Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Department of Psychiatry, University of Michigan Health System, Ann Arbor, MI, USA.
J Clin Exp Neuropsychol. 2023 Sep;45(7):652-692. doi: 10.1080/13803395.2023.2270204. Epub 2023 Oct 22.
On some list-learning tasks, such as the California Verbal Learning Test (CVLT) or Hopkins Verbal Learning Test (HVLT), examinees have the opportunity to group words based on semantically related categories (i.e., semantic clustering). Semantic clustering (SC) is often considered the most efficient organizational strategy and adopting SC is presumed to improve learning and memory. In addition, SC is conceptualized as reflecting higher-order executive functioning skills. Although SC measures have intuitive appeal, to date, there are no comprehensive reviews of the SC literature base that summarize its psychometric utility. In this systematic review, we synthesize the literature to judge the validity of SC scores.
We conducted a systematic literature search for empirical articles reporting SC from the CVLT and HVLT. We qualitatively described the relationship of SC with other list-learning and cognitive test scores and clinical diagnoses, contrasting SC with serial clustering and total learning scores when possible.
SC was inversely correlated with serial clustering. Higher SC was strongly associated with better learning and memory performances. When compared with cognitive tests, SC tended to have the strongest relationships with other memory measures and modest relationships with tests of executive functioning. SC had negligible to small relationships with most other cognitive domains. Traditional memory scores yielded stronger relationships to cognitive test performances than did SC. SC across clinical groups varied widely, but clinical groups tended to use SC less often than healthy comparison groups.
Our comprehensive review of the literature revealed that SC is strongly related to measures of learning and memory on the CVLT and HVLT and is correlated with a wide range of cognitive functions. SC has been understudied in relevant populations and additional research is needed to test the degree to which it adds incremental validity beyond traditional measures of learning and memory.
在某些词汇学习任务中,例如加利福尼亚词汇学习测试(CVLT)或霍普金斯词汇学习测试(HVLT),受测者有机会根据语义相关类别对单词进行分组(即语义聚类)。语义聚类(SC)通常被认为是最有效的组织策略,采用 SC 被认为可以改善学习和记忆。此外,SC 被概念化为反映更高阶的执行功能技能。尽管 SC 测量具有直观的吸引力,但迄今为止,尚无关于 SC 文献基础的综合审查来总结其心理测量效用。在这项系统评价中,我们综合了文献来判断 SC 分数的有效性。
我们对报告 CVLT 和 HVLT 中 SC 的实证文章进行了系统的文献检索。我们定性地描述了 SC 与其他词汇学习和认知测试分数以及临床诊断之间的关系,当可能时,将 SC 与连续聚类和总学习分数进行对比。
SC 与连续聚类呈负相关。较高的 SC 与更好的学习和记忆表现密切相关。与认知测试相比,SC 与其他记忆测量的关系最强,与执行功能测试的关系适度。SC 与大多数其他认知领域的关系微不足道或较小。传统的记忆分数与认知测试表现的关系比 SC 更紧密。SC 在临床组之间差异很大,但临床组倾向于比健康对照组更少使用 SC。
我们对文献的综合回顾表明,SC 与 CVLT 和 HVLT 上的学习和记忆测量密切相关,并且与广泛的认知功能相关。SC 在相关人群中的研究不足,需要进一步研究以测试它在多大程度上超越传统的学习和记忆测量方法增加增量有效性。