Una solución a la estimación inicial en los test adaptativos informatizados
A new method for computing ability estimates when the response vector contains only errors or correct responses is proposed. It is based on the Stepsize method (Dodd, 1990). Instead of taking as the new ability the midpoint between the last computed ability and the corresponding extreme b- value, th...
| Authors: | , |
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| Format: | article |
| Publication Date: | 1997 |
| Country: | España |
| Institution: | Universidad Autónoma de Madrid |
| Repository: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Language: | Spanish |
| OAI Identifier: | oai:repositorio.uam.es:10486/669394 |
| Online Access: | http://hdl.handle.net/10486/669394 |
| Access Level: | Open access |
| Keyword: | Computerized adaptive tests Maximun-likehood estimation Initial estimation Psicología |
| Summary: | A new method for computing ability estimates when the response vector contains only errors or correct responses is proposed. It is based on the Stepsize method (Dodd, 1990). Instead of taking as the new ability the midpoint between the last computed ability and the corresponding extreme b- value, the new method proposes as the new estimate the mean of a truncated normal (0, 1) distribution. Last ability estimate and the correponding extreme b-value are the points in which the normal distribution truncates. |
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