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Assessing item-feature effects with item response tree models.
British Journal of Mathematical and Statistical Psychology ( IF 1.5 ) Pub Date : 2019-03-26 , DOI: 10.1111/bmsp.12163
Ulf Böckenholt 1
Affiliation  

Recent applications of item response tree models demonstrate that this model class is well suited to detect midpoint and extremity response style effects in both attitudinal and personality measurements. This paper proposes an extension of this approach that goes beyond measuring response styles and allows us to examine item‐feature effects. In a reanalysis of three published data sets, it is shown that the proposed extension captures item‐feature effects across affirmative and reverse‐worded items in a psychological test. These effects are found to affect directional responses but not midpoint and extremity preferences. Moreover, accounting for item‐feature effects substantially improves model fit and interpretation of the construct measurement. The proposed extension can be implemented readily with current software programs that facilitate maximum likelihood estimation of item response models with missing data.

中文翻译:

使用项目响应树模型评估项目特征效果。

项目反应树模型的最新应用表明,该模型类非常适合在态度和性格测量中检测中点和四肢反应风格的影响。本文提出了这种方法的扩展,它超出了测量响应样式的范围,并允许我们检查项目功能的影响。在对三个已发布数据集的重新分析中,显示了拟议的扩展在心理测试中捕获了肯定和反词项目的项目特征效应。发现这些效果会影响方向响应,但不会影响中点和肢体偏好。此外,考虑项目特征效应可大大改善模型拟合度和构造度量的解释。
更新日期:2019-03-26
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