LATENT CURVE ANALYSIS
LATENT CURVE ANALYSIS
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DOI：
10.1007/bf02294746
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发表时间：
1990-03-01
期刊：
影响因子：
3
通讯作者：
TISAK, J
中科院分区：
文献类型：
--
作者：
MEREDITH, W;TISAK, J
作为一种代表发展的方法，潜在特质理论提出了一个统计模型，包含个人参数和结构上的第一和第二时刻的随机变量反映增长。最大似然参数估计和相关的渐近检验直接遵循。这些程序可被视为标准重复测量ANOVA和一阶自回归方法的替代方法。如所制定的，该模型包括队列顺序设计，并允许期间或实践效果。一个数值说明使用最初收集的数据Nesselroade和Baltes。
As a method for representing development, latent trait theory is presented in terms of a statistical model containing individual parameters and a structure on both the first and second moments of the random variables reflecting growth. Maximum likelihood parameter estimates and associated asymptotic tests follow directly. These procedures may be viewed as an alternative to standard repeated measures ANOVA and to first-order auto-regressive methods. As formulated, the model encompasses cohort sequential designs and allow for period or practice effects. A numerical illustration using data initially collected by Nesselroade and Baltes is presented.