Optimizing working memory assessment: development of shortened versions of complex spans, updating, and binding tasks

优化工作记忆评估:开发复杂跨度、更新和绑定任务的简化版本

阅读:1

Abstract

Given the lengthy administration of most working memory (WM) tasks, some researchers have developed reduced versions of these tests. However, they have focused primarily on complex spans. Recent studies suggested that estimating working memory capacity (WMC) using multiple tasks from different paradigms enhances measurement accuracy by isolating WMC variation from task- and paradigm-specific influences. Considering this, we evaluated whether complex spans, updating, and binding tasks could be shortened while maintaining robust psychometric properties. Participants completed full-length versions of tests from these paradigms, which were then segmented into early, intermediate, and later trial blocks. The shortened WM tasks were based on the early trial blocks. They accounted for most of the variance in a set of factor scores derived from the full-length versions of the WM tests (R(2) = 0.90). Additionally, the shortened and full-length versions presented a similar ability to predict fluid intelligence (Gf). The shortened tasks reduced administration time by 35%, saving around 30 min. To help researchers select the most suitable combination of shortened and/or full-length tasks, we calculated the Gf and WMC variance predicted by every possible task combination and the respective administration time. We believe that the shortened WM tasks will be highly valuable to researchers, as they provide reliable and valid WMC estimates in a time-efficient manner. We also examined whether using tests from different paradigms provides better WMC estimates than employing collections of tasks from the same class. Our results confirmed this hypothesis, highlighting the importance of diverse task selection to accurately assess WMC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。