The aim of the present study was to investigate to what extent personality, gender, and age can predict psychometric intelligence scores. A total of 900 participants completed the Watson–Glaser Critical Thinking Appraisal Test, the Graduate Managerial Assessment: Abstract, the Revised NEO Personality Inventory, and the Myers–Briggs Type Indicator. Intelligence was found to be most consistently predicted by high Openness and low Neuroticism, which has been repeatedly reported in the past (Ackerman & Heggestad, 1997; Kyllonen, 1997), as well as by low Extraversion and low Conscientiousness, which has also been previously reported (Furnham, Chamorro‐Premuzic, & Moutafi, under review). Of the demographic factors, there were no gender differences with respect to general intelligence (g), but age was found to be a significant negative predictor of g, in line with previous findings (Matthews, Davies, Westerman, & Stammers, 2000). Copyright © 2002 John Wiley & Sons, Ltd.

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This paper reports on two studies that investigated the relationship between the Big Five personality traits, self-estimates of intelligence (SEI), and scores on two psychometrically validated intelligence tests. In study 1 a total of 100 participants completed the NEO-PI-R, the Wonderlic Personnel Test and the Baddeley Reasoning Test, and estimated their own intelligence on a normal distribution curve. Multiple regression showed that psychometric intelligence was predicted by Conscientiousness and SEI, while SEI was predicted by gender, Neuroticism (notably anxiety) and Agreeableness (notably modesty). Personality was a better predictor of SEI than of psychometric intelligence itself. Study 2 attempted to explore the relationship between SEI and psychometric intelligence. A total of 130 participants completed the NEO-PI-R, the Baddeley Reasoning Test, and the S & M Spatial intelligence test. In addition, SEI and participants conceptions of intelligence were also examined. In combination with gender and previous IQ test experience, these variables were found to predict about 11% of the variance in SEI. SEI was the only significant predictor of psychometrically measured intelligence. Inconsistencies between results of the two studies, theoretical and applied implications, and limitations of this work are discussed.

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