Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Asia Pacific Journal of… | 1 |
EURASIA Journal of… | 1 |
Educational and Psychological… | 1 |
Grantee Submission | 1 |
International Journal of… | 1 |
Large-scale Assessments in… | 1 |
Author
Chengyu Cui | 1 |
Choi, Kyong Mi | 1 |
Chun Wang | 1 |
Fan, Xitao | 1 |
Gongjun Xu | 1 |
Jin, Ying | 1 |
Kang, Minsoo | 1 |
Khorramdel, Lale | 1 |
Lee, Young-Sun | 1 |
Lin, Jing-Wen | 1 |
Oon, Pey-Tee | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 5 |
Education Level
Elementary Secondary Education | 5 |
Elementary Education | 3 |
Grade 8 | 3 |
Junior High Schools | 3 |
Middle Schools | 3 |
Secondary Education | 3 |
Audience
Location
Singapore | 2 |
South Korea | 2 |
Asia | 1 |
Hong Kong | 1 |
Japan | 1 |
Taiwan | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Trends in International… | 6 |
Big Five Inventory | 1 |
What Works Clearinghouse Rating
Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Lin, Jing-Wen; Yu, Ruan-Ching – Asia Pacific Journal of Education, 2022
Modelling ability is one of the essential elements of the latest educational reforms, and Trends in International Mathematics and Science Study (TIMSS) is a curriculum-based assessment which allows educational systems worldwide to inspect the curricular influences. The aims of this study were to examine the role of modelling ability in the…
Descriptors: Grade 8, Educational Change, Cross Cultural Studies, Test Items
von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Choi, Kyong Mi; Lee, Young-Sun; Park, Yoon Soo – EURASIA Journal of Mathematics, Science & Technology Education, 2015
International trended assessments have long attempted to provide instructional information to educational researchers and classroom teachers. Studies have shown that traditional methods of item analysis have not provided specific information that can be directly applicable to improve student performance. To this end, cognitive diagnosis models…
Descriptors: International Assessment, Mathematics Tests, Grade 8, Models
Jin, Ying; Kang, Minsoo – Large-scale Assessments in Education, 2016
Background: The current study compared four differential item functioning (DIF) methods to examine their performances in terms of accounting for dual dependency (i.e., person and item clustering effects) simultaneously by a simulation study, which is not sufficiently studied under the current DIF literature. The four methods compared are logistic…
Descriptors: Comparative Analysis, Test Bias, Simulation, Regression (Statistics)
Oon, Pey-Tee; Fan, Xitao – International Journal of Science Education, 2017
Students' attitude towards science (SAS) is often a subject of investigation in science education research. Survey of rating scale is commonly used in the study of SAS. The present study illustrates how Rasch analysis can be used to provide psychometric information of SAS rating scales. The analyses were conducted on a 20-item SAS scale used in an…
Descriptors: Item Response Theory, Psychometrics, Attitude Measures, Rating Scales