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
| Academic Standards | 1 |
| Achievement Rating | 1 |
| Correlation | 1 |
| Criterion Referenced Tests | 1 |
| Essays | 1 |
| Evaluators | 1 |
| Expertise | 1 |
| Interrater Reliability | 1 |
| Novices | 1 |
| Program Validation | 1 |
| Regression (Statistics) | 1 |
| More ▼ | |
Source
| Applied Measurement in… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkPowers, Donald E.; Escoffery, David S.; Duchnowski, Matthew P. – Applied Measurement in Education, 2015
By far, the most frequently used method of validating (the interpretation and use of) automated essay scores has been to compare them with scores awarded by human raters. Although this practice is questionable, human-machine agreement is still often regarded as the "gold standard." Our objective was to refine this model and apply it to…
Descriptors: Essays, Test Scoring Machines, Program Validation, Criterion Referenced Tests
