文章基本信息

标题：CALIBRATING A NEW ITEM POOL TO ADAPTIVELY ASSESS THE BIG FIVE
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作者：María Dolores Nieto ; Francisco J. Abad ; Alejandro Hernández-Camacho 等
期刊名称：Psicothema
印刷版ISSN：0214-9915
电子版ISSN：1886-144X
出版年度：2017
卷号：29
期号：3
页码：390-395
DOI：10.7334/psicothema2016.391
出版社：Cologio Oficial de Psicólogos del Principado
摘要：Background : 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.
关键词：Item pool; computerized adaptive testing; personality assessment; Five Factor Model; graded response model.