The disaggregation of within-person and between-person effects in longitudinal models of change.
The disaggregation of within-person and between-person effects in longitudinal models of change.
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DOI：
10.1146/annurev.psych.093008.100356
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发表时间：
2011
影响因子：
24.8
通讯作者：
Bauer DJ
中科院分区：
文献类型：
--
作者：
Curran PJ;Bauer DJ
纵向模型在行为科学中变得越来越普遍，其主要优势包括增强的能力、更全面的测量和建立时间优先级。纵向数据提供的一个特别突出的优势是，在对时变协变量的结果进行回归时，能够分解人与人之间和人与人之间的影响。然而，在许多社会科学研究应用中，分解这些影响的能力尚未得到充分利用。造成这种遗漏的两个可能原因是，实质性文献中普遍缺乏对分解效应的讨论，以及需要克服几个遗留的分析挑战，这些挑战限制了在实践中用于分离这些效应的现有定量方法。这篇综述探讨了与随时间分解效应有关的实质性和定量问题，特别强调了多层次模型。回顾了现有的分析方法，提出了解决问题的一般方法，并使用几个人工数据集对现有方法和提出的方法进行了论证。讨论了潜在的局限性和未来研究的方向，并对实践中的效应分类提出了建议。
Longitudinal models are becoming increasingly prevalent in the behavioral sciences, with key advantages including increased power, more comprehensive measurement, and establishment of temporal precedence. One particularly salient strength offered by longitudinal data is the ability to disaggregate between-person and within-person effects in the regression of an outcome on a time-varying covariate. However, the ability to disaggregate these effects has not been fully capitalized upon in many social science research applications. Two likely reasons for this omission are the general lack of discussion of disaggregating effects in the substantive literature and the need to overcome several remaining analytic challenges that limit existing quantitative methods used to isolate these effects in practice. This review explores both substantive and quantitative issues related to the disaggregation of effects over time, with a particular emphasis placed on the multilevel model. Existing analytic methods are reviewed, a general approach to the problem is proposed, and both the existing and proposed methods are demonstrated using several artificial data sets. Potential limitations and directions for future research are discussed, and recommendations for the disaggregation of effects in practice are offered.
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DOI：
10.15288/jsa.1998.59.647
发表时间：
1998-11-01
期刊：
JOURNAL OF STUDIES ON ALCOHOL
影响因子：
--
作者：
Curran, PJ;Muthen, BO;Harford, TC
通讯作者：
Harford, TC
影响因子：
4.6
作者：
Hussong, A. M.;Wirth, R. J.;Zucker, R. A.
通讯作者：
Zucker, R. A.
影响因子：
6.3
作者：
Bollen, KA;Curran, PJ
通讯作者：
Curran, PJ
影响因子：
7
作者：
Biesanz, JC;Deeb-Sossa, N;Curran, PJ
通讯作者：
Curran, PJ
影响因子：
3.3
作者：
Curran, PJ;Willoughby, MT
通讯作者：
Willoughby, MT