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On the nature of crystallized intelligence: the relationship between verbal ability and factual knowledge

机译:关于结晶智力的本质:言语能力与事实知识之间的关系

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While crystallized intelligence (gc) is recognized inmany contemporary intelligence frameworks, there is no consensus as to the nature and contents of the construct. Originally conceptualized as capturing acquired skills and declarative knowledge in different content domains, more recent definitions and typical indicators focus on verbal ability. We investigated the relationship between verbal ability and declarative knowledge under consideration of individual differences in fluid intelligence in a large-scale assessment study with 6,701 adolescents. Structural equation modeling was used to examine the factorial distinctness of verbal ability and declarative knowledge with three analytical strategies: (i) Estimating correlations between latent variables, (ii) estimating the amount of unique variance in each factor after accounting for differences in the other ability constructs, and (iii) investigating associations with covariates including school achievement, students' characteristics, and psychological traits. The correlation between latent variables representing verbal ability, measured with items from six language domains, and knowledge in 16 content domainswas very high (ρ =.91), but significantly different fromunity. About 17% of the variance in the knowledge factor was independent of individual differences in verbal ability and fluid intelligence. Associations with covariates revealed unique correlational patterns for each ability construct. The findings suggest that verbal ability and knowledge are closely related, but empirically distinguishable facets of crystallized intelligence. The discussion focuses on the construct validity of verbal tests for the measurement of gc and the interpretation of the common factor of a broad knowledge assessment as a causal variable.
机译:尽管结晶智能(gc)在许多当代智能框架中都得到认可,但对于该结构的性质和内容尚无共识。最初的概念是捕获不同内容领域中获得的技能和陈述性知识,而最近的定义和典型指标则侧重于语言能力。在一项针对6,701名青少年的大规模评估研究中,我们考虑了流体智力的个体差异,调查了言语能力与陈述性知识之间的关系。结构方程模型用于通过三种分析策略来检查言语能力和陈述性知识的阶乘差异性:(i)估计潜在变量之间的相关性;(ii)在考虑其他能力的差异之后,估算每个因子的唯一方差量构造和(iii)研究包括学校成绩,学生特征和心理特征在内的协变量的关联。用来自六个语言域的项目测得的代表语言能力的潜在变量与16个内容域的知识之间的相关性非常高(ρ= .91),但与整体性存在显着差异。知识因素中约有17%的差异与语言能力和流体智力的个体差异无关。与协变量的关联揭示了每种能力构建的独特关联模式。这些发现表明,语言能力和知识是紧密相关的,但从经验上可以区分结晶智能。讨论的重点是针对口语测验的口语测验的构造效度,以及对作为因果变量的广泛知识评估的共同因素的解释。

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