A Proposed Method to Combine Ranking and Graphic Rating in Performance Appraisal
The Quantitative Ranking Scale
Bibliographic Data
| ID | 20281995 |
|---|---|
| Authors | Chi‐Kwan Chiu (Albany State University), Chi-Kwan Chiu (University at Albany, State University of New York), George M Alliger (0000-0002-8498-4814, University at Albany, State University of New York) |
| Year | 1990 |
| Volume | 50 |
| Issue | 3 |
| Pages | 493-503 |
| Publication date | 1990-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013164490503003 |
| OpenAlex | W2158269965 |
| Language | EN |
| References cited | 14 |
A method is proposed to combine a relative and an absolute approach to performance appraisal; specifically, graphic rating and ranking are combined. In two studies which examined this method, called the Quantitative Ranking Scale (QRS), less leniency generally was found in QRS than in graphic rating. The psychometric performance of the QRS was best when the distinction between the QRS and pure ranking was least. Nonetheless, the system would appear to hold promise as an alternative to graphic rating that could easily be adapted to other rating formats, such as behavioral anchoring or computerized rating
Machine learning · Ranking (information retrieval) · Rating scale · Scale (ratio) · Statistics · Artificial Intelligence · Behavioral and Psychological Studies · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing
| Citation velocity | historical |
|---|---|
| Highly cited | No |