Hohenstein Sven, Matuschek Hannes, Kliegl Reinhold
Department of Psychology, University of Potsdam, Karl-Liebknecht-Strasse 24-25, 14476, Potsdam, Germany.
Psychon Bull Rev. 2017 Jun;24(3):637-651. doi: 10.3758/s13423-016-1138-y.
The complexity of eye-movement control during reading allows measurement of many dependent variables, the most prominent ones being fixation durations and their locations in words. In current practice, either variable may serve as dependent variable or covariate for the other in linear mixed models (LMMs) featuring also psycholinguistic covariates of word recognition and sentence comprehension. Rather than analyzing fixation location and duration with separate LMMs, we propose linking the two according to their sequential dependency. Specifically, we include predicted fixation location (estimated in the first LMM from psycholinguistic covariates) and its associated residual fixation location as covariates in the second, fixation-duration LMM. This linked LMM affords a distinction between direct and indirect effects (mediated through fixation location) of psycholinguistic covariates on fixation durations. Results confirm the robustness of distributed processing in the perceptual span. They also offer a resolution of the paradox of the inverted optimal viewing position (IOVP) effect (i.e., longer fixation durations in the center than at the beginning and end of words) although the opposite (i.e., an OVP effect) is predicted from default assumptions of psycholinguistic processing efficiency: The IOVP effect in fixation durations is due to the residual fixation-location covariate, presumably driven primarily by saccadic error, and the OVP effect (at least the left part of it) is uncovered with the predicted fixation-location covariate, capturing the indirect effects of psycholinguistic covariates. We expect that linked LMMs will be useful for the analysis of other dynamically related multiple outcomes, a conundrum of most psychonomic research.
阅读过程中眼动控制的复杂性使得可以测量许多因变量,其中最突出的是注视持续时间及其在单词中的位置。在当前的实践中,在以单词识别和句子理解的心理语言学协变量为特征的线性混合模型(LMMs)中,这两个变量中的任何一个都可以作为另一个的因变量或协变量。我们建议根据它们的顺序依赖性将注视位置和持续时间联系起来,而不是用单独的LMMs来分析注视位置和持续时间。具体来说,我们将预测的注视位置(在第一个LMM中根据心理语言学协变量估计)及其相关的剩余注视位置作为协变量纳入第二个注视持续时间LMM中。这种关联的LMM能够区分心理语言学协变量对注视持续时间的直接和间接影响(通过注视位置介导)。结果证实了感知跨度中分布式处理的稳健性。它们还解决了倒置最佳观看位置(IOVP)效应的悖论(即单词中心的注视持续时间比开头和结尾更长),尽管从心理语言学处理效率的默认假设预测的是相反的情况(即最佳观看位置效应):注视持续时间中的IOVP效应是由于剩余注视位置协变量,大概主要由扫视误差驱动,而最佳观看位置效应(至少其左半部分)通过预测的注视位置协变量得以揭示,捕捉了心理语言学协变量的间接影响。我们期望关联的LMMs将有助于分析其他动态相关的多个结果,这是大多数心理物理学研究中的一个难题。