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Using multidimensional item response theory to evaluate how response styles impact measurement.
British Journal of Mathematical and Statistical Psychology ( IF 2.6 ) Pub Date : 2019-03-28 , DOI: 10.1111/bmsp.12169
Daniel J Adams 1 , Daniel M Bolt 1 , Sien Deng 2 , Stevens S Smith 3 , Timothy B Baker 3
Affiliation  

Multidimensional item response theory (MIRT) models for response style (e.g., Bolt, Lu, & Kim, 2014, Psychological Methods, 19, 528; Falk & Cai, 2016, Psychological Methods, 21, 328) provide flexibility in accommodating various response styles, but often present difficulty in isolating the effects of response style(s) from the intended substantive trait(s). In the presence of such measurement limitations, we consider several ways in which MIRT models are nevertheless useful in lending insight into how response styles may interfere with measurement for a given test instrument. Such a study can also inform whether alternative design considerations (e.g., anchoring vignettes, self‐report items of heterogeneous content) that seek to control for response style effects may be helpful. We illustrate several aspects of an MIRT approach using real and simulated analyses.

中文翻译:

使用多维项目响应理论来评估响应样式如何影响度量。

多维项目反应理论(MIRT)模型响应的风格(如螺栓,陆,与金,2014年,心理学方法19,528;福尔克和彩,2016年,心理学的方法21,328)提供了适应各种响应方式的灵活性,但是在将响应方式的效果与预期的实质特征区分开来时常常会遇到困难。在存在此类测量限制的情况下,我们考虑使用MIRT模型的几种方式,有助于深入了解响应样式可能如何干扰给定测试仪器的测量。这样的研究还可以告知试图控制响应样式效果的替代设计注意事项(例如,锚定渐晕,异类内容的自我报告项目)是否可能有所帮助。我们使用真实和模拟分析说明了MIRT方法的几个方面。
更新日期:2019-03-28
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