The choice of longitudinal statistical model can determine whether reciprocal motivation-achievement relations are found¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2021 · checked against its sources 2026-10-24 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i? Ehm et al. (2019) found that a cross-lagged panel model supported reciprocal motivation-achievement relations while other models, such as the random-intercept CLPM, did not. → Vu 2021

Evidence¶

Vu 2021¶

Vu, T., Magis-Weinberg, L., Jansen, B. R. J., van Atteveldt, N., Jansen, T. W. P. J., Lee, N. C., van der Maas, H. L. J., Raijmakers, M. E. J., Sachisthal, M. S. M., & Meeter, M. (2021). Motivation-Achievement Cycles in Learning: a Literature Review and Research Agenda. Educational Psychology Review. https://doi.org/10.1007/s10648-021-09616-7

q2 · i? · review · r2

The review reports, citing Ehm et al. (2019), that model choice changed conclusions: "a cross-lagged panel model (CLPM) supported reciprocal motivation-achievement relations, other models did not". The review attributes the RI-CLPM advantage to Hamaker et al. (2015); the underlying studies' designs are not described here.

"Ehm et al. ( 2019) specifically found that although a cross-lagged panel model (CLPM) supported reciprocal motivation-achievement relations, other models did not — such as the random-intercept CLPM, which Hamaker et al. ( 2015) showed to be more effective than CLPM in explicitly modeling within- and between-individual changes across time."

Discussion¶

Related Claims¶

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