This article uses the example of voter turnout in US presidential elections to compare two new methods for age, period, and cohort (APC) analysis: the APC interaction model and the APC bounding analysis. While discussing the formal, conceptual, and interpretive differences between the two methods, the analysis demonstrates how both methods can be used to generate distinct but complementary findings. Because the two methods take alternative positions on the appropriate cohort-effect estimands, the comparison underscores the importance of well-grounded conceptual foundations in APC analysis.

中文翻译：

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具有边界和交互作用的年龄、时期和队列分析


本文以美国总统选举中的选民投票率为例，比较两种新的年龄、时期和群组 (APC) 分析方法：APC 交互模型和 APC 边界分析。在讨论两种方法之间的形式、概念和解释差异时，分析演示了如何使用这两种方法来生成不同但互补的发现。由于这两种方法在适当的队列效应估计值上采取不同的立场，因此比较强调了 APC 分析中坚实的概念基础的重要性。