Independent Samples T-test and ANCOVA.

Literature suggests multiple relationships between creativity and intelligence, each supported and contradicted by empirical evidence. The current study investigated cultural variations in the relationship between divergent thinking (DT) and fluid intelligence (Gf). Study participants were students from the most reputable universities in Russia (N = 53) and the United Arab Emirates (UAE; N = 53). The DT test measured their creative potential, the Abbreviated Torrance Test for Adults (ATTA), from which five indicators were extracted for further analyses: composite Creativity Index (CI), fluency, originality, elaboration, and flexibility. The Culture Fair Intelligence Test (CFIT) assessed participants’ Gf. We found a significant negative relationship between Gf score and CI, fluency, elaboration, and flexibility. The results suggest a non-linear trend, which was addressed accordingly. Adding a cultural component into the model explained substantial variance in DT and Gf scores. The Russian sample outperformed the UAE sample on all DT components, while the UAE sample outperformed the Russian sample on the Gf. Samples were different, predominantly on the fluency component, and were more similar in originality. Overall, results suggest the complex interplay between DT and Gf in cross-cultural settings.现有文献表明，创造力与智力之间存在多种关联，各类实证研究对这些关联的支持与驳斥均有依据。本研究探讨了发散思维（divergent thinking, DT）与流体智力（fluid intelligence, Gf）之间关联的文化差异。本研究的参与者为来自俄罗斯（N=53）与阿拉伯联合酋长国（United Arab Emirates, UAE；N=53）顶尖高校的学生。研究采用成人版简化托兰斯创造性思维测验（Abbreviated Torrance Test for Adults, ATTA）测量参与者的创造性潜能，从中提取五项指标用于后续分析：综合创造性指数（composite Creativity Index, CI）、流畅性、独创性、精细化程度与灵活性。研究采用文化公平智力测验（Culture Fair Intelligence Test, CFIT）评估参与者的流体智力（Gf）。本研究发现，流体智力得分与综合创造性指数、流畅性、精细化程度及灵活性之间存在显著负相关。结果呈现非线性趋势，本研究对此进行了相应处理。在模型中加入文化维度后，可解释发散思维与流体智力得分的大量变异。俄罗斯样本在所有发散思维维度上的表现均优于阿联酋样本，而阿联酋样本在流体智力测试中的表现优于俄罗斯样本。两组样本的差异主要体现在流畅性维度，在独创性维度上则较为相似。总体而言，研究结果表明，在跨文化背景下，发散思维与流体智力之间存在复杂的相互作用。