Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Descriptor
Algorithms | 3 |
Hierarchical Linear Modeling | 3 |
Accuracy | 2 |
Classification | 2 |
Item Response Theory | 2 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
Attendance | 1 |
Comparative Analysis | 1 |
Computation | 1 |
Computer Software | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 3 | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Primary Education | 1 |
Audience
Location
Massachusetts (Boston) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sijia Huang; Dubravka Svetina Valdivia – Educational and Psychological Measurement, 2024
Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord's Wald X[superscript 2] test-based…
Descriptors: Item Analysis, Item Response Theory, Algorithms, Accuracy
Cross-Classified Item Response Theory Modeling with an Application to Student Evaluation of Teaching
Sijia Huang; Li Cai – Journal of Educational and Behavioral Statistics, 2024
The cross-classified data structure is ubiquitous in education, psychology, and health outcome sciences. In these areas, assessment instruments that are made up of multiple items are frequently used to measure latent constructs. The presence of both the cross-classified structure and multivariate categorical outcomes leads to the so-called…
Descriptors: Classification, Data Collection, Data Analysis, Item Response Theory
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence