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Covariate-free and Covariate-dependent Reliability.无协变量和依赖协变量的信度
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Measuring Response Styles Across the Big Five: A Multiscale Extension of an Approach Using Multinomial Processing Trees.跨大五人格测量反应风格:使用多项处理树方法的多尺度扩展
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小题大做还是大惊小怪?关于反应方式影响的模拟研究

Mountain or Molehill? A Simulation Study on the Impact of Response Styles.

作者信息

Plieninger Hansjörg

机构信息

University of Mannheim, Mannheim, Germany.

出版信息

Educ Psychol Meas. 2017 Jan;77(1):32-53. doi: 10.1177/0013164416636655. Epub 2016 Mar 18.

DOI:10.1177/0013164416636655
PMID:29795902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5965522/
Abstract

Even though there is an increasing interest in response styles, the field lacks a systematic investigation of the bias that response styles potentially cause. Therefore, a simulation was carried out to study this phenomenon with a focus on applied settings (reliability, validity, scale scores). The influence of acquiescence and extreme response style was investigated, and independent variables were, for example, the number of reverse-keyed items. Data were generated from a multidimensional item response model. The results indicated that response styles may bias findings based on self-report data and that this bias may be substantial if the attribute of interest is correlated with response style. However, in the absence of such correlations, bias was generally very small, especially for extreme response style and if acquiescence was controlled for by reverse-keyed items. An empirical example was used to illustrate and validate the simulations. In summary, it is concluded that the threat of response styles may be smaller than feared.

摘要

尽管对反应风格的兴趣日益增加,但该领域缺乏对反应风格可能造成的偏差进行系统的调查。因此,进行了一项模拟研究以关注应用场景(信度、效度、量表分数)来研究这一现象。研究了默许和极端反应风格的影响,例如,反向计分项目的数量是自变量。数据由多维项目反应模型生成。结果表明,反应风格可能会使基于自我报告数据的研究结果产生偏差,而且如果感兴趣的属性与反应风格相关,这种偏差可能会很大。然而,在不存在这种相关性的情况下,偏差通常非常小,特别是对于极端反应风格,以及当通过反向计分项目控制默许时。通过一个实证例子来说明和验证模拟结果。总之,得出的结论是,反应风格带来的威胁可能比人们担心的要小。