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Kim, Kyung Yong; Lee, Won-Chan – Applied Measurement in Education, 2017
This article provides a detailed description of three factors (specification of the ability distribution, numerical integration, and frame of reference for the item parameter estimates) that might affect the item parameter estimation of the three-parameter logistic model, and compares five item calibration methods, which are combinations of the…
Descriptors: Test Items, Item Response Theory, Comparative Analysis, Methods
Köhler, Carmen; Pohl, Steffi; Carstensen, Claus H. – Journal of Educational Measurement, 2017
Competence data from low-stakes educational large-scale assessment studies allow for evaluating relationships between competencies and other variables. The impact of item-level nonresponse has not been investigated with regard to statistics that determine the size of these relationships (e.g., correlations, regression coefficients). Classical…
Descriptors: Test Items, Cognitive Measurement, Testing Problems, Regression (Statistics)
Bayaydah, Areen Mohammad; Altwissi, Ahmad Issa – International Online Journal of Primary Education, 2020
This study aimed to identify and analyze the patterns of final exam questions prepared by English teachers for the 9th and 10th grades and to analyze all the revision questions presented in the English language textbooks in Jordan, based on Bloom's taxonomy to determine the nature and types of these questions. The sample of the study consisted of…
Descriptors: Taxonomy, Textbook Content, Content Analysis, Language Tests
Chen, Michelle Y.; Flasko, Jennifer J. – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2020
Seeking evidence to support content validity is essential to test validation. This is especially the case in contexts where test scores are interpreted in relation to external proficiency standards and where new test content is constantly being produced to meet test administration and security demands. In this paper, we describe a modified…
Descriptors: Foreign Countries, Reading Tests, Language Tests, English (Second Language)
Basaraba, Deni L.; Yovanoff, Paul; Shivraj, Pooja; Ketterlin-Geller, Leanne R. – Practical Assessment, Research & Evaluation, 2020
Stopping rules for fixed-form tests with graduated item difficulty are intended to stop administration of a test at the point where students are sufficiently unlikely to provide a correct response following a pattern of incorrect responses. Although widely employed in fixed-form tests in education, little research has been done to empirically…
Descriptors: Formative Evaluation, Test Format, Test Items, Difficulty Level
Lundgren, Erik; Eklöf, Hanna – Educational Research and Evaluation, 2020
The present study used process data from a computer-based problem-solving task as indications of behavioural level of test-taking effort, and explored how behavioural item-level effort related to overall test performance and self-reported effort. Variables were extracted from raw process data and clustered. Four distinct clusters were obtained and…
Descriptors: Computer Assisted Testing, Problem Solving, Response Style (Tests), Test Items
Jia, Bing; He, Dan; Zhu, Zhemin – Problems of Education in the 21st Century, 2020
The quality of multiple-choice questions (MCQs) as well as the student's solve behavior in MCQs are educational concerns. MCQs cover wide educational content and can be immediately and accurately scored. However, many studies have found some flawed items in this exam type, thereby possibly resulting in misleading insights into students'…
Descriptors: Foreign Countries, Multiple Choice Tests, Test Items, Item Response Theory
Scribner, Emily D.; Harris, Sara E. – Journal of Geoscience Education, 2020
The Mineralogy Concept Inventory (MCI) is a statistically validated 18-question assessment that can be used to measure learning gains in introductory mineralogy courses. Development of the MCI was an iterative process involving expert consultation, student interviews, assessment deployment, and statistical analysis. Experts at the two universities…
Descriptors: Undergraduate Students, Mineralogy, Introductory Courses, Science Tests
Stack, Anna; Boitshwarelo, Bopelo; Reedy, Alison; Billany, Trevor; Reedy, Hannah; Sharma, Rajeev; Vemuri, Jyoti – Australasian Journal of Educational Technology, 2020
While research on online tests in higher education is steadily growing, there is little evidence in the literature of the use of learning management systems (LMS), such as Blackboard™, as rich sources of data on online tests practices. This paper reports on an investigation that used data from Blackboard™ LMS to gain insight into the purpose for…
Descriptors: Computer Assisted Testing, Integrated Learning Systems, Higher Education, Business Schools
Tarekegn, Getachew; Alemu, Mekbib; Taddesse, Mesfin; Kind, Per M. – African Journal of Research in Mathematics, Science and Technology Education, 2020
In physics education, assessments address various forms of scientific knowledge. Most of the existing test instruments emphasise the assessment of content knowledge. These tests fail to measure the epistemic aspects of science. Thus, assessing epistemic knowledge is a theme that demands investigation. This study applies Rasch analysis to help…
Descriptors: Science Teachers, Knowledge Level, Energy, Magnets
Harta, Johnsen; Rasuh, Novena Tesalonika; Seriang, Angela – Journal of Science Learning, 2020
High Order Thinking Skills (HOTS) are a significant part of the implementation of the 2013 Curriculum to develop student competencies in the 21st century. Not only in the context of learning are HOTS considered important. They contribute to the National Examination held in Indonesia, so careful preparation for this exam is needed. Chemistry has…
Descriptors: Chemistry, Science Tests, National Competency Tests, Test Items
Lu, Jing; Wang, Chun – Journal of Educational Measurement, 2020
Item nonresponses are prevalent in standardized testing. They happen either when students fail to reach the end of a test due to a time limit or quitting, or when students choose to omit some items strategically. Oftentimes, item nonresponses are nonrandom, and hence, the missing data mechanism needs to be properly modeled. In this paper, we…
Descriptors: Item Response Theory, Test Items, Standardized Tests, Responses
Johnson, Stacey; Vuillemin, Anne; Geidne, Susanna; Kokko, Sami; Epstein, Jonathan; Van Hoye, Aurélie – Health Education & Behavior, 2020
Settings-based approaches have become an increasing health promotion focus since the World Health Organization's 1986 Ottawa Charter. While schools, cities, and prisons have implemented this approach, its development within sports environments is recent. Sports are a popular leisure-time activity, requiring validated tools to measure health…
Descriptors: Clubs, Health Promotion, Athletics, Test Construction
Lee, HyeSun; Smith, Weldon Z. – Educational and Psychological Measurement, 2020
Based on the framework of testlet models, the current study suggests the Bayesian random block item response theory (BRB IRT) model to fit forced-choice formats where an item block is composed of three or more items. To account for local dependence among items within a block, the BRB IRT model incorporated a random block effect into the response…
Descriptors: Bayesian Statistics, Item Response Theory, Monte Carlo Methods, Test Format
Dymond, Benjamin Z.; Swenty, Matthew; Carroll, J. Chris – Journal of Civil Engineering Education, 2020
The objectives of this study were to investigate the cognitive Bloom's taxonomy levels achieved in an introductory reinforced concrete design course, determine if the Bloom's levels assigned to the same exam questions by different professors varied, characterize student performance in relation to Bloom's levels, and quantify the Bloom's level…
Descriptors: Comparative Analysis, Introductory Courses, Design, Engineering Education

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