The ability to recognise others’ emotions from nonverbal cues is correlated with intelligence types (crystallized, fluid, spatial, memory, information processing speed & efficiency); academic achievement measures were unrelated

A meta-analysis of the relationship between emotion recognition ability and intelligence. Katja Schlegel, Tristan Palese, Marianne Schmid Mast, Thomas H. Rammsayer ORCID Icon, Judith A. Hall & Nora A. Murphy. Cognition and Emotion, Jun 21 2019, https://doi.org/10.1080/02699931.2019.1632801

ABSTRACT: The ability to recognise others’ emotions from nonverbal cues (emotion recognition ability, ERA) is measured with performance-based tests and has many positive correlates. Although researchers have long proposed that ERA is related to general mental ability or intelligence, a comprehensive analysis of this relationship is lacking. For instance, it remains unknown whether the magnitude of the association varies by intelligence type, ERA test features, as well as demographic variables. The present meta-analysis examined the relationship between ERA and intelligence based on 471 effect sizes from 133 samples and found a significant mean effect size (controlled for nesting within samples) of r = .19. Different intelligence types (crystallized, fluid, spatial, memory, information processing speed and efficiency) yielded similar effect sizes, whereas academic achievement measures (e.g. SAT scores) were unrelated to ERA. Effect sizes were higher for ERA tests that simultaneously present facial, vocal, and bodily cues (as compared to tests using static pictures) and for tests with higher reliability and more emotions. Results were unaffected by most study and sample characteristics, but effect size increased with higher mean age of the sample. These findings establish ERA as sensory-cognitive ability that is distinct from, yet related to, intelligence.

KEYWORDS: Emotion recognition ability, intelligence, meta-analysis, emotional intelligence, interpersonal accuracy