Exploratory structural equation modeling (ESEM) differentiates victimization components better than traditional CFA, which positively biases factor correlations¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In prior factor-analytic work, ESEM improved goodness-of-fit and yielded systematically lower correlations among the three victimization components (.43–.52) than CFA (.81–.84). → Herbert W. Marsh 2023

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

q2 · i? · associational · r2

The review attributes to Marsh et al. (2011) that "ESEM improved the goodness-of-fit and also resulted in systematically lower correlations among the three victimization components (correlations of .81 to .84 for CFA, .43 to .52 for ESEM)", supporting discriminant validity of the three components. Both approaches identified the same three components.

"their ESEM improved the goodness-of-fit and also resulted in systematically lower correlations among the three victimization components (correlations of .81 to .84 for CFA, .43 to .52 for ESEM)."

Discussion¶

Related Claims¶

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