Recommended Sample Size for Conducting Exploratory Factor Analysis on Dichotomous Data

被引：105

作者：

Pearson, Robert H. ^{[1
]}

Mundfrom, Daniel J. ^{[2
]}

机构：

[1] Univ Northern Colorado, Dept Appl Stat & Res Methods, Appl Stat, Greeley, CO 80639 USA

[2] New Mexico State Univ, Dept Econ, Appl Stat, Las Cruces, NM 88003 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2010年 / 9卷 / 02期

关键词：

Exploratory Factor Analysis; dichotomous data; sample size;

D O I：

10.22237/jmasm/1288584240

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Minimum sample sizes are recommended for conducting exploratory factor analysis on dichotomous data. A Monte Carlo simulation was conducted, varying the level of communalities, number of factors, variable-to-factor ratio and dichotomization threshold. Sample sizes were identified based on congruence between rotated population and sample factor loadings.

引用

页码：359 / 368

页数：10

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