...
首页> 外文期刊>Frontiers in Psychology >Validity of Three IRT Models for Measuring and Controlling Extreme and Midpoint Response Styles
【24h】

Validity of Three IRT Models for Measuring and Controlling Extreme and Midpoint Response Styles

机译:三种IRT模型的有效性测量和控制极端和中点响应样式

获取原文
           

摘要

Response styles, the general tendency to use certain categories of rating scales over others, are a threat to the reliability and validity of self-report measures. The mixed partial credit model, the multidimensional nominal response model, and the item response tree model are three widely used models for measuring extreme and midpoint response styles and correcting their effects. This research aimed to examine and compare their validity by fitting them to empirical data and correlating the content-related factors and the response style-related factors in these models to extraneous criteria. The results showed that the content factors yielded by these models were moderately related to the content criterion and not related to the response style criteria. The response style factors were moderately related to the response style criteria and weakly related to the content criterion. Simultaneous analysis of more than one scale could improve their validity for measuring response styles. These findings indicate that the three models could control and measure extreme and midpoint response styles, though the validity of the mPCM for measuring response styles was not good in some cases. Overall, the multidimensional nominal response model performed slightly better than the other two models.
机译:响应样式,使用某些类别的评级规模的一般趋势是对自我报告措施的可靠性和有效性的威胁。混合部分信用模型,多维名义响应模型和项目响应树模型是三种广泛使用的模型,用于测量极端和中点响应样式并纠正其效果。这项研究旨在通过将它们拟合到经验数据并将这些模型中的内容相关因素和响应风格相关的因素与无关标准相关,对其进行检查和比较它们的有效性。结果表明,这些模型所产生的内容因子与内容标准进行了适度相关,与响应风格标准无关。响应风格因素与响应风格标准适度相关,与内容标准弱相关。同时分析多种比例可以提高其测量响应风格的有效性。这些发现表明,这三种模型可以控制和测量极端和中点响应样式,尽管MPCM用于测量响应样式的有效性在某些情况下并不好。总的来说,多维标称响应模型比其他两种模型略好。

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