Improving the Interpretability of the Variances of Latent Variables by Uniform and Factor-Specific Standardizations of Loadings
Improving the Interpretability of the Variances of Latent Variables by Uniform and Factor-Specific Standardizations of Loadings
复制标题
通过载荷的统一和特定因子标准化来提高潜在变量方差的可解释性
DOI：
10.1027/1614-2241/a000017
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发表时间：
2010
影响因子：
6.6
通讯作者：
K. Schweizer
中科院分区：
文献类型：
--
作者：
K. Schweizer
在验证性因子分析中，潜在变量的方差作为支持模型评估的统计量呈现。适当的标准化甚至可以提高调查差异的好处。方差集成了有关单个负载的信息，并与错误概率相关联。隐变量方差的估计需要在第一步中估计负荷，并根据第二步的估计用约束替换它们。统一的或特定因素的标准化对于实现差异的可比性是必要的。标准化的有效性在乐观主义研究模型中得到了证明。考虑了三种标准化方式：统一标准化、特定因素标准化和设置一个载荷等于一个的标准化。通过统一标准化，结果普遍有效。如果将某些负载设置为零，则特定因素的标准化…
The variances of latent variables are presented as statistics that support the evaluation of a model in confirmatory factor analysis. Appropriate standardization even improves the benefit of investigating variances. The variances integrate the information concerning the individual loadings and are associated with an error probability. The estimation of the variances of latent variables requires the estimation of the loadings in the first step and their replacement by constraints according to the estimates in the second step. Uniform or factor-specific standardization is necessary for achieving comparability of the variances. The usefulness of standardization is demonstrated in models from optimism research. Three ways of standardization were considered: uniform standardization, factor-specific standardization, and standardization by setting one loading equal to one. Generally valid results were achieved by uniform standardization. If some loadings were set equal to zero, factor-specific standardization ev...
影响因子：
4.6
作者：
MCARDLE, JJ;EPSTEIN, D
通讯作者：
EPSTEIN, D
影响因子：
7.6
作者：
SCHEIER, MF;CARVER, CS;BRIDGES, MW
通讯作者：
BRIDGES, MW