Evaluating Response Shift in Statistical Mediation Analysis.
Evaluating Response Shift in Statistical Mediation Analysis.
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DOI：
10.1177/25152459211012271
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发表时间：
2021-04
影响因子：
13.6
通讯作者：
Gonzalez, Oscar
中科院分区：
文献类型：
--
作者：
Georgeson, A. R.;Valente, Matthew J.;Gonzalez, Oscar
关键词：
研究人员和预防科学家经常开发针对被认为与结果相关的中间变量（称为介质）的干预措施。当研究人员针对通过自我报告测量的中介结构时，对于接受干预的个人来说，自我报告测量的意义可能会从前测变化到后测--这是一种被称为反应转变的现象。因此，任何观察到的跨组或跨时间的中介测量变化可能反映了结构和响应变化的真实变化的组合。虽然以前的研究都集中在确定干预后的措施的反应转变的来源和类型，一直是有限的研究如何使用总分在反应转变的存在影响估计介导的影响，通过统计中介分析，这是至关重要的解释如何干预工作。在本文中，我们专注于重新校准的反应转移，这是一个内部标准的测量，这会影响受访者如何解释的反应规模的变化。我们提供了关于响应偏移理论和用于检测响应偏移的方法的背景（即，测量不变性测试）。此外，我们使用模拟数据集来说明中介中的重新校准如何使中介效应的估计产生偏差，并影响I型错误和功效。
Researchers and prevention scientists often develop interventions to target intermediate variables (known as mediators) that are thought to be related to an outcome. When researchers target a mediating construct measured by self-report, the meaning of self-report measure could change from pretest to posttest for the individuals who received the intervention – which is a phenomenon referred to as response shift. As a result, any observed changes on the mediator measure across groups or across time might reflect a combination of true change on the construct and response shift. Although previous studies have focused on identifying the source and type of response shift in measures after an intervention, there has been limited research on how using sum scores in the presence of response shift affects the estimation of mediated effects via statistical mediation analysis, which is critical for explaining how the intervention worked. In this paper, we focus on recalibration response shift, which is a change in internal standards of measurement, which affects how respondents interpret the response scale. We provide background on the theory of response shift and the methodology used to detect response shift (i.e., tests of measurement invariance). Additionally, we use simulated datasets to provide an illustration of how recalibration in the mediator can bias estimates of the mediated effect and also impact type I error and power.
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