Predictors of the IQ-achievement gap in France: A longitudinal analysis

Ava Guez, Thelma Panaïotis, Hugo Peyre and Franck Ramus

Intelligence, 2018, vol. 69, issue C, 104-116

Abstract: Why do some children under-perform at school relative to their level of cognitive abilities? So far, previous studies on the topic have been conducted on cross-sectional data or have focused on a limited range of predictors. In this large longitudinal study on 23,258 French middle school students, we examined the relative effects of a wide range of contextual and individual factors on academic performance beyond the effect of non-verbal IQ. Data were analyzed using a structural equation modeling approach, cross-sectionally and longitudinally. Cross-sectional models revealed that self-efficacy, school environment, parental education and sex were the most predictive factors of achievement independently from non-verbal IQ (the latter being by far the best predictor). A longitudinal analysis showed that school environment and parental education also significantly affected progression between grade 6 (11–12 years old) and grade 9 (14–15 years old), while non-verbal IQ and other factors played a minor role.

Keywords: Academic achievement; Intelligence; Socio-economic environment; Self-efficacy; Sex; Longitudinal study (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160289618300515
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intell:v:69:y:2018:i:c:p:104-116

DOI: 10.1016/j.intell.2018.05.008

Access Statistics for this article

Intelligence is currently edited by R.J. Haier

More articles in Intelligence from Elsevier
Bibliographic data for series maintained by Catherine Liu ().