采用假体法进行因子分析技术的正交旋转分析

Himayati Himayati, Ni Wayan Switrayni, D. Komalasari, Nurul Fitriyani
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引用次数: 2

摘要

因子分析是一种多元统计方法,它试图通过将一些自变量分组成因子来解释这些自变量之间的关系。通过这种分组,现有的变量将更容易解释。为了提高因子解释的能力,必须进行矩阵加载因子变换。变换可以选择正交旋转法,变差法或四倍法或等倍法。为了找出哪种旋转技术是最合适的,使用了procrustes方法生成的最小平方距离值()。在本研究中,从问卷调查的结果中使用了三个数据,对于这些数据,我获得了最小距离平方与最大旋转的值,为;对于数据II,通过四轴旋转得到最小距离平方的值,为;对于数据III,获得最小距离平方的值,最大旋转为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Rotasi Ortogonal pada Teknik Analisis Faktor Menggunakan Metode Procrustes
Factor analysis is a multivariate statistical method that tries to explain the relationship between a number of independent variables by grouping these variables into factors. With this grouping, the existing variables will be easier to interpret. In increasing the power of factor interpretation, a matrix loading factor transformation must be performed. The transformation can be done by choosing the method that is in orthogonal rotation, the varimax or quartimax or equamax method. In order to find out which rotation techniques is the most appropriate, the minimum square distance values () generated from the procrustes method used. In this study three data were used from the results of the questionnaire, for data I obtain the value of the minimum distance squared with a varimax rotation that is  with ; for data II obtain the value of the minimum distance squared with a quartimax rotation that is  with ; for data III obtain the value of the minimum distance squared with a varimax rotation that is  with .
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