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.

中文翻译：

---

禁忌搜索的潜在增长曲线模型选择

本研究报告的目的是介绍一种基于禁忌搜索算法的潜在生长曲线重构方法。该算法使研究人员能够在算法上最佳地确定个人和群体水平上代表潜在增长曲线模型所需多项式的阶数。该过程使用经验数据以及易于使用的计算机实现方式进行了说明。