探索性双因素分析。
Exploratory Bi-factor Analysis.
机构信息
University of California at Los Angeles.
出版信息
Psychometrika. 2011 Oct;76(4):537-49. doi: 10.1007/s11336-011-9218-4.
Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this paper is to introduce an exploratory form of bi-factor analysis. An advantage of using exploratory bi-factor analysis is that one need not provide a specific bi-factor model a priori. The result of an exploratory bi-factor analysis, however, can be used as an aid in defining a specific bi-factor model. Our exploratory bi-factor analysis is simply exploratory factor analysis using a bi-factor rotation criterion. This is a criterion designed to produce perfect cluster structure in all but the first column of a rotated loading matrix. Examples are given to show how exploratory bi-factor analysis can be used with ideal and real data. The relation of exploratory bi-factor analysis to the Schmid-Leiman method is discussed.
双因素分析是一种确认性因素分析的形式，最初由 Holzinger 引入。双因素模型有一个总因素和多个组因素。本文的目的是介绍一种探索性的双因素分析形式。使用探索性双因素分析的一个优点是，无需事先提供特定的双因素模型。然而，探索性双因素分析的结果可以作为定义特定双因素模型的辅助。我们的探索性双因素分析只是使用双因素旋转标准的探索性因素分析。这是一种标准，旨在除旋转载荷矩阵的第一列外，在所有列中产生完美的聚类结构。示例用于说明如何使用理想和实际数据进行探索性双因素分析。讨论了探索性双因素分析与 Schmid-Leiman 方法的关系。
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