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
| Cutting Scores | 2 |
| Error of Measurement | 2 |
| True Scores | 2 |
| Academic Achievement | 1 |
| Child Abuse | 1 |
| Cost Effectiveness | 1 |
| Foreign Countries | 1 |
| Minimum Competencies | 1 |
| Prediction | 1 |
| Prevention | 1 |
| Reliability | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Opinion Papers | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
| Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMacCann, Robert G. – Educational and Psychological Measurement, 2008
It is shown that the Angoff and bookmarking cut scores are examples of true score equating that in the real world must be applied to observed scores. In the context of defining minimal competency, the percentage "failed" by such methods is a function of the length of the measuring instrument. It is argued that this length is largely…
Descriptors: True Scores, Cutting Scores, Minimum Competencies, Scores
Tsujimoto, Richard N.; Berger, Dale E. – Child Abuse and Neglect: The International Journal, 1988
Two criteria are discussed for determining cutting scores on a predictor variable for identifying cases of likely child abuse--utility maximizing and error minimizing. Utility maximizing is the preferable criterion, as it optimizes the balance between the costs of incorrect decisions and the benefits of correct decisions. (Author/JDD)
Descriptors: Child Abuse, Cost Effectiveness, Cutting Scores, Error of Measurement
