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Barrett, Michelle D.; van der Linden, Wim J. – Journal of Educational and Behavioral Statistics, 2019
Parameter linking in item response theory is generally necessary to adjust for differences between the true values for the same item and ability parameters due to the use of different identifiability restrictions in different calibrations. The research reported in this article explores a precision-weighted (PW) approach to the problem of…
Descriptors: Item Response Theory, Computation, Error of Measurement, Test Items
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Cintron, Dakota W. – ETS Research Report Series, 2021
The extent to which a test's time limit alters a test taker's performance is known as speededness. The manifestation of speededness, or speeded behavior on a test, can be in the form of random guessing, leaving a substantial proportion of test items unanswered, or rushed test-taking behavior in general. Speeded responses do not depend solely on a…
Descriptors: Classification, Research and Development, Timed Tests, Guessing (Tests)
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Ulitzsch, Esther; Penk, Christiane; von Davier, Matthias; Pohl, Steffi – Educational Assessment, 2021
Identifying and considering test-taking effort is of utmost importance for drawing valid inferences on examinee competency in low-stakes tests. Different approaches exist for doing so. The speed-accuracy+engagement model aims at identifying non-effortful test-taking behavior in terms of nonresponse and rapid guessing based on responses and…
Descriptors: Response Style (Tests), Guessing (Tests), Reaction Time, Measurement Techniques
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Zwanch, Karen – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
The appropriateness of guess and check as a problem-solving strategy has been debated. This qualitative study examines the use of guess and check by middle-grades students to solve linear systems of equations. Students' reasoning is examined within the number sequences framework, which is based in part on students' units coordination. Only…
Descriptors: Guessing (Tests), Middle School Students, Problem Solving, Mathematics Education
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Abu-Ghazalah, Rashid M.; Dubins, David N.; Poon, Gregory M. K. – Applied Measurement in Education, 2023
Multiple choice results are inherently probabilistic outcomes, as correct responses reflect a combination of knowledge and guessing, while incorrect responses additionally reflect blunder, a confidently committed mistake. To objectively resolve knowledge from responses in an MC test structure, we evaluated probabilistic models that explicitly…
Descriptors: Guessing (Tests), Multiple Choice Tests, Probability, Models
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Yildirim-Erbasli, Seyma Nur; Bulut, Okan – Educational Research and Evaluation, 2020
This study investigated the impact of students' test-taking effort on their growth estimates in reading. The sample consisted of 7,602 students (Grades 1 to 4) in the United States who participated in the fall and spring administrations of a computer-based reading assessment. First, a new response dataset was created by flagging both…
Descriptors: Response Style (Tests), Reading Tests, Guessing (Tests), Reaction Time
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Chaikovska, Olha; Bodnar, Alla; Spivachuk, Valentyna – Advanced Education, 2022
A high percentage of bachelor test-takers who failed the unified entrance examination test in 2021 demonstrated the lack of adequate reading strategies such as contextual guessing for improving exam performance. The study aims at evaluating the use of contextual guessing strategy during extra-curriculum EFL classes as a way to improve students'…
Descriptors: Test Wiseness, Reading Skills, Guessing (Tests), College Entrance Examinations
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Saatcioglu, Fatima Munevver; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2022
This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…
Descriptors: Accuracy, Classification, Item Response Theory, Programming Languages
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Leggett, Jack M. I.; Burt, Jennifer S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Successfully retrieving information protects it against later forgetting. Failed retrieval attempts are also beneficial if followed by study of corrective feedback. To explain both of these findings, researchers have proposed the "mediation hypothesis." In the case of learning from corrective feedback, initial errors may serve as…
Descriptors: Error Patterns, Cues, Recall (Psychology), Feedback (Response)
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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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Wise, Steven L.; Soland,, James; Bo, Yuanchao – International Journal of Testing, 2020
Disengaged test taking tends to be most prevalent with low-stakes tests. This has led to questions about the validity of aggregated scores from large-scale international assessments such as PISA and TIMSS, as previous research has found a meaningful correlation between the mean engagement and mean performance of countries. The current study, using…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
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Coniam, David; Lee, Tony; Lampropoulou, Leda – English Language Teaching, 2021
This article explores the issue of identifying guessers -- with a specific focus on multiple-choice tests. Guessing has long been considered a problem due to the fact that it compromises validity. A test taker scoring higher than they should through guessing does not provide a picture of their actual ability. After an initial description of issues…
Descriptors: Language Tests, Guessing (Tests), English (Second Language), Second Language Learning
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Lee, Sora; Bolt, Daniel M. – Journal of Educational Measurement, 2018
Both the statistical and interpretational shortcomings of the three-parameter logistic (3PL) model in accommodating guessing effects on multiple-choice items are well documented. We consider the use of a residual heteroscedasticity (RH) model as an alternative, and compare its performance to the 3PL with real test data sets and through simulation…
Descriptors: Statistical Analysis, Models, Guessing (Tests), Multiple Choice Tests
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Sideridis, Georgios; Tsaousis, Ioannis; Al-Harbi, Khaleel – Educational and Psychological Measurement, 2022
The goal of the present study was to address the analytical complexity of incorporating responses and response times through applying the Jeon and De Boeck mixture item response theory model in Mplus 8.7. Using both simulated and real data, we attempt to identify subgroups of responders that are rapid guessers or engage knowledge retrieval…
Descriptors: Reaction Time, Guessing (Tests), Item Response Theory, Information Retrieval
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Jimoh, Mohammed Idris; Daramola, Dorcas Sola; Oladele, Jumoke Iyabode; Sheu, Adaramaja Lukman – Anatolian Journal of Education, 2020
The study investigated items that were prone to guessing in Senior School Certificate Examinations (SSCE) Economics multiple-choice tests among students in Kwara State, Nigeria. The 2016 West African Senior Secondary Certificate Examinations (WASSCE) and National Examinations Council (NECO) Economics multiple-choice test items were subjected to…
Descriptors: Foreign Countries, High School Students, Guessing (Tests), Test Items
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