Tests for linkage of multiple cohorts in an accelerated longitudinal design
Tests for linkage of multiple cohorts in an accelerated longitudinal design
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DOI：
10.1037//1082-989x.5.1.44
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发表时间：
2000-03-01
影响因子：
7
通讯作者：
Raudenbush, SW
中科院分区：
文献类型：
--
作者：
Miyazaki, Y;Raudenbush, SW
在加速纵向设计中，一个人对多个年龄队列进行抽样，然后收集每个队列成员的纵向数据。目的是在短期研究中，研究年龄-结果轨迹在大年龄范围内的变化。对有效推断的一个威胁是x年龄队列的相互作用效应。S. W. Raudenbush和W. S. Chan（1993）使用层次模型在两个队列的背景下对这种相互作用进行了测试。本文将此方法扩展到包括任意数量的队列。利用国家青年调查，作者结合了5年来收集的7个队列的数据，以估计2岁至21岁之间反社会态度的变化。他们展示了如何测试轨迹中的队列差异，如何计算测试的能力，以及如何使用图形程序来帮助理解。这种方法允许不平衡的设计和家庭、社区或其他社会单位参与者的聚集。
In accelerated longitudinal design, one samples multiple age cohorts and then collects longitudinal data on members of each cohort. The aim is to study age-outcome trajectories over a broad age span during a study of short duration. A threat to valid inference is the Age x Cohort interaction effect. S. W. Raudenbush and W. S. Chan (1993) developed a test for such interactions in the context of 2 cohorts by using a hierarchical model. The current article extends this approach to include any number of cohorts. Using the National Youth Survey, the authors combine data collected on 7 cohorts over 5 years to approximate change in antisocial attitudes between II and 21 years of age. They show how to test for cohort differences in trajectories, how to calculate the power of the test, and how to use graphical procedures to aid understanding. The approach allows unbalanced designs and the clustering of participants within families, neighborhoods, or other social units.