In this article, the author proposes a methodology for the validation of sequence analysis typologies on the basis of parametric bootstraps following the framework proposed by Hennig and Lin (2015). The method works by comparing the cluster quality of an observed typology with the quality obtained by clustering similar but nonclustered data. The author proposes several models to test the different structuring aspects of the sequences important in life-course research, namely, sequencing, timing, and duration. This strategy allows identifying the key structural aspects captured by the observed typology. The usefulness of the proposed methodology is illustrated through an analysis of professional and coresidence trajectories in Switzerland. The proposed methodology is available in the WeightedCluster R library.

在本文中，作者提出了一种基于参数引导的序列分析类型验证方法，遵循 Hennig 和 Lin (2015) 提出的框架。该方法的工作原理是将观察到的类型学的聚类质量与通过聚类相似但非聚类数据获得的质量进行比较。作者提出了几种模型来测试生命历程研究中重要的序列的不同结构方面，即顺序、时间和持续时间。该策略允许识别观察到的类型学捕获的关键结构方面。通过对瑞士职业和共同居住轨迹的分析，说明了所提出方法的实用性。所提出的方法可在 WeightedCluster R 库中找到。