Mirowsky John
1Department of Sociology and Population Research Center, University of Texas, Austin, TX, USA.
J Health Soc Behav. 2013;54(4):407-25. doi: 10.1177/0022146513499022.
Adulthood trajectories of outcomes such as depression and the sense of control measure aspects of the human condition that Americans may view as objects of change. Social science should provide information on that progress, or its absence. Whether these trajectories change their shape, and how and why if they do, is important theoretically too. A range of birth cohorts coexist in time, place, and social relationship. Each cohort, as it goes through adulthood, follows in aggregate a path left by older ones, reshaping that path as it goes. The shapes of the trajectories, and the trends reshaping them, represent two inseparable aspects of the same phenomenon. This report describes methods for mapping aging trajectories and intercohort trends, using linear latent-growth models of relatively brief follow-up data (six years in the examples). The author reviews shared research ideals that led to the model: put theory into modeling, go where the data lead, use what you have, go beyond where you have been, and risk being precisely wrong.
诸如抑郁和掌控感等结果的成年期轨迹衡量了美国人可能视为可改变对象的人类状况的各个方面。社会科学应提供有关这一进展或其缺失的信息。这些轨迹是否会改变其形状,以及如果改变的话如何改变和为何改变,在理论上也很重要。一系列出生队列在时间、地点和社会关系中并存。每个队列在经历成年期时,总体上遵循 older ones 留下的路径,并在前进过程中重塑这条路径。轨迹的形状以及重塑它们的趋势代表了同一现象的两个不可分割的方面。本报告描述了使用相对简短的随访数据(示例中为六年)的线性潜在增长模型来绘制衰老轨迹和队列间趋势的方法。作者回顾了促成该模型的共同研究理念:将理论融入建模,跟随数据指引,利用现有资源,超越已有成果,并敢于精确犯错。