Blott Lena M, Gowenlock Anna E, Kievit Rogier, Nation Kate, Rodd Jennifer M
Department of Experimental Psychology, University College London, UK.
Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands.
J Cogn. 2023 Sep 7;6(1):54. doi: 10.5334/joc.317. eCollection 2023.
Translating experimental tasks that were designed to investigate differences between conditions at the group-level into valid and reliable instruments to measure individual differences in cognitive skills is challenging (Hedge et al., 2018; Rouder et al., 2019; Rouder & Haaf, 2019). For psycholinguists, the additional complexities associated with selecting or constructing language stimuli, and the need for appropriate well-matched baseline conditions make this endeavour particularly complex. In a typical experiment, a process-of-interest (e.g. ambiguity resolution) is targeted by contrasting performance in an experimental condition with performance in a well-matched control condition. In many cases, careful between-condition matching precludes the same participant from encountering all stimulus items. Unfortunately, solutions that work for group-level research (e.g. constructing counterbalanced experiment versions) are inappropriate for individual-differences designs. As a case study, we report an ambiguity resolution experiment that illustrates the steps that researchers can take to address this issue and assess whether their measurement instrument is both valid and reliable. On the basis of our findings, we caution against the widespread approach of using datasets from group-level studies to also answer important questions about individual differences.
将旨在研究组间条件差异的实验任务转化为有效且可靠的工具,以测量认知技能的个体差异,这颇具挑战性(赫奇等人,2018年;劳德等人,2019年;劳德和哈夫,2019年)。对于心理语言学家而言,选择或构建语言刺激所带来的额外复杂性,以及对适当匹配的基线条件的需求,使得这项工作尤为复杂。在典型的实验中,通过对比实验条件下的表现与匹配良好的对照条件下的表现,来针对一个感兴趣的过程(例如歧义消解)。在许多情况下,条件之间的仔细匹配使得同一参与者无法接触到所有刺激项目。不幸的是,适用于组间研究的解决方案(例如构建平衡的实验版本)并不适用于个体差异设计。作为一个案例研究,我们报告了一项歧义消解实验,该实验说明了研究人员可以采取哪些步骤来解决这个问题,并评估他们的测量工具是否有效且可靠。基于我们的研究结果,我们告诫不要广泛采用利用组间研究数据集来回答有关个体差异的重要问题的方法。