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. 2023 May 5;34(6):714–725. doi: 10.1177/09567976231160702

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© The Author(s) 2023

This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Fig. 3. — Standardized regression coefficients of intelligence polygenic score (IPS) fitting linear mixed models to performance on fluid and crystallized composites, each individual task from the NIH Toolbox Cognition Battery, additional measures from the Adolescent Brain Cognitive Development (ABCD) Study neurocognitive battery, and Bayes (latent) Factors 1 to 3 in the full sample. Prediction of the crystallized composite is significantly stronger than for the fluid composite (***p < .001). Tasks included in the fluid composite (shaded in blue) have consistently lower regression coefficients than those included in the crystallized composite (shaded in red). Additional measures from the neurocognitive battery exhibit associations with IPS more similar to the fluid composite than to the crystallized composite; however, Bayes Factor 1, on which the verbal tasks load heavily, exhibits an association similar to the crystallized composite. Error bars show estimates of 95% confidence intervals as 1.96 × standard error.