Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Foreign Countries | 3 |
International Assessment | 3 |
Models | 3 |
Test Bias | 3 |
Achievement Tests | 2 |
Elementary Secondary Education | 2 |
Grade 8 | 2 |
Mathematics Achievement | 2 |
Mathematics Tests | 2 |
Science Achievement | 2 |
Science Tests | 2 |
More ▼ |
Author
Cheng, Ying | 1 |
Daniel M. Bolt | 1 |
Jin, Ying | 1 |
Kang, Minsoo | 1 |
Lathrop, Quinn N. | 1 |
Qi Huang | 1 |
Shao, Can | 1 |
Weicong Lyu | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Elementary Education | 2 |
Elementary Secondary Education | 2 |
Grade 8 | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Grade 4 | 1 |
Intermediate Grades | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Trends in International… | 3 |
What Works Clearinghouse Rating
Qi Huang; Daniel M. Bolt; Weicong Lyu – Large-scale Assessments in Education, 2024
Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…
Descriptors: Test Items, Item Response Theory, Test Bias, Test Validity
Cheng, Ying; Shao, Can; Lathrop, Quinn N. – Educational and Psychological Measurement, 2016
Due to its flexibility, the multiple-indicator, multiple-causes (MIMIC) model has become an increasingly popular method for the detection of differential item functioning (DIF). In this article, we propose the mediated MIMIC model method to uncover the underlying mechanism of DIF. This method extends the usual MIMIC model by including one variable…
Descriptors: Test Bias, Models, Simulation, Sample Size
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)