Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints
Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints
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DOI：
10.1348/000711001159582
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发表时间：
2001-11-01
影响因子：
2.6
通讯作者：
Raykov, T
中科院分区：
文献类型：
--
作者：
Raykov, T
本文概述了一种基于非线性约束的协方差结构分析的复合可靠度估计方法。为了推动研究的发展，首先简要介绍了研究概况，表明在许多情况下，广泛使用的系数alpha是已经在总体水平上的不满意的量表可靠度指标。作为一种替代方案，所提出的协方差结构分析程序是基于尺度信度系数的理论公式，该公式与给定的一组同属成分的参数有关。通过几个数值算例说明了所描述的方法，并将其性能与系数法进行了比较。
A method of composite reliability estimation using covariance structure analysis with nonlinear constraints is outlined, To motivate the developments, initially a short overview of research is presented, demonstrating that in many cases the widely used coefficient alpha is an unsatisfactory index of scale reliability already at the population level. As an alternative, the proposed covariance structure analysis procedure is based on the theoretical formula of the scale reliability coefficient in terms of parameters pertaining to a given set of congeneric components. The described approach is illustrated with several numerical examples and its performance compared with that of coefficient alpha.