The moderating effect of personality on the accuracy of self-estimates of intelligence

Mirror, Mirror on the Wall: A Meta-Analysis on the Validity of Self-Assessed Intelligence through the Lens of the Multiverse

Examining the relationship between self-assessed intelligence (SAI) and psychometric intelligence (IQ) is essential for understanding how people's self-evaluations reflect their actual intelligence. Various factors, such as SAI measurement methods, participant characteristics, and testing conditions have been hypothesized to moderate the SAI-IQ link, yet the generality of this association remains unclear. Here, we provide evidence for SAI and IQ associations based on 278 effect sizes from 115 independent samples (N = 36,833) using a multi-level meta-analysis, revealing a moderate positive correlation (r = 0.30; 95% CI [0.27, 0.33]). Multiverse analyses demonstrated remarkable stability of this effect, with most summary effect specifications yielding significant positive correlations (96%), averaging r = 0.32. Notably, ability domain and sample type emerged as significant moderators, with numerical ability showing stronger correlations compared to general cognitive, verbal, and spatial abilities. Importantly, our study found that correlations in student samples were significantly higher than those in general samples. Our findings show a moderate positive association of SAI with IQ, unaffected by participant sex, publication year, administration order, neuroticism, and self-assessment method, yet significantly moderated by ability domain and sample type. Our results illustrate the importance of feedback in educational settings to help students accurately assess their cognitive abilities.

One Social Media Company to Rule Them All: Associations Between Use of Facebook-Owned Social Media Platforms, Sociodemographic Characteristics, and the Big Five Personality Traits

Currently, 2.7 billion people use at least one of the Facebook-owned social media platforms - Facebook, WhatsApp, and Instagram. Previous research investigating individual differences between users and non-users of these platforms has typically focused on one platform. However, individuals typically use a combination of Facebook-owned platforms. Therefore, we aim (1) to identify the relative prevalence of different patterns of social media use, and (2) to evaluate potential between-group differences in the distributions of age, gender, education, and Big Five personality traits. Data collection was performed using a cross-sectional design. Specifically, we administered a survey assessing participants' demographic variables, current use of Facebook-owned platforms, and Big Five personality traits. In N = 3003 participants from the general population (60.67% females; mean age = 35.53 years, SD = 13.53), WhatsApp emerged as the most widely used application in the sample, and hence, has the strongest reach. A pattern consisting of a combined use of WhatsApp and Instagram appeared to be most prevalent among the youngest participants. Further, individuals using at least one social media platform were generally younger, more often female, and more extraverted than non-users. Small differences in Conscientiousness and Neuroticism also emerged across groups reporting different combinations of social media use. Interestingly, when examined as control variables, we found demographic characteristics partially accounted for differences in broad personality factors and facets across different patterns of social media use. Our findings are relevant to researchers carrying out their studies via social media platforms, as sample characteristics appear to be different depending on the platform used.

The Reliability and Validity of a Self-Report Measure of Cognitive Abilities in Older Adults: More Personality than Cognitive Function

The development of brief, reliable and valid self-report measures of cognitive abilities would facilitate research in areas including cognitive ageing. This is due to both practical and economic limitations of formal cognitive testing procedures. This study examined the reliability and validity of the newly developed Self-Report Measure of Cognitive Abilities (SRMCA; Jacobs & Roodenburg, 2014); a multi-item self-report tool designed to assess cognitive function in the ability areas of fluid reasoning (Gf), comprehension-knowledge (Gc) and visual processing (Gv). Participants were (n = 93) cognitively healthy older adults aged between 52 and 82 years who completed the SRMCA, the Big Five Inventory and a battery of cognitive tasks. Results revealed adequate reliability for the SRMCA and convergent validity for the Gc domain but not for Gf or Gv. Moreover, significant personality bias was evident with Extraversion (positively), Openness to Experience (positively) and Neuroticism (negatively) predicting SRMCA responses independently of actual cognitive performance. Thus, although the SRMCA appears to be reliable in older adults, personality was a stronger predictor of self-estimated cognitive abilities than actual cognitive performance, questioning the utility of this tool as a subjective measure of cognitive ability.