Latent growth curve model selection with Tabu search

Katerina M. Marcoulides

doi:10.1177/0165025420941170

Latent growth curve model selection with Tabu search

Katerina M. Marcoulides

Psychology (Twin Cities)

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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 illustrated using empirical data along with an easy to use computerized implementation.

Original language	English (US)
Pages (from-to)	153-159
Number of pages	7
Journal	International Journal of Behavioral Development
Volume	45
Issue number	2
DOIs	https://doi.org/10.1177/0165025420941170
State	Published - Jul 20 2020

Bibliographical note

Publisher Copyright:
© The Author(s) 2020.

Keywords

Latent growth curve model
Tabu search
model selection

Publisher link

10.1177/0165025420941170

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abstract = "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 illustrated using empirical data along with an easy to use computerized implementation.",

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Latent growth curve model selection with Tabu search

Abstract

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Keywords

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