The variables are described in detail in the supplementary material in Gonzalez et. Three separate and orthogonal latent factors were extracted, overall accounting for ~26% of the variance among the 22 variables.
Code was adapted from publicly available scripts for a GFA analyses with ABCD data (Paulus, et al., 2019).
The 22 variables were subjected to a Group Factor Analysis using the R package ‘GFA’ (Klami, et al., 2015). We grouped the 22 variables into the categories of economic, social, community, adverse childhood experiences, physiological and perinatal well-being. We selected 22 variables thought to be proximal measures of the broader socioeconomic context experienced by children.
These three latent factors were derived with baseline data with the ABCD 2.0.1 release for an N = 8,158 subjects who had complete available data for all of the measures of interest. Latent_factor_ss_perinatal: Latent factor for perinatal health. Latent_factor_ss_social: Latent factor for youth perceived social support. Latent_factor_ss_general_ses: General latent factor of economic, social, and physiological well-being. These scores will be included in the speciality_sum_score instrument with the 3.0 release. Group factor analysis for socioeconomic measures, first released in ABCD 3.0 (derived from ABCD 2.0.1 data).