RI-CLPM random-intercept correlations between grades and emotions (median |r| = 0.46) were stronger than the undecomposed CLPM correlations (median |0.34|)¶

Claim · All claims
Evidence · 1 study · associational r3 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? The RI-CLPM and the earlier CLPM analysis rendered equivalent patterns of cross-lagged effects, but RI-CLPM between-person correlations were stronger than the CLPM undecomposed correlations. → Reinhard Pekrun 2022

Evidence¶

Reinhard Pekrun 2022¶

Reinhard Pekrun, Herbert W. Marsh, Felix Suessenbach, Anne C. Frenzel, Thomas Goetz. (2022). School grades and students' emotions: Longitudinal models of within-person reciprocal effects. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2022.101626

q3 · i? · associational · r3

Comparison of the present RI-CLPM results with the earlier CLPM analysis of the same PALMA dataset. The article prints medians of "|r| = 0.46" for random-intercept correlations versus "|0.34|" for the undecomposed correlations; no standardized effect size for the difference is printed.

"The average (median) of the RI-CLPM correlations between random intercepts was |r| = 0.46 (Table 3). The average (median) of the undecomposed correlations was |0.34| (Pekrun et al., 2017, Table 1)."

Discussion¶

Related Claims¶

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• 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
• Across basic and extended RI-CLPMs and CLPMs of five-wave secondary-school data, math self-concept and achievement show consistent reciprocal (bidirectional) directional ordering — related
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• The choice of longitudinal statistical model can determine whether reciprocal motivation-achievement relations are found — related
• RI-CLPM on simulated PALMA-like data shows positive reciprocal cross-lagged effects between within-individual math achievement and self-concept — related