Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Achievement Tests | 1 |
| Bayesian Statistics | 1 |
| Computation | 1 |
| Correlation | 1 |
| Elementary School Students | 1 |
| Foreign Countries | 1 |
| Grade 5 | 1 |
| Item Response Theory | 1 |
| Mathematics Tests | 1 |
| Models | 1 |
| National Competency Tests | 1 |
| More ▼ | |
Author
| Gräfe, Linda | 1 |
| Pohl, Steffi | 1 |
| Rose, Norman | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
Audience
Location
| Germany | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkPohl, Steffi; Gräfe, Linda; Rose, Norman – Educational and Psychological Measurement, 2014
Data from competence tests usually show a number of missing responses on test items due to both omitted and not-reached items. Different approaches for dealing with missing responses exist, and there are no clear guidelines on which of those to use. While classical approaches rely on an ignorable missing data mechanism, the most recently developed…
Descriptors: Test Items, Achievement Tests, Item Response Theory, Models
