Elsevier

Intelligence

Volume 48, January–February 2015, Pages 30-36
Intelligence

Socioeconomic status and the growth of intelligence from infancy through adolescence

https://doi.org/10.1016/j.intell.2014.10.002Get rights and content
Under a Creative Commons license
open access

Highlights

  • IQ growth trajectories were modeled in British children from age 2 to 16 years.

  • Children's socioeconomic background (SES) was associated with IQ growth.

  • High and low SES children differed by 6 IQ points at age 2.

  • By age 16, this IQ difference between high and low SES children had tripled.

Abstract

Low socioeconomic status (SES) children perform on average worse on intelligence tests than children from higher SES backgrounds, but the developmental relationship between intelligence and SES has not been adequately investigated. Here, we use latent growth curve (LGC) models to assess associations between SES and individual differences in the intelligence starting point (intercept) and in the rate and direction of change in scores (slope and quadratic term) from infancy through adolescence in 14,853 children from the Twins Early Development Study (TEDS), assessed 9 times on IQ between the ages of 2 and 16 years. SES was significantly associated with intelligence growth factors: higher SES was related both to a higher starting point in infancy and to greater gains in intelligence over time. Specifically, children from low SES families scored on average 6 IQ points lower at age 2 than children from high SES backgrounds; by age 16, this difference had almost tripled. Although these key results did not vary across girls and boys, we observed gender differences in the development of intelligence in early childhood. Overall, SES was shown to be associated with individual differences in intercepts as well as slopes of intelligence. However, this finding does not warrant causal interpretations of the relationship between SES and the development of intelligence.

Keywords

Intelligence
IQ
Socioeconomic status
Latent growth
Gender

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