On the Utility of Integrated Speed-Accuracy Measures when Speed-Accuracy Trade-off is Present.
On the Utility of Integrated Speed-Accuracy Measures when Speed-Accuracy Trade-off is Present.
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DOI：
10.5334/joc.154
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发表时间：
2021-03-18
影响因子：
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通讯作者：
Vandierendonck A
中科院分区：
文献类型：
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作者：
Vandierendonck A
为了简化数据分析并避免由于速度-准确性权衡而引起的混淆，有时使用速度和准确性的综合措施。虽然有人声称，这些综合措施中的一些是不敏感的速度-精度权衡（SAT），系统和广泛的审查，这种说法还没有进行到目前为止。本文报告了四个模拟研究的结果，其中五个建立的综合措施进行了研究，在不同的速度精度权衡的上下文中。所有四项研究都使用了重复测量设计，将实验因子（感兴趣的变量）与代表SAT设置的因子交叉，所有条件在试验序列中随机发生，以避免条件方面的SAT（混合条件重复测量设计）。第一项研究使用了速度调制，通过相反方向的准确性变化来平衡。其他研究均基于SAT，其通过漂移扩散模型建模，具有主动权衡设置（研究2）或具有反应性权衡调制（研究3）或通过不连续两相模型（研究4）。只有基于平衡权衡的研究表明，两个措施是不敏感的SAT设置，而在所有其他情况下，所有措施都敏感的SAT。然而，由于混合条件设计将SAT效应分布在感兴趣变量的条件上，因此所有综合措施都可靠地检测到该变量在所有SAT条件下的效应。虽然综合措施是敏感的SAT，这些影响可以通过使用混合条件重复措施设计中和。
In an attempt to simplify data analysis and to avoid confounds due to speed-accuracy trade-off, sometimes integrated measures of speed and accuracy are used. Although it has been claimed that some of these combined measures are insensitive to speed-accuracy trade-off (SAT), a systematic and broad examination of such claims has not been performed thus far. The present article reports the results of four simulation studies in which five established integrated measures were studied in different speed-accuracy trade-off contexts. All four studies used repeated measures designs crossing an experimental factor (variable of interest) with a factor representing SAT settings, with all conditions occurring randomly over the sequence of trials to avoid condition-wise SATs (mixed conditions repeated measures design). The first study used speed modulations that were balanced by accuracy changes in the opposite direction. The other studies were all based on SAT as modeled either by the drift-diffusion model, with pro-active trade-off settings (Study 2) or with reactive trade-off modulations (Study 3) or by a discontinuous two-phase model (Study 4). Only the studies based on balanced trade-offs showed that two of the measures were insensitive to SAT settings, while in all other contexts, all measures were sensitive to SAT. Nevertheless, as the mixed conditions design distributes the SAT effects over the conditions of the variable of interest, all integrated measures reliably detected the effect of this variable in all SAT conditions. Although integrated measures are sensitive to SAT, these effects can be neutralised by using a mixed conditions repeated measures design.