Spurious effects in random-intercept cross-lagged panel models: Results from simulations and reanalyses of data on self-esteem and problematic eating behaviors used by Beckers et al. (2023).
Sorjonen K; Nilsonne G; Ghaderi A; Melin B · 2026 · PloS one
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
The random-intercept cross-lagged panel model (RI-CLPM) is an extension of the traditional cross-lagged panel model. The RI-CPLM specifically addresses prospective effects within individuals. In the present simulations, we found that the…
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Metadata source: Europe PMC · DOI 10.1371/journal.pone.0351302