An introduction to using structural equation models in rehabilitation psychology
An introduction to using structural equation models in rehabilitation psychology
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DOI：
10.1037/a0013039
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发表时间：
2008-08-01
影响因子：
2.7
通讯作者：
Catalano, Denise
中科院分区：
文献类型：
--
作者：
Weston, Rebecca;Gore, Paul A., Jr.;Catalano, Denise
目的：使用康复心理学文献中的示例来概述结构方程模型 (SEM)。设计：为了说明 SEM 的 5 个步骤（模型规范、识别、估计方法、结果解释和模型修改），提供了一个示例，详细说明了确定替代模型是否会带来显着改进以适应观察到的数据。数据来自 274 名脊髓损伤患者的样本。回顾了在准备 SEM 分析数据时常见的问题（例如，缺失数据、非正态性），以及围绕 SEM 某些方面的争论（例如，可接受的样本量）。结论：SEM 可以成为一个强大的程序，可以根据经验表示康复心理学家感兴趣的复杂而复杂的理论模型。
Objective: To provide an overview of structural equation modeling (SEM) using an example drawn from the rehabilitation psychology literature. Design: To illustrate the 5 steps in SEM (model specification, identification, estimation methods, interpretation of results, and model modification), an example is presented, with details on determining whether alternataive models result in a significant improvement to fit to the observed data. Data are from a sample of 274 people with spinal cord injury. Issues commonly encountered in preparing data for SEM analyses (e.g., missing data, nonnormality) are reviewed, as is the debate surrounding some aspects of SEM (e.g., acceptable sample size). Conclusion: SEM can be a powerful procedure for empirically representing complex and sophisticated theoretical models of interest to rehabilitation psychologists.