Latent class analysis failed to discriminate ACE clusters in the Millennium Cohort Study data¶
Claim · All claims
Evidence · 1 study · associationalr3·q3
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? LCA applied to the eight prospectively reported ACEs produced very low entropy (~0.3-0.4), so no distinct ACE clusters could be identified and cluster-outcome associations could not be analysed. → Leonardo Bevilacqua 2021
Evidence¶
Leonardo Bevilacqua 2021¶
Leonardo Bevilacqua, Yvonne Kelly, Anja Heilmann, Naomi Priest, Rebecca E. Lacey. (2021). Adverse childhood experiences and trajectories of internalizing, externalizing, and prosocial behaviors from childhood to adolescence. Child Abuse & Neglect 112 (2021) 104890. https://doi.org/10.1016/j.chiabu.2020.104890
q3 · i? · associational · r3
Latent class analysis was applied in Mplus to eight ACEs measured at 9 months and 3 years, comparing 2-6 class solutions using AIC, BIC, SSABIC and entropy. The article reports "we were unable to analyse associations for LCA-derived clusters in this study".
"The LCA did not work in this dataset – the entropy level was very low ~0.3 0.4, suggesting that it could not discriminate between different groups of ACEs reporting"
Discussion¶
Related Claims¶
- ACE scores show a graded positive association with externalizing behavior trajectories, the strongest of the three outcomes
- ACE scores show a graded negative association with prosocial behavior trajectories from age 3 to 14
- ACE scores show a graded positive association with internalizing behavior trajectories from age 3 to 14
- Harsh parenting and physical punishment show the strongest individual-ACE associations with externalizing behavior
- ACE-outcome associations did not differ between girls and boys
- Parental discord and parental depression show the strongest individual-ACE associations with internalizing behavior
- Four distinct LLM learner profiles emerge from latent class analysis of learning contexts, tasks, and devices — reports the opposite
- Latent Class Analysis identifies six provisional manager typologies with heterogeneous readiness and barrier profiles — related
- Latent class analysis of 641 higher education students' survey responses identifies four distinct classes of feedback experience — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
lca-failed-discriminate-ace-clusters |
title |
Latent class analysis failed to discriminate ACE clusters in the Millennium Cohort Study data |
description |
Latent class analysis failed to discriminate ACE clusters in the Millennium Cohort Study data |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2021 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — leonardo-bevilacqua-2021 |
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