Latent growth curve model selection with Tabu search

Research output: Contribution to journalArticle

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 languageEnglish (US)
JournalInternational Journal of Behavioral Development
DOIs
StateAccepted/In press - 2020
Externally publishedYes

Keywords

  • Latent growth curve model
  • model selection
  • Tabu search

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