A GENERAL APPROACH TO CONFIRMATORY MAXIMUM LIKELIHOOD FACTOR ANALYSIS
A GENERAL APPROACH TO CONFIRMATORY MAXIMUM LIKELIHOOD FACTOR ANALYSIS
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DOI：
10.1007/bf02289343
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发表时间：
1969-01-01
期刊：
影响因子：
3
通讯作者：
JORESKOG, KG
中科院分区：
文献类型：
--
作者：
JORESKOG, KG
描述了一个通用程序，通过该程序，因子分析模型的任意数量的参数可以固定在任意值，其余的自由参数由最大似然法估计。通过适当地选择固定参数，因子可以被定义为具有期望的属性，并且使得后续旋转不必要。采用基于似然比技术的大样本CHI 2检验，对固定参数假设下的最大似然解的拟合优度进行了检验。学生是145名7年级和8年级的学生。从估计参数的方差-协方差矩阵的估计，可以获得参数的近似置信区间。几个例子说明了该程序的有用性。(22参考文献）（PsycInfo数据库记录（c）2016阿帕，保留所有权利）
Describes a general procedure by which any number of parameters of the factor analytic model can be held fixed at any values and the remaining free parameters estimated by the maximum likelihood method. By choosing the fixed parameters appropriately, factors can be defined to have desired properties and make subsequent rotation unnecessary. The goodness of fit of the maximum likelihood solution under the hypothesis represented by the fixed parameters is tested by a large sample CHI2 test based on the likelihood ratio technique. Ss were 145 7th and 8th graders. From an estimate of the variance-covariance matrix of the estimated parameters, approximate confidence intervals for the parameters can be obtained. Several examples illustrating the usefulness of the procedure are given.(22 ref.)(PsycINFO Database Record (c) 2016 APA, all rights reserved)