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Using Psychometric Network Analysis to Examine the Components of Spoken Word Recognition

机译:使用心理测量网络分析来检查口语识别的组成部分

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摘要

Using language requires access to domain-specific linguistic representations, but also draws on domain-general cognitive skills. A key issue in current psycholinguistics is to situate linguistic processing in the network of human cognitive abilities. Here, we focused on spoken word recognition and used an individual differences approach to examine the links of scores in word recognition tasks with scores on tasks capturing effects of linguistic experience, general processing speed, working memory, and non-verbal reasoning. 281 young native speakers of Dutch completed an extensive test battery assessing these cognitive skills. We used psychometric network analysis to map out the direct links between the scores, that is, the unique variance between pairs of scores, controlling for variance shared with the other scores. The analysis revealed direct links between word recognition skills and processing speed. We discuss the implications of these results and the potential of psychometric network analysis for studying language processing and its embedding in the broader cognitive system.
机译:使用语言需要访问特定于领域的语言表示,但也需要利用领域通用的认知技能。当前心理语言学的一个关键问题是将语言处理置于人类认知能力的网络中。在这里,我们专注于口语识别,并使用个体差异方法来检查单词识别任务中的分数与捕捉语言经验、一般处理速度、工作记忆和非语言推理效果的任务分数的联系。281 名年轻的荷兰语母语人士完成了一项广泛的测试组合,以评估这些认知技能。我们使用心理测量网络分析来绘制分数之间的直接联系,即分数对之间的独特方差,控制与其他分数共享的方差。分析揭示了单词识别技能和处理速度之间的直接联系。我们讨论了这些结果的意义以及心理测量网络分析在研究语言处理及其在更广泛的认知系统中的嵌入的潜力。

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