Five measured school sociodemographic characteristics do not explain the EA-PGI-by-school interaction¶

Claim · All claims
Evidence · 1 study · associational r3 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? School average parental education, average parental income, proportion of nonwestern immigrants, and Gini indices of parental income and education inequality did not attenuate slope variance or improve model fit when added with PGI interactions. → Rosa Cheesman 2022

Evidence¶

Rosa Cheesman 2022¶

Rosa Cheesman, Nicolai T. Borgen, Torkild H. Lyngstad, Espen M. Eilertsen, Ziada Ayorech, Fartein A. Torvik, Ole A. Andreassen, Henrik D. Zachrisson and Eivind Ystrom. (2022). A population-wide gene-environment interaction study on how genes, schools, and residential areas shape achievement. npj Science of Learning 7:29. https://doi.org/10.1038/s41539-022-00145-8

q3 · i? · associational · r3

Null result from Models 4–5 in which five school-level sociodemographic covariates were tested simultaneously; "the variance in slopes was not attenuated" and covariate-PGI interactions did not improve fit, so the latent interaction remains unexplained.

"None of these measures of school sociodemographics can explain why genetic effects differ in strength between schools: the variance in slopes was not attenuated by including the covariates, and covariate-PGI interactions did not improve model fit."

Discussion¶

Related Claims¶

• Students' EA-PGI interacts with schools such that school differences in achievement are wider among students with lower EA-PGI (compensation, not Scarr-Rowe suppression) — related
• Neighbourhood, district, and municipality variation contributes little to achievement (under 2% of variance collectively) and does not interact with student EA-PGI — related
• Between-school variation in EA-PGI effects is substantial: the average EA-PGI effect is 0.22 with slope SD 0.034, and variance explained by EA-PGI ranges from ~2% in the weakest-effect schools to ~8% in the strongest — related
• The EA-PGI-by-school interaction is stronger for maths and reading than for English — related