysis, Guessing (Tests)
Tinari, Frank D. – Improving College and University Teaching, 1979
Computerized analysis of multiple choice test items is explained. Examples of item analysis applications in the introductory economics course are discussed with respect to three objectives: to evaluate learning; to improve test items; and to help improve classroom instruction. Problems, costs and benefits of the procedures are identified. (JMD)
Descriptors: College Instruction, Computer Programs, Discriminant Analysis, Economics Education

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