Exploratory Factor Analysis (EFA) Programs in R

被引：29

作者：

Luo, Lan ^{[1
]}

Arizmendi, Cara ^{[1
]}

Gates, Kathleen M. ^{[1
]}

机构：

[1] Univ North Carolina Chapel Hill, 342 Davie Hall, Chapel Hill, NC 27599 USA

来源：

STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL | 2019年 / 26卷 / 05期

关键词：

Exploratory factor analysis; R software; exploratory factor analysis modeling programs in R; NUMBER; COMPONENTS;

D O I：

10.1080/10705511.2019.1615835

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

We provide a brief overview of two R packages that can conduct exploratory factor analysis (EFA): psych and EFAutilities. After introducing EFA and the exemplar data used in this paper we discuss best practices for EFA. Next, we describe the approaches used in the two packages for EFA. During this explanation, we provide sample code and discuss the usage and results of two empirical datasets. Finally, we highlight the similarities and distinctions of each package on modeling EFA.

引用

页码：819 / 826

页数：8

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