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Rios, Joseph – Applied Measurement in Education, 2022
To mitigate the deleterious effects of rapid guessing (RG) on ability estimates, several rescoring procedures have been proposed. Underlying many of these procedures is the assumption that RG is accurately identified. At present, there have been minimal investigations examining the utility of rescoring approaches when RG is misclassified, and…
Descriptors: Accuracy, Guessing (Tests), Scoring, Classification
Jiayi Deng – ProQuest LLC, 2024
Test score comparability in international large-scale assessments (LSA) is of utmost importance in measuring the effectiveness of education systems and understanding the impact of education on economic growth. To effectively compare test scores on an international scale, score linking is widely used to convert raw scores from different linguistic…
Descriptors: Item Response Theory, Scoring Rubrics, Scoring, Error of Measurement
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Joseph A. Rios; Jiayi Deng – Educational and Psychological Measurement, 2025
To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…
Descriptors: Scoring, Guessing (Tests), Reaction Time, Item Response Theory
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Wise, Steven; Kuhfeld, Megan – Applied Measurement in Education, 2021
Effort-moderated (E-M) scoring is intended to estimate how well a disengaged test taker would have performed had they been fully engaged. It accomplishes this adjustment by excluding disengaged responses from scoring and estimating performance from the remaining responses. The scoring method, however, assumes that the remaining responses are not…
Descriptors: Scoring, Achievement Tests, Identification, Validity
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Wise, Steven L.; Kuhfeld, Megan R. – Journal of Educational Measurement, 2021
There has been a growing research interest in the identification and management of disengaged test taking, which poses a validity threat that is particularly prevalent with low-stakes tests. This study investigated effort-moderated (E-M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring. Using…
Descriptors: Scoring, Data Use, Response Style (Tests), Guessing (Tests)
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Gustafsson, Martin; Barakat, Bilal Fouad – Comparative Education Review, 2023
International assessments inform education policy debates, yet little is known about their floor effects: To what extent do they fail to differentiate between the lowest performers, and what are the implications of this? TIMSS, SACMEQ, and LLECE data are analyzed to answer this question. In TIMSS, floor effects have been reduced through the…
Descriptors: Achievement Tests, Elementary Secondary Education, International Assessment, Foreign Countries
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Dimitrov, Dimiter M.; Atanasov, Dimitar V.; Luo, Yong – Measurement: Interdisciplinary Research and Perspectives, 2020
This study examines and compares four person-fit statistics (PFSs) in the framework of the "D"- scoring method (DSM): (a) van der Flier's "U3" statistic; (b) "Ud" statistic, as a modification of "U3" under the DSM; (c) "Zd" statistic, as a modification of the "Z3 (l[subscript z])"…
Descriptors: Goodness of Fit, Item Analysis, Item Response Theory, Scoring
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Cesur, Kursat – Educational Policy Analysis and Strategic Research, 2019
Examinees' performances are assessed using a wide variety of different techniques. Multiple-choice (MC) tests are among the most frequently used ones. Nearly, all standardized achievement tests make use of MC test items and there is a variety of ways to score these tests. The study compares number right and liberal scoring (SAC) methods. Mixed…
Descriptors: Multiple Choice Tests, Scoring, Evaluation Methods, Guessing (Tests)
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Sarac, Merve; Loken, Eric – International Journal of Testing, 2023
This study is an exploratory analysis of examinee behavior in a large-scale language proficiency test. Despite a number-right scoring system with no penalty for guessing, we found that 16% of examinees omitted at least one answer and that women were more likely than men to omit answers. Item-response theory analyses treating the omitted responses…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Second Language Learning
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Lin, Chih-Kai – Language Assessment Quarterly, 2018
With multiple options to choose from, there is always a chance of lucky guessing by examinees on multiple-choice (MC) items, thereby potentially introducing bias in item difficulty estimates. Correct responses by random guessing thus pose threats to the validity of claims made from test performance on an MC test. Under the Rasch framework, the…
Descriptors: Guessing (Tests), Item Response Theory, Multiple Choice Tests, Language Tests
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Wise, Steven L. – Educational Measurement: Issues and Practice, 2017
The rise of computer-based testing has brought with it the capability to measure more aspects of a test event than simply the answers selected or constructed by the test taker. One behavior that has drawn much research interest is the time test takers spend responding to individual multiple-choice items. In particular, very short response…
Descriptors: Guessing (Tests), Multiple Choice Tests, Test Items, Reaction Time
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Foley, Brett P. – Practical Assessment, Research & Evaluation, 2016
There is always a chance that examinees will answer multiple choice (MC) items correctly by guessing. Design choices in some modern exams have created situations where guessing at random through the full exam--rather than only for a subset of items where the examinee does not know the answer--can be an effective strategy to pass the exam. This…
Descriptors: Guessing (Tests), Multiple Choice Tests, Case Studies, Test Construction
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Long, Caroline; Engelbrecht, Johann; Scherman, Vanessa; Dunne, Tim – Pythagoras, 2016
The purpose of the South African Mathematics Olympiad is to generate interest in mathematics and to identify the most talented mathematical minds. Our focus is on how the handling of missing data affects the selection of the 'best' contestants. Two approaches handling missing data, applying the Rasch model, are described. The issue of guessing is…
Descriptors: Foreign Countries, Competition, Secondary School Students, Talent Identification
Novacek, Paul – International Association for Development of the Information Society, 2013
Traditional knowledge assessments rely on multiple-choice type questions that only report a right or wrong answer. The reliance within the education system on this technique infers that a student who provides a correct answer purely through guesswork possesses knowledge equivalent to a student who actually knows the correct answer. A more complete…
Descriptors: Adult Learning, Multiple Choice Tests, Guessing (Tests), Confidence Testing
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Fors, Uno G. H.; Gunning, William T. – Journal of Educational Computing Research, 2014
Virtual patient cases (VPs) are used for healthcare education and assessment. Most VP systems track user interactions to be used for assessment. Few studies have investigated how virtual exam cases should be scored and graded. We have applied eight different scoring models on a data set from 154 students. Issues studied included the impact of…
Descriptors: Scoring Rubrics, Health Education, Evaluation Methods, Case Method (Teaching Technique)
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