NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 4,158 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip – Journal of Educational Measurement, 2023
Technical difficulties and other unforeseen events occasionally lead to incomplete data on educational tests, which necessitates the reporting of imputed scores to some examinees. While there exist several approaches for reporting imputed scores, there is a lack of any guidance on the reporting of the uncertainty of imputed scores. In this paper,…
Descriptors: Evaluation Methods, Scores, Standardized Tests, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Russell, Michael – Educational Measurement: Issues and Practice, 2022
Despite agreement about the central importance of validity for educational and psychological testing, consensus regarding the definition of validity remains elusive. Differences in the definition of validity are examined and reveals that a potential cause of disagreement stems from differences in word use and meanings given to key terms commonly…
Descriptors: Test Validity, Psychological Testing, Educational Testing, Vocabulary
Peer reviewed Peer reviewed
Direct linkDirect link
Kylie Gorney; Sandip Sinharay – Educational and Psychological Measurement, 2025
Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…
Descriptors: Scores, Test Theory, Test Items, Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Dongmei – Journal of Educational Measurement, 2022
Equating error is usually small relative to the magnitude of measurement error, but it could be one of the major sources of error contributing to mean scores of large groups in educational measurement, such as the year-to-year state mean score fluctuations. Though testing programs may routinely calculate the standard error of equating (SEE), the…
Descriptors: Error Patterns, Educational Testing, Group Testing, Statistical Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yanxuan Qu; Sandip Sinharay – ETS Research Report Series, 2023
Though a substantial amount of research exists on imputing missing scores in educational assessments, there is little research on cases where responses or scores to an item are missing for all test takers. In this paper, we tackled the problem of imputing missing scores for tests for which the responses to an item are missing for all test takers.…
Descriptors: Scores, Test Items, Accuracy, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
Peer reviewed Peer reviewed
Direct linkDirect link
Sireci, Stephen G. – Educational Measurement: Issues and Practice, 2021
The community of educational measurement researchers and practitioners has made many positive contributions to education, but has also become complacent and lost the public trust. In this article, reasons for the lack of public trust in educational testing are described, and core values for educational measurement are proposed. Reasons for…
Descriptors: Educational Testing, Trust (Psychology), Public Opinion, Values
Peer reviewed Peer reviewed
Direct linkDirect link
Sarah Alahmadi; Christine E. DeMars – Applied Measurement in Education, 2024
Large-scale educational assessments are sometimes considered low-stakes, increasing the possibility of confounding true performance level with low motivation. These concerns are amplified in remote testing conditions. To remove the effects of low effort levels in responses observed in remote low-stakes testing, several motivation filtering methods…
Descriptors: Multiple Choice Tests, Item Response Theory, College Students, Scores
ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics
Peer reviewed Peer reviewed
Direct linkDirect link
Ann Elisabeth Gunnulfsen – International Journal of Leadership in Education, 2024
Studies have shown how school professionals deal with large quantities of student test data and accountability policies in different ways. However, the subtle ways in which school leaders and teachers use their time, their power and their talk when dealing with external policy demands in daily practice is understudied. Using data from interviews…
Descriptors: Instructional Leadership, Teacher Leadership, Educational Policy, Policy Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Dominik Šmida; Elena Cipková; Michael Fuchs – International Journal of Science Education, 2024
Teachers can develop science literacy among pupils through Inquiry-Based Science Education. IBSE helps to evolve the inquiry skills necessary for understanding the world of science and nature. To be able to improve the level of inquiry skills systematically, we need to know the current level among pupils. For this reason, we designed a…
Descriptors: Foreign Countries, High School Students, Middle School Students, Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Treekom Prommaboon; Siriluck Boongthong; Prasong Tochot; Boontawee Imboonta; Prachit Intakanok; Veena Prachagool; Prasart Nuangchalerm – Journal of Education and Learning (EduLearn), 2024
This research employed a mixed-methods approach to explore the best practices of ordinary national educational testing (O-NET) to improve the quality of basic education. The methodology was divided into four phases, the first of which was a survey and analysis of the current situation at ONET. The sample group was made up of representatives of the…
Descriptors: Best Practices, Educational Testing, Standardized Tests, Educational Improvement
Peer reviewed Peer reviewed
Direct linkDirect link
Hogan, Thomas; DeStefano, Marissa; Gilby, Caitlin; Kosman, Dana; Peri, Joshua – Applied Measurement in Education, 2021
Buros' "Mental Measurements Yearbook (MMY)" has provided professional reviews of commercially published psychological and educational tests for over 80 years. It serves as a kind of conscience for the testing industry. For a random sample of 50 entries in the "19th MMY" (a total of 100 separate reviews) this study determined…
Descriptors: Test Reviews, Interrater Reliability, Psychological Testing, Educational Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2022
Takers of educational tests often receive proficiency levels instead of or in addition to scaled scores. For example, proficiency levels are reported for the Advanced Placement (AP®) and U.S. Medical Licensing examinations. Technical difficulties and other unforeseen events occasionally lead to missing item scores and hence to incomplete data on…
Descriptors: Computation, Data Analysis, Educational Testing, Accuracy
W. Christopher Brandt; Nathan Dadey; Carla Evans – National Center for the Improvement of Educational Assessment, 2024
Recent years have produced a surge in interest in improving state assessment programs. Many states are designing new assessments. Much of this innovation is aimed at addressing longstanding areas of unhappiness with typical domain-sampled, end-of-year state assessments: States want to streamline assessment activities, enhance the instructional…
Descriptors: Standardized Tests, Achievement Tests, Educational Testing, State Standards
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  278