Suppr超能文献

广泛检索能力个体差异的驱动因素:整体大于部分之和。

Driving factors of individual differences in broad retrieval ability: Gr is more than the sum of its parts.

作者信息

Goecke Benjamin, Weiss Selina, Wilhelm Oliver

机构信息

Institute for Psychology and Pedagogy, Ulm University.

出版信息

J Exp Psychol Learn Mem Cogn. 2025 Feb;51(2):301-319. doi: 10.1037/xlm0001336. Epub 2024 Feb 26.

Abstract

Broad retrieval ability (Gr) posits an essential factor of human cognitive abilities. Previous literature indicates Gr is best modeled as a higher-order factor model with lower-level factors such as ideational fluency (IF), word fluency (WF), expressional fluency (EF), or figural fluency (FF). However, the dimensionality of Gr is not well studied. Furthermore, it remains unclear whether specific retrieval affordances such as differing retrieval time periods (e.g., short vs. long) can be psychometrically separated from more general retrieval affordances. Such a distinction would imply differential associations between specific retrieval, general retrieval, and other cognitive abilities, which, in turn, depict a vital part of explanatory models of individual differences in Gr. To test these assumptions, we conducted a multivariate study ( = 331) and evaluated competing latent variable measurement models for a variety of Gr tests. We then regressed the best measurement model onto working memory capacity, secondary memory, mental speed, and crystallized intelligence in order to evaluate the distinctiveness of Gr. Our results suggest that no specific retrieval affordances with regard to time periods can be distinguished. A higher-order model, with a second-order Gr factor above three first-order factors (IF, WF, EF, and FF) fitted the data best, extending previous literature by increasing construct coverage through the implementation of FF. All covariates show incremental predictive validity, beyond their communality. Summarizing, our results endorse a perspective on Gr as a strong and discriminant factor of cognitive abilities that is not affected by time constraints, and show that Gr is more than a linear combination of its parts. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

摘要

广泛检索能力(Gr)被认为是人类认知能力的一个重要因素。以往文献表明,Gr最好被建模为一个高阶因素模型,包含诸如观念流畅性(IF)、词语流畅性(WF)、表达流畅性(EF)或图形流畅性(FF)等低阶因素。然而,Gr的维度尚未得到充分研究。此外,特定的检索条件,如不同的检索时间段(例如,短时间与长时间)是否能从更一般的检索条件中通过心理测量学方法分离出来,仍不清楚。这种区分意味着特定检索、一般检索与其他认知能力之间存在不同的关联,这反过来又描绘了Gr个体差异解释模型的一个重要部分。为了检验这些假设,我们进行了一项多变量研究(N = 331),并评估了各种Gr测试的竞争潜在变量测量模型。然后,我们将最佳测量模型回归到工作记忆容量、次级记忆、心理速度和晶体智力上,以评估Gr的独特性。我们的结果表明,无法区分与时间段相关的特定检索条件。一个高阶模型,即一个二阶Gr因素位于三个一阶因素(IF、WF、EF和FF)之上,最能拟合数据,通过纳入FF增加了结构覆盖范围,从而扩展了以往的文献。所有协变量在其共同性之外都显示出增量预测效度。总之,我们的结果支持将Gr视为一种不受时间限制影响的强大且有区分度的认知能力因素的观点,并表明Gr不仅仅是其各部分的线性组合。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验