在拼图中添加一块? 图形语言理解的分配在认知能力的CHC模型中
Andra Biesok1, Matthias Ziegler1, Christiane Montag2
1Psychology Department, Faculty of Life Science, Humboldt-Universität zu Berlin, 10117 Berlin, Germany.
Journal of Intelligence
|March 27, 2024
概括
图形语言理解 (FLC) 在Cattell-Horn-Carroll模型中被支持为一个独特的认知因素. 它与开放方面的关系为认知能力和人格相互作用提供了新的见解.
科学领域:
- 认知心理学 认知心理学
- 心理测量 心理测量 心理测量
- 个人差异 个人差异
背景情况:
- 卡特尔-霍恩-卡罗尔 (CHC) 模型是理解认知能力的一个突出的框架.
- 图形语言理解 (FLC) 在这个模型中没有明确定义.
- 需要新的心理测量仪器来研究FLC在认知架构中的地位.
研究的目的:
- 调查新的FLC测量的心理特征.
- 为了确定FLC在CHC模型中的分配.
- 探索FLC,一般认知能力和个性特征之间的关系.
主要方法:
- 开发和验证反向抛言测试 (RPT),字面抛言测试 (LPT) 和语测试 (PT).
- 在909名参与者的数据上进行确认因素分析,以评估测量模型.
- 检查名学网络,包括与一般能力和开放方面的相关性.
主要成果:
- RPT和LPT展示了一个单维的FLC构造;PT被排除在外.
- 一个双因素S-1模型最适合数据,表示一般的FLC因子和方法因子.
- FLC与智力好奇心和美学敏感性 (开放性方面) 有显著的相关性,与其与一般能力的关系相当.
结论:
- 在CHC模型中,FLC可以被认为是一个独特的认知因素,受一般能力因素的影响.
- 这些发现突出了认知能力和个性之间的相互作用,特别是开放性.
- 建议进行进一步的研究,以加深对FLC-个性关系的理解.
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