The multi-rater growth model shows promise relative to cruder approaches like estimating growth from a single rater¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2024: tool and model accuracy changes quickly

Subclaims¶

q2 i? The model shows promise for use with longitudinal multi-rater data, having been examined relative to cruder approaches such as single-rater growth estimation. → James Soland 2021

Evidence¶

James Soland 2021¶

James Soland, Megan Kuhfeld. (2021). A multi-rater latent growth curve model. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2021.1925076

q2 · i? · design · r2

The abstract states the model's performance was examined "relative to more crude approaches like estimating growth based on a single rater" and concludes it "shows promise for use by researchers." No comparative statistics are printed in the available text.

"and relative to more crude approaches like estimating growth based on a single rater. Our results indicate that the model we propose performs quite well along these dimensions, and shows promise for use by researchers"

Discussion¶

Related Claims¶

• Few models exist for estimating growth in the presence of multiple raters despite growing multi-rater longitudinal data — related
• Multidimensional IRT scores that account for latent variable covariances over time produce better recovery of growth parameters in longitudinal growth models than sum scores and other IRT approaches — related
• Longitudinal survey growth is typically measured with sum scores or IRT scale scores from a consistent item set administered across multiple school years — related
• Little of the existing IRT scaling and linking expertise from large-scale educational assessment is applied to scaling psychological and social-emotional survey constructs — related