This paper presents a series of psychometric meta-analysis on the relationship between cognitive reflection (CR) and several cognitive abilities (i.e., cognitive intelligence, numerical ability, verbal ability, mechanical-spatial ability, and working memory), and skills (i.e., numeracy skills). Also, the paper presents a bifactor analysis carried out to determine whether CR is a related but independent factor or a second-stratum factor in a hierarchical model of cognitive intelligence. Finally, the study also tested a path meta-analytic model of the CR-cognitive ability relationships. The results showed that CR correlated substantially with all the cognitive abilities and skills (K ranged from 3 to 44 and N ranged from 624 to 20,307). The bifactor analysis showed that CR variance was mainly accounted for by a general factor of cognitive intelligence plus a second-stratum factor of numerical ability. The results of the bifactor analysis were similar for numerical-CRT and verbal-CRT. It was not found evidence supporting the existence of a cognitive reflection factor. Finally, the path meta-analytic model showed that the combination of cognitive intelligence and numerical ability accounted for 69% of CR variance. The path model showed that cognitive intelligence and numerical ability have direct and indirect (through numeracy skills) effects on CR. Theoretical and practical implications are discussed, and future research is suggested.

本文提出了一系列关于认知反射 (CR) 与几种认知能力（即认知智力、数字能力、语言能力、机械空间能力和工作记忆）和技能（即，算术能力）。此外，本文还提出了一项双因素分析，以确定 CR 是认知智能分层模型中的相关但独立的因素还是第二层因素。最后，该研究还测试了 CR 认知能力关系的路径元分析模型。结果表明，CR 与所有认知能力和技能显着相关（K范围从 3 到 44，N范围从 624 到 20,307）。双因素分析表明，CR方差主要由认知智力的一般因素加上数值能力的第二层因素来解释。数值型 CRT 和语言型 CRT 的双因素分析结果相似。没有找到支持认知反射因素存在的证据。最后，路径元分析模型表明，认知智能和数字能力的结合占了 CR 方差的 69%。路径模型表明认知智能和数字能力对 CR 有直接和间接的（通过计算技能）影响。讨论了理论和实践意义，并建议了未来的研究。