Petersen Isaac T, Choe Daniel Ewon, LeBeau Brandon
University of Iowa.
University of California, Davis.
Dev Rev. 2020 Dec;58. doi: 10.1016/j.dr.2020.100935. Epub 2020 Nov 2.
Many psychological constructs show heterotypic continuity-their behavioral manifestations change with development but their meaning remains the same (e.g., externalizing problems). However, research has paid little attention to how to account for heterotypic continuity. Conceptual and methodological challenges of heterotypic continuity may prevent researchers from examining lengthy developmental spans. Developmental theory requires that measurement accommodate changes in manifestation of constructs. Simulation and empirical work demonstrate that failure to account for heterotypic continuity when collecting or analyzing longitudinal data results in faulty developmental inferences. Accounting for heterotypic continuity may require using different measures across time with approaches that link measures on a comparable scale. Creating a developmental scale (i.e., developmental scaling) is recommended to link measures across time and account for heterotypic continuity, which is crucial in understanding development across the lifespan. The current synthesized review defines heterotypic continuity, describes how to identify it, and presents solutions to account for it. We note challenges of addressing heterotypic continuity, and propose steps in leveraging opportunities it creates to advance empirical study of development.
许多心理构念表现出异型连续性——它们的行为表现随着发展而变化，但含义保持不变（例如，外化问题）。然而，研究很少关注如何解释异型连续性。异型连续性的概念和方法挑战可能会阻碍研究人员考察较长的发展跨度。发展理论要求测量要适应构念表现的变化。模拟和实证研究表明，在收集或分析纵向数据时未能考虑异型连续性会导致错误的发展推断。考虑异型连续性可能需要在不同时间使用不同的测量方法，并采用在可比尺度上关联测量的方法。建议创建一个发展量表（即发展标度）来跨时间关联测量并考虑异型连续性，这对于理解毕生发展至关重要。当前的综合综述定义了异型连续性，描述了如何识别它，并提出了解决它的方法。我们指出了应对异型连续性的挑战，并提出了利用它所创造的机会来推进发展实证研究的步骤。
