THE APPLICATION OF THE MAXIMUM LIKELIHOOD METHOD TO FACTOR ANALYSIS
THE APPLICATION OF THE MAXIMUM LIKELIHOOD METHOD TO FACTOR ANALYSIS
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最大似然法在因子分析中的应用
DOI：
10.1111/j.2044-8295.1943.tb01052.x
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发表时间：
1943
期刊：
影响因子：
--
通讯作者：
D. Lawley
中科院分区：
文献类型：
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作者：
D. Lawley
在以前的论文中，作者提出了一种新的方法来估计一组测试在多个因素中的负荷，给出了这些测试之间的观察到的相关性。这种因子分析方法虽然比目前使用的大多数方法更费力，但也有一定的优势。特别是，在测试的个人数量相当多的情况下，有一种令人满意的方法来确定需要多少因素才能解释所获得的分数。本文旨在说明如何将这种方法应用于实际数据，并解释所需的算术计算。这些数据来自443名男孩在8项智力和表现测试中得分的相互关系。(数据库记录(C)2016 APA，版权所有)
In previous papers the author put forward a new method of estimating the loadings of a set of tests in a number of factors, given the observed correlations between these tests. This method of factor analysis, though somewhat more laborious than most of those in present use, has certain advantages. In particular, where the number of individuals tested is reasonably large, there is a satisfactory method of deciding how many factors are required to account for the scores obtained. This paper is intended to show how this method may be applied to actual data and to explain the arithmetical calculations required. The data are obtained from the intercorrelations of the scores of 443 boys on 8 intelligence and performance tests.(PsycINFO Database Record (c) 2016 APA, all rights reserved)