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A task is a task is a task: putting complex span, n-back, and other working memory indicators in psychometric context

机译:任务就是任务就是任务:将复杂的跨度,正向和其他工作记忆指标置于心理测量环境中

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Based on a meta-analysis, Redick and Lindsey (2013) found that complex span and n-back tasks show an average correlation of r = 0.20, and concluded that “complex span and n-back tasks cannot be used interchangeably as working memory measures in research applications” (p. 1102). Here, we comment on this conclusion from a psychometric perspective. In addition to construct variance, performance on a test contains measurement error, task-specific variance, and paradigm-specific variance. Hence, low correlations among dissimilar indicators do not provide strong evidence for the existence, or absence, of a construct common to both indicators. One way to arrive at such evidence is to fit hierarchical latent factors that model task-specific, paradigm-specific, and construct variance. We report analyses for 101 younger and 103 older adults who worked on nine different working memory tasks. The data are consistent with a hierarchical model of working memory, according to which both complex span and n-back tasks are valid indicators of working memory. The working memory factor predicts 71% of the variance in a factor of reasoning among younger adults (83% for among older adults). When the working memory factor was restricted to any possible triplet of working memory tasks, the correlation between working memory and reasoning was inversely related to the average magnitude of the correlations among the indicators, indicating that more highly intercorrelated indicators may provide poorer coverage of the construct space. We stress the need to go beyond specific tasks and paradigms when studying higher-order cognitive constructs, such as working memory.
机译:Redick和Lindsey(2013)根据荟萃分析发现,复杂的跨度和n-后退任务的平均相关系数为r = 0.20,并得出结论:“复杂的跨度和n-后退任务不能互换地用作工作记忆量度在研究应用中”(第1102页)。在这里,我们从心理学的角度对这一结论进行评论。除了构造差异外,测试的性能还包括测量误差,特定于任务的差异和特定于范例的差异。因此,不同指标之间的低相关性不能为两个指标共有的结构的存在或缺乏提供有力的证据。获得此类证据的一种方法是,对建模特定任务,特定范式和构造方差的分层潜在因子进行拟合。我们报告了101位年龄较小的成年人和103位年龄较大的成年人的分析结果,这些人从事9种不同的工作记忆任务。数据与工作内存的分层模型一致,根据该模型,复杂的跨度和n向后任务都是工作内存的有效指标。工作记忆因子预测在年轻人中推理的方差中有71%(在成年人中为83%)。当工作记忆因子被限制在任何可能的工作记忆三元组中时,工作记忆与推理之间的相关性与指标之间相关性的平均大小呈反比关系,这表明相关性越高的指标可能提供的结构覆盖范围越差空间。我们强调在研究高阶认知构造(例如工作记忆)时,需要超越特定的任务和范式。

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