A three-component (tripartite) model of victimization shows superior explanatory power to unidimensional and two-component models in cross-national PISA2018 data¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2–r3·q3
Currency · newest study 2023 · 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? Across 77 countries, the three-component model outperformed competing one- and two-component victimization models in goodness-of-fit, component differentiation, and discriminant validity. → Herbert W. Marsh 2023
q3 i? The test used nationally representative samples of 594,196 fifteen-year-old students from 77 countries. → Herbert W. Marsh 2023 (2)
Evidence¶
Herbert W. Marsh 2023¶
Herbert W. Marsh, Jiesi Guo, Philip D. Parker, Reinhard Pekrun, Geetanjali Basarkod, Theresa Dicke, et al. (2023). Peer Victimization: an Integrative Review and Cross-National Test of a Tripartite Model. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09765-x
q3 · i? · associational · r3
The authors' own substantive-methodological synergy analysis compared five structural models (one-, two-, and three-component CFA and ESEM) in PISA2018 data and reports "the superior explanatory power of the three-component model" across fit, differentiation, and discriminant validity with gender, attitudes, and well-being. No effect size is printed for the model comparison.
"We demonstrate the superior explanatory power of the three-component model—goodness-of-fit, component differentiation, and discriminant validity of the three components concerning gender differences, paradoxical anti-bullying attitudes"
Herbert W. Marsh 2023 (2)¶
Herbert W. Marsh, Jiesi Guo, Philip D. Parker, Reinhard Pekrun, Geetanjali Basarkod, Theresa Dicke, et al. (2023). Peer Victimization: an Integrative Review and Cross-National Test of a Tripartite Model. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09765-x
q3 · i? · associational · r2
Methods section: the empirical test drew on "nationally representative samples from 77 countries (594,196 fifteen-year-old students)", a two-stage sampling design with survey weights; three countries lacking victimization data were excluded.
"The PISA2018 data are based on nationally representative samples from 77 countries (594,196 fifteen-year-old students)."
Discussion¶
Related Claims¶
- Exploratory structural equation modeling (ESEM) differentiates victimization components better than traditional CFA, which positively biases factor correlations — related
- Gender differences in victimization vary systematically across the physical, verbal, and relational components — related
- Well-being is more strongly related to verbal and particularly relational victimization than to physical victimization — related
- The Pro-Bully Paradox: victimization relates to weaker anti-bullying attitudes, an effect largely specific to physical victimization — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
tripartite-model-superior-fit-pisa2018 |
title |
A three-component (tripartite) model of victimization shows superior explanatory power to unidimensional and two-component models in cross-national PISA2018 data |
description |
A three-component (tripartite) model of victimization shows superior explanatory power to unidimensional and two-component models in cross-national PISA2018 data |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-21 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — herbert-w-marsh-2023, herbert-w-marsh-2023-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.