ANOMALIES IN THE ALLEN AND HUBBARD PARALLEL ANALYSIS PROCEDURE

被引：3

作者：

COTA, AA

LONGMAN, RS

HOLDEN, RR

FEKKEN, GC

机构：

[1] QUEENS UNIV,DEPT PSYCHOL,KINGSTON K7L 3N6,ONTARIO,CANADA

[2] UNIV TORONTO,TORONTO M5S 1A1,ONTARIO,CANADA

来源：

APPLIED PSYCHOLOGICAL MEASUREMENT | 1991年 / 15卷 / 01期

关键词：

EXPLORATORY FACTOR ANALYSIS; FACTOR EXTRACTION; PARALLEL ANALYSIS; PRINCIPAL COMPONENTS ANALYSIS; RULES FOR FACTOR RETENTION;

D O I：

10.1177/014662169101500111

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Allen and Hubbard (1986) increased the accessi bility of parallel analysis for principal components applications by developing an equation to predict mean eigenvalues of random data matrices with unities in the diagonals. Two recent studies have shown, however, that Allen and Hubbard's proce dure may yield degenerate solutions—that is, solu tions in which succeeding eigenvalues are larger than preceding eigenvalues. The parameters of sample size and number of variables within which the Allen and Hubbard equation degenerates are documented. Implications for the use of this procedure are discussed. © 1991, Sage Publications. All rights reserved.

引用

页码：95 / 97

页数：3

共 10 条

[1] REGRESSION EQUATIONS FOR THE LATENT ROOTS OF RANDOM DATA CORRELATION-MATRICES WITH UNITIES ON THE DIAGONAL [J].