Math achievement growth from preschool through second grade is best characterized by a latent basis curve rather than linear, exponential, or quadratic functions¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Model fit comparisons indicated changes and between-person differences in math development across eight occasions were best characterized by a latent basis curve. → Sammy F. Ahmed 2022

Evidence¶

Sammy F. Ahmed 2022¶

Sammy F. Ahmed, Janelle J. Montroy, Lori E. Skibbe, Ryan P. Bowles, & Frederick J. Morrison. (2022). The Timing of Executive Function Development is Associated with Growth in Math Achievement from Preschool through Second Grade. Manuscript in-press at Learning and Instruction. https://orcid.org/0000-0003-3814-2955

q3 · i? · associational · r2

Latent growth curve model comparison in Results for the 351-child sample, covarying sex, maternal education, and pre-k language. The latent basis model (AIC = 11978.49, CFI = .95) outperformed linear (Δχ2 (6) = 45.74, p < .001) and exponential (Δχ2 (5) = 41.80, p < .001) models; no effect size printed.

"An evaluation of model fit statistics indicated that changes and between-person differences in children’s math development across eight measurement occasions from preschool through second grade were best characterized by a latent basis curve (χ2 (50) = 88.535, p < .001; AIC = 11978.49; aBIC = 11986.97; CFI = .95; TLI = .95), compared to linear"

Discussion¶

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