Fitting item response theory models to two personality inventories: Issues and insights
Fitting item response theory models to two personality inventories: Issues and insights
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DOI：
10.1207/s15327906mbr3604_03
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发表时间：
2001-01-01
影响因子：
3.8
通讯作者：
Williams, B
中科院分区：
文献类型：
--
作者：
Chernyshenko, OS;Stark, S;Williams, B
本研究比较了几种IRT模型与两种人格评估工具的拟合情况。13,059人回答了美国-英语版的十六种人格因素问卷（16 PF）和1,770人回答了戈德堡的50项大五人格测量。各种有关的问题，适合的IRT模型的个性数据进行了审议。我们检查了两个最流行的参数模型，这些模型是为二分评分项目设计的（即，二参数和三参数逻辑模型）和多分类项目的参数模型（Samejima的分级反应模型）。还检查了Levine的非参数最大似然公式评分模型的二分和多分数据，这是以前发现，提供良好的拟合几个认知能力测试（Drasperson，Levine，Tsien，威廉姆斯，和米德，1995）。两参数和三参数logistic模型对某些量表的拟合相当好，但对其他量表的拟合不好;分级反应模型通常拟合不好。非参数公式评分模型提供了所考虑模型的最佳拟合。这些研究结果的人格测量和人员选拔的几个影响进行了说明。
The present study compared the fit of several IRT models to two personality assessment instruments. Data from 13,059 individuals responding to the US-English version of the Fifth Edition of the Sixteen Personality Factor Questionnaire (16PF) and 1,770 individuals responding to Goldberg's 50 item Big Five Personality measure were analyzed. Various issues pertaining to the fit of the IRT models to personality data were considered. We examined two of the most popular parametric models designed for dichotomously scored items (i.e., the two- and three-parameter logistic models) and a parametric model for polytomous items (Samejima's graded response model). Also examined were Levine's nonparametric maximum likelihood formula scoring models for dichotomous and polytomous data, which were previously found to provide good fits to several cognitive ability tests (Drasgow, Levine, Tsien, Williams, & Mead, 1995). The two- and three-parameter logistic models fit some scales reasonably well but not others;, the graded response model generally did not fit well. The nonparametric formula scoring models provided the best fit of the models considered. Several implications of these findings for personality measurement and personnel selection were described.