...
首页> 外文期刊>Assessment >On the Validity of Forced Choice Scores Derived From the Thurstonian Item Response Theory Model
【24h】

On the Validity of Forced Choice Scores Derived From the Thurstonian Item Response Theory Model

机译:论龙村项目响应理论模型中强制选择评分的有效性

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Forced choice (FC) measures may be a desirable alternative to single stimulus (SS) Likert items, which are easier to fake and can have associated response biases. However, classical methods of scoring FC measures lead to ipsative data, which have a number of psychometric problems. A Thurstonian item response theory (TIRT) model has been introduced as a way to overcome these issues, but few empirical validity studies have been conducted to ensure its effectiveness. This was the goal of the current three studies, which used FC measures of domains from popular personality frameworks including the Big Five and HEXACO, and both statement and adjective item stems. We computed TIRT and ipsative scores and compared their validity estimates. Convergent and discriminant validity of the scores were evaluated by correlating them with SS scores, and test-criterion validity evidence was evaluated by examining their relationships with meaningful outcomes. In all three studies, there was evidence for the convergent and test-criterion validity of the TIRT scores, though at times this was on par with the validity of the ipsative scores. The discriminant validity of the TIRT scores was problematic and was often worse than the ipsative scores.
机译:强制选择(FC)措施可能是单刺激(SS)浪潮项目的理想替代品,这更容易伪造,并且可以具有相关的响应偏差。然而,评分FC测量的经典方法导致IPSIVE数据,具有许多心理学问题。围绕Thurstonian项目响应理论(TIRT)模型作为克服这些问题的一种方式,但已经进行了很少的经验有效性研究以确保其有效性。这是目前三项研究的目标,它使用了来自包括大五和六十次的流行人格框架的FC域的FC措施,以及陈述和形容词物品茎。我们计算了Tirt和Ipsative评分,并比较了他们的有效性估算。通过将它们与SS分数相关联来评估分数的收敛和判别有效性,并通过与有意义的结果进行检查来评估测试标准有效性证据。在三项研究中,有证据表明TIRT分数的收敛和测试标准有效性,但有时这与IPSIVE成绩的有效性有关。 TIRT分数的判别有效性是有问题的,通常比IPSIVE成绩更差。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号