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Selvi, Hüseyin; Özdemir Alici, Devrim – International Journal of Assessment Tools in Education, 2018
In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046…
Descriptors: Test Bias, Test Theory, Item Response Theory, Multiple Choice Tests
Keller, Christopher M.; Kros, John F. – Marketing Education Review, 2011
Measures of survey reliability are commonly addressed in marketing courses. One statistic of reliability is "Cronbach's alpha." This paper presents an application of survey reliability as a reflexive application of multiple-choice exam validation. The application provides an interactive decision support system that incorporates survey item…
Descriptors: Test Validity, Marketing, Test Reliability, Multiple Choice Tests
Herman, Geoffrey Lindsay – ProQuest LLC, 2011
Instructors in electrical and computer engineering and in computer science have developed innovative methods to teach digital logic circuits. These methods attempt to increase student learning, satisfaction, and retention. Although there are readily accessible and accepted means for measuring satisfaction and retention, there are no widely…
Descriptors: Grounded Theory, Delphi Technique, Concept Formation, Misconceptions
van der Linden, Wim J.; Sotaridona, Leonardo – Journal of Educational and Behavioral Statistics, 2006
A statistical test for detecting answer copying on multiple-choice items is presented. The test is based on the exact null distribution of the number of random matches between two test takers under the assumption that the response process follows a known response model. The null distribution can easily be generalized to the family of distributions…
Descriptors: Test Items, Multiple Choice Tests, Cheating, Responses
Bush, Martin E. – Quality Assurance in Education: An International Perspective, 2006
Purpose: To provide educationalists with an understanding of the key quality issues relating to multiple-choice tests, and a set of guidelines for the quality assurance of such tests. Design/methodology/approach: The discussion of quality issues is structured to reflect the order in which those issues naturally arise. It covers the design of…
Descriptors: Multiple Choice Tests, Test Reliability, Educational Quality, Quality Control
Hutchinson, T. P. – 1985
For over 50 years, the overwhelming weight of evidence has been that subjects are able to make use of partial information when responding to multiple-choice items. The subject chooses the alternative which has given rise to the lowest mismatch, except that if this minimum mismatch is larger than some threshold, the question is left unanswered.…
Descriptors: Guessing (Tests), Multiple Choice Tests, Predictive Measurement, Science Tests

Bruno, James E.; Dirkzwager, A. – Educational and Psychological Measurement, 1995
Determining the optimal number of choices on a multiple-choice test is explored analytically from an information theory perspective. The analysis revealed that, in general, three choices seem optimal. This finding is in agreement with previous statistical and psychometric research. (SLD)
Descriptors: Distractors (Tests), Information Theory, Multiple Choice Tests, Psychometrics
Powell, J. C. – 1976
The results of five studies into the characteristics of wrong answers as a class of divergent behavior are presented. The evidence from these studies, when taken in combination, suggests that the tendency of researchers to ignore wrong answers has been a fundamental procedural error of broad scope and serious consequences. Instead of the straight…
Descriptors: Behavior Change, Career Development, Developmental Stages, Divergent Thinking
Kehoe, Jerard – 1995
This digest describes some basics of the construction of multiple-choice tests. As a rule, the test maker should strive for test item stems (introductory questions or incomplete statements at the beginning of each item that are followed by the options) that are clear and parsimonious, answers that are unequivocal and chosen by the students who do…
Descriptors: Culture Fair Tests, Distractors (Tests), Educational Assessment, Item Bias
Livingston, Samuel A. – 1986
This paper deals with test fairness regarding a test consisting of two parts: (1) a "common" section, taken by all students; and (2) a "variable" section, in which some students may answer a different set of questions from other students. For example, a test taken by several thousand students each year contains a common multiple-choice portion and…
Descriptors: Difficulty Level, Error of Measurement, Essay Tests, Mathematical Models
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
Frary, Robert B. – 1995
This digest presents a list of recommendations for writing multiple-choice test items, based on psychometrics and logical deduction. Questions should ask more than mere knowledge of facts and should not contain superfluous information as an introduction to the question. Each question should focus on some specific aspect of the course, and the item…
Descriptors: Culture Fair Tests, Distractors (Tests), Educational Assessment, Item Bias
Yen, Wendy M. – 1979
Three test-analysis models were used to analyze three types of simulated test score data plus the results of eight achievement tests. Chi-square goodness-of-fit statistics were used to evaluate the appropriateness of the models to the four kinds of data. Data were generated to simulate the responses of 1,000 students to 36 pseudo-items by…
Descriptors: Achievement Tests, Correlation, Goodness of Fit, Item Analysis