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Marcoulides, Katerina M. – International Journal of Behavioral Development, 2021
The purpose of this research note is to introduce a latent growth curve reconstruction approach based on the Tabu search algorithm. The approach algorithmically enables researchers to optimally determine at both the individual and the group levels the order of the polynomial needed to represent the latent growth curve model. The procedure is…
Descriptors: Growth Models, Computation, Mathematics, Longitudinal Studies
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Ghisletta, Paolo; Mason, Fabio; von Oertzen, Timo; Hertzog, Christopher; Nilsson, Lars-Göran; Lindenberger, Ulman – International Journal of Behavioral Development, 2020
Growth models (GM) of the mixed-effects and latent curve varieties have become popular methodological tools in lifespan research. One of the major advantages of GM is their flexibility in studying individual differences in change. We scrutinized the change functions of GM used in five years of publications on cognitive aging. Of the 162…
Descriptors: Growth Models, Cognitive Development, Cognitive Processes, Aging (Individuals)