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Direct linkWallace, Matthew P.; Ke, Haijiao – TEFLIN Journal: A publication on the teaching and learning of English, 2023
This study examined the content alignment between an English as a foreign language skills curriculum and a provincial language test in China. When there is misalignment in the content between the standards of a curriculum and a test, conclusions about student abilities and teaching effectiveness can be questioned. To examine this, three categories…
Descriptors: Language Tests, Alignment (Education), Second Language Learning, Second Language Instruction
Goolsby-Cole, Cody; Bass, Sarah M.; Stanwyck, Liz; Leupen, Sarah; Carpenter, Tara S.; Hodges, Linda C. – Journal of College Science Teaching, 2023
During the pandemic, the use of question pools for online testing was recommended to mitigate cheating, exposing multitudes of science, technology, engineering, and mathematics (STEM) students across the globe to this practice. Yet instructors may be unfamiliar with the ways that seemingly small changes between questions in a pool can expose…
Descriptors: Science Instruction, Computer Assisted Testing, Cheating, STEM Education
Download full textYildirim, Ozen – International Education Studies, 2019
The measurement tool not measuring the specific construct has a validity problem. Individuals based on the results obtained from this type of tool should not be evaluated. The purpose of this study was to examine the differentiated item functioning and item bias of mathematics items in the Programme for International Student Achievement 2012…
Descriptors: Gender Differences, Mathematics Tests, Test Bias, Achievement Tests
Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Harrison, Michael – Educational and Psychological Measurement, 2019
Building on prior research on the relationships between key concepts in item response theory and classical test theory, this note contributes to highlighting their important and useful links. A readily and widely applicable latent variable modeling procedure is discussed that can be used for point and interval estimation of the individual person…
Descriptors: True Scores, Item Response Theory, Test Items, Test Theory
Bürkner, Paul-Christian; Schulte, Niklas; Holling, Heinz – Educational and Psychological Measurement, 2019
Forced-choice questionnaires have been proposed to avoid common response biases typically associated with rating scale questionnaires. To overcome ipsativity issues of trait scores obtained from classical scoring approaches of forced-choice items, advanced methods from item response theory (IRT) such as the Thurstonian IRT model have been…
Descriptors: Item Response Theory, Measurement Techniques, Questionnaires, Rating Scales
Robitzsch, Alexander; Lüdtke, Oliver – Assessment in Education: Principles, Policy & Practice, 2019
One major aim of international large-scale assessments (ILSAs) is to monitor changes in student performance over time. To accomplish this task, a set of common items is repeatedly administered in each assessment and linking methods are used to align the results from the different assessments on a common scale. The present article introduces a…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
Neitzel, Jennifer; Early, Diane; Sideris, John; LaForrett, Doré; Abel, Michael B.; Soli, Margaret; Davidson, Dawn L.; Haboush-Deloye, Amanda; Hestenes, Linda L.; Jenson, Denise; Johnson, Cindy; Kalas, Jennifer; Mamrak, Angela; Masterson, Marie L.; Mims, Sharon U.; Oya, Patti; Philson, Bobbi; Showalter, Megan; Warner-Richter, Mallory; Kortright Wood, Jill – Journal of Early Childhood Research, 2019
The Early Childhood Environment Rating Scales, including the "Early Childhood Environment Rating Scale--Revised" (Harms et al., 2005) and the "Early Childhood Environment Rating Scale, Third Edition" (Harms et al., 2015) are the most widely used observational assessments in early childhood learning environments. The most recent…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Scoring
Bundsgaard, Jeppe – Large-scale Assessments in Education, 2019
International large-scale assessments like international computer and information literacy study (ICILS) (Fraillon et al. in International Association for the Evaluation of Educational Achievement (IEA), 2015) provide important empirically-based knowledge through the proficiency scales, of what characterizes tasks at different difficulty levels,…
Descriptors: Test Bias, International Assessment, Test Items, Difficulty Level
Maseko, Jeremiah; Luneta, Kakoma; Long, Caroline – Pythagoras, 2019
The rational number knowledge of student teachers, in particular the equivalence of fractions, decimals, and percentages, and their comparison and ordering, is the focus of this article. An instrument comprising multiple choice, short answer and constructed response formats was designed to test conceptual and procedural understanding. Application…
Descriptors: Mathematics Instruction, Number Concepts, Test Validity, Models
Peabody, Michael R.; Wind, Stefanie A. – Journal of Educational Measurement, 2019
Setting performance standards is a judgmental process involving human opinions and values as well as technical and empirical considerations. Although all cut score decisions are by nature somewhat arbitrary, they should not be capricious. Judges selected for standard-setting panels should have the proper qualifications to make the judgments asked…
Descriptors: Standard Setting, Decision Making, Performance Based Assessment, Evaluators
A Hybrid Approach for Automatic Generation of Named Entity Distractors for Multiple Choice Questions
Patra, Rakesh; Saha, Sujan Kumar – Education and Information Technologies, 2019
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are…
Descriptors: Multiple Choice Tests, High Stakes Tests, Semantics, Evaluation Methods
Wu, Qian; De Laet, Tinne; Janssen, Rianne – Journal of Educational Measurement, 2019
Single-best answers to multiple-choice items are commonly dichotomized into correct and incorrect responses, and modeled using either a dichotomous item response theory (IRT) model or a polytomous one if differences among all response options are to be retained. The current study presents an alternative IRT-based modeling approach to…
Descriptors: Multiple Choice Tests, Item Response Theory, Test Items, Responses
Winchip, Emily; Stevenson, Howard; Milner, Alison – Educational Review, 2019
As the Global Education Reform Movement (GERM) spreads, key questions that attempt to identify both the nature and the increasing scope and scale of this phenomenon become empirically significant. The concern of this article is to highlight some of the complexities of measuring one key element of the GERM: the privatisation of public education…
Descriptors: Privatization, Foreign Countries, Item Response Theory, Probability
Care, Esther; Vista, Alvin; Kim, Helyn – UNESCO Bangkok, 2019
UNESCO's Asia-Pacific Regional Bureau for Education has been working on education quality under the name of 'transversal competencies' (TVC) since 2013. Many of these competencies have been included in national education policy and curricula of countries in the region, but now the importance accorded them is increasingly gaining attention. As…
Descriptors: Foreign Countries, Educational Quality, 21st Century Skills, Competence
Nazaretsky, Tanya; Hershkovitz, Sara; Alexandron, Giora – International Educational Data Mining Society, 2019
Sequencing items in adaptive learning systems typically relies on a large pool of interactive question items that are analyzed into a hierarchy of skills, also known as Knowledge Components (KCs). Educational data mining techniques can be used to analyze students response data in order to optimize the mapping of items to KCs, with similarity-based…
Descriptors: Intelligent Tutoring Systems, Item Response Theory, Measurement, Testing
