Next-generation cross-lagged models relax the convergence assumption in school motivation panel data¶

Claim · All claims
Evidence · 1 study · review r? · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Next-generation cross-lagged models were presented and illustrated using panel data on high school students (N = 944) to address deviations from the convergence assumption. → Fernando Núñez-Regueiro 2021

Evidence¶

Fernando Núñez-Regueiro 2021¶

Fernando Núñez-Regueiro, Jacques Juhel, Pascal Bressoux, Cécile Nurra. (2021). Identifying Reciprocities in School Motivation Research: A Review of Issues and Solutions Associated With Cross-Lagged Effects Models. Journal of Educational Psychology, 114 (5), pp.945-965. https://doi.org/10.1037/edu0000700

q2 · i? · review · r?

The review illustrates the proposed next-generation cross-lagged models with an empirical demonstration on "panel data on high school students (N = 944)", showing how the alternative models handle violations of the convergence assumption in school motivation research.

"To relax this assumption, next-generation cross-lagged models are presented and illustrated using panel data on high school students (N = 944)."

Discussion¶

Related Claims¶

• Deviations from the convergence assumption produce unreliable cross-lagged findings in school motivation research — related
• Random-intercept and lag2 panel models rest on different assumptions and offer alternative perspectives on controlling covariates — related
• Simulation evidence shows RI-CLPM estimates are biased when the true model is a CLPM with lag-2 effects, and fit statistics cannot decide between the two — related
• Adding lag-2 paths to CLPMs substantially improves fit and provides stronger controls for preexisting differences, positioning extended CLPMs as viable alternatives to RI-CLPMs — related