Positive class-level peer spillover effects on mathematics achievement fail to replicate once measurement error is controlled with doubly latent models¶
Claim · All claims
Evidence · 1 study · associationalr3·q3
Currency · newest study 2023 · checked against its sources 2026-10-21 (automated, 1 of 1 entry) · 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? In a doubly latent multilevel model, the positive class-level compositional effect of average mathematics achievement on subsequent achievement was eliminated and became non-statistically significant for the USA and New Zealand. → Televantou 2023
Evidence¶
Televantou 2023¶
Televantou, I., Marsh, H. W., Xu, K. M., Guo, J., & Dicke, T. (2023). Peer Spillover and Big-Fish-Little-Pond Effects with SIMS80: Revisiting a Historical Database Through the Lens of a Modern Methodological Perspective. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09816-3
q3 · i? · associational · r3
Re-analysis of SIMS80 longitudinal data (13,656 students in the USA, Canada, New Zealand) applying a multilevel latent variable framework. The doubly latent model estimates for the compositional effect were .040 (USA), .119 (Canada), and -.035 (New Zealand), none reaching significance for USA and New Zealand, so the "positive class-level compositional effect" was "eliminated."
"the positive class-level compositional effect of average mathematics achievement detected in study 1 was eliminated. It became non-statistically significant for the two countries involved (USA, New Zealand)."
Discussion¶
Related Claims¶
- The Big-Fish-Little-Pond effect on mathematics self-concept is negative and statistically significant in all three countries under a fully specified doubly latent model — related
- Measurement error bias inflates peer spillover effects while attenuating the BFLPE; controls strengthen the BFLPE and weaken the spillover effect — a broader claim this one bears on
- When compositional effects are constrained equal across countries, the overall peer spillover effect is negative and non-significant while the BFLPE remains negative and significant — possibly the same claim (merge candidate)
- Class-average achievement negatively predicts mathematics self-concept after controlling individual achievement (BFLPE replication in TIMSS 2019) — related
- Class-average achievement shows a small negative indirect effect on subsequent mathematics achievement mediated through mathematics self-concept — related
- Contextual-mean effects show little moderation by individual achievement; apparent positive moderation is illusory when the quadratic term is omitted — related
- Adding a quadratic achievement term leaves the negative contextual-mean effect essentially unchanged — related
- Positive school-average achievement effects on subsequent achievement can be phantom effects that disappear under doubly-latent modeling with covariates — possibly the same claim (merge candidate)
- School-average achievement negatively predicts academic self-concept (BFLPE) and GPA in the comprehensive doubly-latent model — related
- Doubly latent multilevel structural equation models disaggregate disciplinary-problem effects at student versus classroom level — related
- Class mean mathematics achievement composition effects were smaller and less often statistically significant than in the original Flemish study, underscoring the value of conceptual replications — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
peer-spillover-disappears-doubly-latent-models |
title |
Positive class-level peer spillover effects on mathematics achievement fail to replicate once measurement error is controlled with doubly latent models |
description |
Positive class-level peer spillover effects on mathematics achievement fail to replicate once measurement error is controlled with doubly latent models |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
source_checked |
2026-10-21 |
generated |
by process:wiki-ingest on 2026-10-21 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — televantou-2023 |
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