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On the Trail of Creativity: Dimensionality of Divergent Thinking and Its Relation With Cognitive Abilities, Personality, and Insight
European Journal of Personality ( IF 7.000 ) Pub Date : 2020-08-18 , DOI: 10.1002/per.2288
S. Weiss 1 , D. Steger 1 , Y. Kaur 2 , A. Hildebrandt 2 , U. Schroeders 3 , O. Wilhelm 1
Affiliation  

Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N = 152 and N = 298), we evaluate competing measurement models for a variety of DT tests and examine the relationship between DT and established cognitive abilities, personality traits, and insight. A nested factor model with a general DT and a nested originality factor described the data well. In Study 1, DT was moderately related with working memory, fluid intelligence, crystallized intelligence, and mental speed. In Study 2, we replicate these results and add insight, openness, extraversion, and honesty–humility as covariates. DT was associated with insight, extraversion, and honesty–humility, whereas crystallized intelligence mediated the relationship between openness and DT. In contrast, the nested originality factor (i.e. the specificity of originality tasks beyond other DT tasks) had low variance and was not meaningfully related with any other constructs in the nomological net. We highlight avenues for future research by discussing issues of measurement and scoring.

中文翻译:

在创新的道路上:发散思维的维度及其与认知能力,人格和洞察力的关系

发散性思维(DT)是创造力的重要组成部分,它体现了流畅性和独创性。文献缺乏多方面的研究来报告DT及其相关方面与相关协变量之间的关系,例如认知能力,人格特质(例如开放性)和洞察力。在两个多变量研究中(N  = 152和N = 298),我们评估了各种DT测试的竞争性测量模型,并检查了DT与已建立的认知能力,人格特质和洞察力之间的关系。具有通用DT和嵌套创意因子的嵌套因子模型很好地描述了数据。在研究1中,DT与工作记忆,体液智力,结晶智力和心理速度适度相关。在研究2中,我们复制了这些结果,并添加了洞察力,开放性,外向性和诚实与谦卑作为协变量。DT与洞察力,性格外向和诚实谦逊相关,而结晶的智能介导了开放性与DT之间的关系。相反,嵌套的原创性因子(即 (其他DT任务以外的独创性任务的特殊性)方差低,并且与法理网络中的任何其他构造都没有有意义的关联。通过讨论度量和评分问题,我们突出了未来研究的途径。
更新日期:2020-08-18
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