Estimating Probabilities of Passing for Examinees With Incomplete Data in Mastery Tests.
Educ Psychol Meas
; 82(3): 580-609, 2022 Jun.
Article
en En
| MEDLINE
| ID: mdl-35444341
ABSTRACT
Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensing examinations. Investigators are often interested in estimating the probabilities of passing of the examinees with incomplete data on mastery tests. However, there is a lack of research on this estimation problem. The goal of this article is to suggest two new approaches-one each based on classical test theory and item response theory-for estimating the probabilities of passing of the examinees with incomplete data on mastery tests. The two approaches are demonstrated to have high accuracy and negligible misclassification rates.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Educ Psychol Meas
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos