Publication Date
| In 2025 | 0 |
| Since 2024 | 2 |
Descriptor
| Test Bias | 2 |
| Testing Problems | 2 |
| Bilingual Students | 1 |
| Effect Size | 1 |
| Equal Education | 1 |
| Error of Measurement | 1 |
| Evaluation Methods | 1 |
| Inclusion | 1 |
| Intelligence Differences | 1 |
| Item Response Theory | 1 |
| Racial Discrimination | 1 |
| More ▼ | |
Author
| Allison Ames | 1 |
| Angela Johnson | 1 |
| Brandon Crawford | 1 |
| Elizabeth Barker | 1 |
| James D. Weese | 1 |
| Marcos Viveros Cespedes | 1 |
| Ronna C. Turner | 1 |
| Xinya Liang | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJames D. Weese; Ronna C. Turner; Allison Ames; Xinya Liang; Brandon Crawford – Journal of Experimental Education, 2024
In this study a standardized effect size was created for use with the SIBTEST procedure. Using this standardized effect size, a single set of heuristics was developed that are appropriate for data fitting different item response models (e.g., 2-parameter logistic, 3-parameter logistic). The standardized effect size rescales the raw beta-uni value…
Descriptors: Test Bias, Test Items, Item Response Theory, Effect Size
Angela Johnson; Elizabeth Barker; Marcos Viveros Cespedes – Educational Measurement: Issues and Practice, 2024
Educators and researchers strive to build policies and practices on data and evidence, especially on academic achievement scores. When assessment scores are inaccurate for specific student populations or when scores are inappropriately used, even data-driven decisions will be misinformed. To maximize the impact of the research-practice-policy…
Descriptors: Equal Education, Inclusion, Evaluation Methods, Error of Measurement
