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Asiret, Semih; Sünbül, Seçil Ömür – Educational Sciences: Theory and Practice, 2016
In this study, equating methods for random group design using small samples through factors such as sample size, difference in difficulty between forms, and guessing parameter was aimed for comparison. Moreover, which method gives better results under which conditions was also investigated. In this study, 5,000 dichotomous simulated data…
Descriptors: Equated Scores, Sample Size, Difficulty Level, Guessing (Tests)
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Kane, Joanne; Chen, Juan; Ripkey, Douglas R. – AERA Online Paper Repository, 2016
We explore whether the item characteristics of four-response multiple-choice questions with "paired" (non-independent) response options differ from those with unpaired response options in an operational licensure exam in terms of guessing behavior. Our analyses suggest that they do not. We discuss conditions where response pairing might…
Descriptors: Test Items, Multiple Choice Tests, Licensing Examinations (Professions), Guessing (Tests)
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Starns, Jeffrey J.; Ma, Qiuli – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The two-high-threshold (2HT) model of recognition memory assumes that people make memory errors because they fail to retrieve information from memory and make a guess, whereas the continuous unequal-variance (UV) model and the low-threshold (LT) model assume that people make memory errors because they retrieve misleading information from memory.…
Descriptors: Guessing (Tests), Recognition (Psychology), Memory, Tests
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Goncher, Andrea M.; Boles, Wageeh – European Journal of Engineering Education, 2019
Concept inventories (CIs) are assessment instruments designed to measure students' conceptual understanding of fundamental concepts in particular fields. CIs utilise multiple-choice questions (MCQs), and specifically designed response selections, to help identify misconceptions. One shortcoming of this assessment instrument is that it fails to…
Descriptors: Engineering Education, Misconceptions, Concept Formation, Evaluation Methods
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Roy-Charland, Annie; Colangelo, Gabrielle; Foglia, Victoria; Reguigui, Leïla – Reading and Writing: An Interdisciplinary Journal, 2017
In tests used to measure reading comprehension, validity is important in obtaining accurate results. Unfortunately, studies have shown that people can correctly answer some questions of these tests without reading the related passage. These findings bring forth the need to address whether this phenomenon is observed in multiple-choice only tests…
Descriptors: Standardized Tests, Reading Tests, Reading Comprehension, Test Validity
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Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
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Masrai, Ahmed – SAGE Open, 2022
Vocabulary size measures serve important functions, not only with respect to placing learners at appropriate levels on language courses but also with a view to examining the progress of learners. One of the widely reported formats suitable for these purposes is the Yes/No vocabulary test. The primary aim of this study was to introduce and provide…
Descriptors: Vocabulary Development, Language Tests, English (Second Language), Second Language Learning
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Ames, Allison; Smith, Elizabeth – Journal of Educational Measurement, 2018
Bayesian methods incorporate model parameter information prior to data collection. Eliciting information from content experts is an option, but has seen little implementation in Bayesian item response theory (IRT) modeling. This study aims to use ethical reasoning content experts to elicit prior information and incorporate this information into…
Descriptors: Item Response Theory, Bayesian Statistics, Ethics, Specialists
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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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Smith, Ben O.; Wagner, Jamie – Journal of Economic Education, 2018
In 2016, Walstad and Wagner developed a procedure to split pre-test and post-test responses into four learning types: positive, negative, retained, and zero learning. This disaggregation is not only useful in academic studies; but also provides valuable insight to the practitioner: an instructor would take different mitigating actions in response…
Descriptors: Pretests Posttests, Value Added Models, Guessing (Tests), Monte Carlo Methods
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Storme, Martin; Myszkowski, Nils; Baron, Simon; Bernard, David – Journal of Intelligence, 2019
Assessing job applicants' general mental ability online poses psychometric challenges due to the necessity of having brief but accurate tests. Recent research (Myszkowski & Storme, 2018) suggests that recovering distractor information through Nested Logit Models (NLM; Suh & Bolt, 2010) increases the reliability of ability estimates in…
Descriptors: Intelligence Tests, Item Response Theory, Comparative Analysis, Test Reliability
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Paek, Insu – Educational and Psychological Measurement, 2016
The effect of guessing on the point estimate of coefficient alpha has been studied in the literature, but the impact of guessing and its interactions with other test characteristics on the interval estimators for coefficient alpha has not been fully investigated. This study examined the impact of guessing and its interactions with other test…
Descriptors: Guessing (Tests), Computation, Statistical Analysis, Test Length
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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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Gönülates, Emre; Kortemeyer, Gerd – Journal of Science Education and Technology, 2017
Homework is an important component of most physics courses. One of the functions it serves is to provide meaningful formative assessment in preparation for examinations. However, correlations between homework and examination scores tend to be low, likely due to unproductive student behavior such as copying and random guessing of answers. In this…
Descriptors: Homework, Physics, Science Instruction, Science Tests
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Soland, James; Zamarro, Gema; Cheng, Albert; Hitt, Collin – Educational Researcher, 2019
Social-emotional learning (SEL) is gaining increasing attention in education policy and practice due to growing evidence that related constructs are strongly predictive of long-term academic achievement and attainment. However, the work of educators to support SEL is hampered by a lack of available, unbiased measures of related competencies. In…
Descriptors: Social Development, Emotional Development, Accountability, Educational Policy
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