CONVENTIONAL WISDOM ON MEASUREMENT - A STRUCTURAL EQUATION PERSPECTIVE
CONVENTIONAL WISDOM ON MEASUREMENT - A STRUCTURAL EQUATION PERSPECTIVE
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DOI：
10.1037/0033-2909.110.2.305
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发表时间：
1991-09-01
影响因子：
22.4
通讯作者：
LENNOX, R
中科院分区：
文献类型：
--
作者：
BOLLEN, K;LENNOX, R
严格审查了5个传统的结构测量准则的适用性：（a）结构指标应该是内部一致的有效措施，（B）有项目之间的相关性的最佳幅度，（c）措施的有效性取决于与指定的域抽样的充分性，（d）结构内相关性必须大于结构间相关性，（e）指标的线性组合可以取代潜在变量。一个结构方程的角度来看，没有一个明确的测量模型相关指标的潜在变量和测量误差，这些传统的信念没有资格举行。此外，“因果”指标模型，有时更好地对应于指标的关系，一个结构比经典的测试理论的“效果”指标模型。
The applicability of 5 conventional guidelines for construct measurement is critically examined: (a) Construct indicators should be internally consistent for valid measures, (b) there are optimal magnitudes of correlations between items, (c) the validity of measures depends on the adequacy with which a specified domain is sampled, (d) within-construct correlations must be greater than between-construct correlations, and (e) linear composites of indicators can replace latent variables. A structural equation perspective is used, showing that without an explicit measurement model relating indicators to latent variables and measurement errors, none of these conventional beliefs hold without qualifications. Moreover, a ''causal'' indicator model is presented that sometimes better corresponds to the relation of indicators to a construct than does the classical test theory ''effect'' indicator model.