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DeCarlo, Lawrence T. – Journal of Educational Measurement, 2023
A conceptualization of multiple-choice exams in terms of signal detection theory (SDT) leads to simple measures of item difficulty and item discrimination that are closely related to, but also distinct from, those used in classical item analysis (CIA). The theory defines a "true split," depending on whether or not examinees know an item,…
Descriptors: Multiple Choice Tests, Test Items, Item Analysis, Test Wiseness
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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
Pawade, Yogesh R.; Diwase, Dipti S. – Journal of Educational Technology, 2016
Item analysis of Multiple Choice Questions (MCQs) is the process of collecting, summarizing and utilizing information from students' responses to evaluate the quality of test items. Difficulty Index (p-value), Discrimination Index (DI) and Distractor Efficiency (DE) are the parameters which help to evaluate the quality of MCQs used in an…
Descriptors: Test Items, Item Analysis, Multiple Choice Tests, Curriculum Development
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McMillan, James R.; And Others – Delta Pi Epsilon Journal, 1989
An investigation analyzed difficulty and discrimination statistics for 91 multiple-choice tests written by 46 business administration instructors and administered to 7,511 students. A large percentage of the tests failed the difficulty and discrimination standards proposed by several testing experts, implying that teachers need more preparation in…
Descriptors: Business Administration Education, Difficulty Level, Discriminant Analysis, Higher Education
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Frary, Robert B. – Applied Measurement in Education, 1991
The use of the "none-of-the-above" option (NOTA) in 20 college-level multiple-choice tests was evaluated for classes with 100 or more students. Eight academic disciplines were represented, and 295 NOTA and 724 regular test items were used. It appears that the NOTA can be compatible with good classroom measurement. (TJH)
Descriptors: College Students, Comparative Testing, Difficulty Level, Discriminant Analysis
Tollefson, Nona; Tripp, Alice – 1986
The item difficulty and item discrimination of three multiple-choice item formats were compared in experimental and non-experimental settings. In the experimental study, 104 graduate students were randomly assigned to complete one of three forms of a multiple-choice test: (1) a complex alternative ("none of the above") as the correct answer; (2) a…
Descriptors: Achievement Tests, Difficulty Level, Discriminant Analysis, Graduate Students
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)
Lancaster, Diana M.; And Others – 1987
Difficulty and discrimination ability were compared between multiple choice and short answer items in midterm and final examinations for the internal medicine course at Louisiana State University School of Dentistry. The examinations were administered to 67 sophomore dental students in that course. Additionally, the impact of the source of the…
Descriptors: Dental Schools, Dentistry, Difficulty Level, Discriminant Analysis