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Examining the impact of longitudinal measurement invariance violations on growth models.

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Samonte K. — American Board of Internal Medicine

Willse J. — University of North Carolina at Greensboro

Presented: National Council on Measurement in Education Annual Meeting, April 2016

Abstract: Longitudinal analyses rely on the assumption that scales function invariantly across measurement occasions. Minimal research has been conducted to evaluate the impact longitudinal measurement invariance violations have on latent growth models (LGM). The current study aims to examine the impact varying degrees of longitudinal invariance violations have on LGM parameters.

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