Capturing environmental dimensions of adversity and resources in the context of poverty across infancy through early adolescence: A moderated nonlinear factor model

preprint OA: closed
View at publisher
AI-generated summary by claude@2026-07, 2026-07-14

This study used moderated nonlinear factor analysis to identify three distinct, longitudinally invariant factors of poverty-related adversity and resources—material deprivation, psychosocial threat, and sociocognitive resources—which were independent of family income.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Income, education, and cumulative-risk indices likely obscure meaningful heterogeneity in the mechanisms through which poverty impacts child outcomes. The present study draws from contemporary theory to specify multiple dimensions of poverty-related adversity and resources, with the aim of better capturing these nuances. Using data from the Family Life Project (N=1,292), we leveraged moderated nonlinear factor analysis (MNLFA; Bauer, 2017) to establish group- and longitudinally-invariant environmental measures from infancy to early adolescence. Results indicated three latent factors—material deprivation, psychosocial threat, and sociocognitive resources—were distinct from each other and from family income. Measures exhibited minimal to moderate non-invariance across site, racial group, and development and showed convergent and discriminate relations with age-twelve criterion measures. Implications for ensuring socioculturally-valid measurements of poverty are discussed.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00