WHEN IS A CORRELATION MATRIX APPROPRIATE FOR FACTOR-ANALYSIS - DECISION RULES
WHEN IS A CORRELATION MATRIX APPROPRIATE FOR FACTOR-ANALYSIS - DECISION RULES
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DOI：
10.1037/h0036316
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发表时间：
1974-01-01
影响因子：
22.4
通讯作者：
SHIRKEY, EC
中科院分区：
文献类型：
--
作者：
DZIUBAN, CD;SHIRKEY, EC
讨论了3种技术，用于评估相关矩阵的心理测量充分性;（a）计算MS Bartlett的球度检验，（B）检查反图像协方差矩阵的非对角元素，以及（c）计算Kaiser-Meyer-Olkin 1970年的抽样充分性措施。每一个的优点和缺点进行比较，相对于评估的相关矩阵因子分析之前。（PsycINFO数据库记录（c）2016阿帕，保留所有权利）
Discusses 3 techniques for assessing the psychometric adequacy of correlation matrices;(a) computation of MS Bartlett's test of sphericity,(b) inspection of the off-diagonal elements of the anti-image covariance matrix, and (c) computation of the Kaiser-Meyer-Olkin 1970 measure of sampling adequacy. The advantages and disadvantages of each are compared with respect to assessment of correlation matrices prior to factor analysis.(PsycINFO Database Record (c) 2016 APA, all rights reserved)