Calibrating a new item pool to adaptively assess the Big Five

Even though the Five Factor Model (FFM) has been the dominant paradigm in personality research for the past two decades, very few studies have measured the FFM adaptively. Thus, the purpose of this research was the building of a new item pool to develop a computerized adaptive test (CAT) for persona...

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Detalles Bibliográficos
Autores: Nieto, María Dolores, Abad García, Francisco José, Hernández Camacho, Alejandro, Garrido, Luis Eduardo, Barrada, Juan Ramón, Aguado García, David, Olea Díaz, Julio
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/681097
Acceso en línea:http://hdl.handle.net/10486/681097
https://dx.doi.org/10.7334/psicothema2016.391
Access Level:acceso abierto
Palabra clave:Item pool
computerized adaptive testing
Personality assessment
Five Factor Model
Graded response model
Banco de ítems
Test adaptativo informatizado
Evaluación de la personalidad
Modelo de los cinco factores
Modelo de respuesta graduada
Psicología
Descripción
Sumario:Even though the Five Factor Model (FFM) has been the dominant paradigm in personality research for the past two decades, very few studies have measured the FFM adaptively. Thus, the purpose of this research was the building of a new item pool to develop a computerized adaptive test (CAT) for personality assessment. Method: A pool of 480 items that measured the FFM facets was developed and applied to 826 participants. Facets were calibrated separately and item selection was performed being mindful of the preservation of unidimensionality of each facet. Then, a post-hoc simulation study was carried out to test the performance of separate CATs to measure the facets. Results: The final item pool was composed of 360 items with good psychometric properties. Findings reveal that a CAT administration of four items per facet (total length of 120 items) provides accurate facets scores, while maintaining the factor structure of the FFM. Conclusions: An item pool with good psychometric properties was obtained and a CAT simulation study demonstrated that the FFM facets could be measured with precision using a third of the items in the pool