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Author: Blozis, Shelley A.
Resulting in 1 citation.
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Blozis, Shelley A. Conger, Katherine J. Harring, Jeffrey R. |
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Nonlinear Latent Curve Models for Multivariate Longitudinal Data International Journal of Behavioral Development 31,4 (July 2007): 340–346. Also: http://jbd.sagepub.com/cgi/reprint/31/4/340 Cohort(s): Children of the NLSY79 Publisher: Sage Publications Keyword(s): Behavior Problems Index (BPI); Modeling, Growth Curve/Latent Trajectory Analysis; Peabody Individual Achievement Test (PIAT- Reading) Permission to reprint the abstract has not been received from the publisher. Latent curve models have become a useful approach to analyzing longitudinal data, due in part to their allowance of and emphasis on individual differences in features that describe change. Common applications of latent curve models in developmental studies rely on polynomial functions, such as linear or quadratic functions. Although useful for describing linear forms of change and some that are nonlinear, latent curve models based on polynomial functions are not suitable for describing many developmental processes that change in a nonlinear manner. This article considers nonlinear latent curve models that permit researchers to consider a variety of nonlinear functions to characterize developmental processes. An example is provided that considers simultaneous development of two behaviors. |
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Bibliography Citation
Blozis, Shelley A., Katherine J. Conger and Jeffrey R. Harring. "Nonlinear Latent Curve Models for Multivariate Longitudinal Data ." International Journal of Behavioral Development 31,4 (July 2007): 340–346. A.
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