摘要
平行分析是探索性因素分析中用来确定所保留的因子个数的一种方法。探索性因素分析中常用的确定因子个数的方法有特征值大于1准则和碎石图,但这两种方法又各有不足。平行分析则为探索性因素分析中所保留因子个数的确定提供了另一种新思路。本文详细介绍了平行分析的步骤、潜在逻辑以及进行平行分析所用的软件,并通过实例来说明其在探索性因素分析中如何应用。
Parallel analysis is a statistical approach for determining the number of factors to be retained in exploratory factor analysis. The most common criteria for determining the number of factors are Eigenvalue Greater than 1. 0 Rule and the Scree Test. Parallel Analysis provides another new idea for determining the number of factors to be retained in exploratory factor analysis. In this article, the procedure of parallel analysis, logic underlying parallel analysis and computer software for parallel analysis are introduced in detail. This article also presents an example to demonstrate the application of parallel analysis.
出处
《心理科学》
CSSCI
CSCD
北大核心
2007年第4期924-925,918,共3页
Journal of Psychological Science
关键词
平行分析
探索性因素分析
特征值大于1准则
碎石图
parallel analysis, exploratory factor analysis, eigenvalue greater than 1. 0 rule, scree test
