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• W3048652485 abstract "Piecewise latent growth models (LGMs) for linear-linear processes have been well-documented and studied in recent years. However, in the latent growth modeling literature, advancements to other functional forms as well as to multiple changepoints or knots have been nearly non-existent. This manuscript deals with three extensions. The first is to a piecewise latent growth model incorporating higher-order polynomials. The second is to extend the basic framework to three phases. The last extension is to inherently nonlinear functions. In these extensions, the changepoint(s) is a parameter to be estimated and may be fixed or allowed to vary across subjects as an application warrants. The approaches are developed and two illustrative empirical examples from psychology are used to highlight the methodological nuances. Annotated statistical software is provided to make these elaborations accessible to practitioners and methodologists." @default.
• W3048652485 created "2020-08-18" @default.
• W3048652485 creator A5030146059 @default.
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• W3048652485 date "2020-08-10" @default.
• W3048652485 modified "2023-10-15" @default.
• W3048652485 title "Piecewise latent growth models: beyond modeling linear-linear processes" @default.
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• W3048652485 doi "https://doi.org/10.3758/s13428-020-01420-5" @default.
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