Computerization and adaptive administration of the NEO PI-R
Computerization and adaptive administration of the NEO PI-R
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DOI：
10.1177/107319110000700404
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发表时间：
2000-12-01
期刊：
影响因子：
3.8
通讯作者：
Henson, JM
中科院分区：
文献类型：
--
作者：
Reise, SP;Henson, JM
本研究提出的问题是，基于项目反应理论 (IRT) 的计算机化自适应 NEO PI-R 的效果如何？为了探索这个问题，使用真实数据模拟（N = 1,059）来评估最大信息项选择计算机自适应测试（CAT）算法。研究结果表明，每个方面量表管理大约四个项目后，全面方面评分得到了令人满意的恢复。因此，通过 CAT 管理，NEO PI-R 可以减少一半，而精度损失很小。然而，结果也表明 CAT 算法不是必需的。我们发现，对于许多量表，管理每个方面量表的“最佳”四个项目会产生类似的结果。最后，我们讨论了计算机化人格评估的未来，并描述了 IRT 方法在此类评估中可能发挥的作用。
This study asks, how well does an item response theory (IRT) based computerized adaptive NEO PI-R work? To explore this question, real-data simulations (N = 1,059) were used to evaluate a maximum information item selection computerized adaptive test (CAT) algorithm. Findings indicated satisfactory recovery of full-scale facet scores with the administration of around four items per facet scale. Thus, the NEO PI-R could be reduced in half with little loss in precision by CAT administration. However, results also indicated that the CAT algorithm was not necessary. We found that for many scales, administering the "best" four items per facet scale would have produced similar results. In the conclusion, we discuss the future of computerized personality assessment and describe the role IRT methods might play in such assessments.