RELIABILITY COEFFICIENT FOR MAXIMUM LIKELIHOOD FACTOR-ANALYSIS
RELIABILITY COEFFICIENT FOR MAXIMUM LIKELIHOOD FACTOR-ANALYSIS
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DOI：
10.1007/bf02291170
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发表时间：
1973-01-01
期刊：
影响因子：
3
通讯作者：
LEWIS, C
中科院分区：
文献类型：
--
作者：
TUCKER, LR;LEWIS, C
最大似然因子分析提供了一种有效的因子矩阵估计方法和一个有用的检验统计量的似然比拒绝过于简单的因子模型。通过最大似然因子分析，提出了一个可靠性系数来表示电池中属性之间相互关系的表示质量。通常，对于大量的个体或对象样本，似然比统计量可能表明，一个可接受的因子模型并不能准确地表示总体属性之间的相互关系。在这种情况下，可靠性系数可以指示非常接近的代表性，并且可以更好地指示是否接受或拒绝因子解决方案。
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis. Usually, for a large sample of individuals or objects, the likelihood ratio statistic could indicate that an otherwise acceptable factor model does not exactly represent the interrelations among the attributes for a population. The reliability coefficient could indicate a very close representation in this case and be a better indication as to whether to accept or reject the factor solution.