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Asquith, Steven – TESL-EJ, 2022
Although an accurate measure of vocabulary size is integral to understanding the proficiency of language learners, the validity of multiple-choice (M/C) vocabulary tests to determine this has been questioned due to users guessing correct answers which inflates scores. In this paper the nature of guessing and partial knowledge used when taking the…
Descriptors: Guessing (Tests), English (Second Language), Second Language Learning, Language Tests
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
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Classification
Mahmud, Jumailiyah; Sutikno, Muzayanah; Naga, Dali S. – Educational Research and Reviews, 2016
The aim of this study is to determine variance difference between maximum likelihood and expected A posteriori estimation methods viewed from number of test items of aptitude test. The variance presents an accuracy generated by both maximum likelihood and Bayes estimation methods. The test consists of three subtests, each with 40 multiple-choice…
Descriptors: Maximum Likelihood Statistics, Computation, Item Response Theory, Test Items
Paulhus, Delroy L.; Dubois, Patrick J. – Educational and Psychological Measurement, 2014
The overclaiming technique is a novel assessment procedure that uses signal detection analysis to generate indices of knowledge accuracy (OC-accuracy) and self-enhancement (OC-bias). The technique has previously shown robustness over varied knowledge domains as well as low reactivity across administration contexts. Here we compared the OC-accuracy…
Descriptors: Educational Assessment, Knowledge Level, Accuracy, Cognitive Ability

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