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Note On a Criterion for the Number of Common Factors

Note On a Criterion for the Number of Common Factors EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT 571-578. 1969, 29, NOTE ON A CRITERION FOR THE NUMBER OF COMMON FACTORS1 LLOYD G. HUMPHREYS AND DANIEL R. ILGEN of Illinois University LINN has of a, Monte Carlo the results (1968) published to the the use of number of factors approach problem involving random in correlational normal deviates as additional variables matrices from which are extracted. Horn principal components has made use of an of (1966) independent component analysis random normal to the of the &dquo;real&dquo; deviates, parallel analysis in order to correct the Kaiser criterion Horn) variables, (see which assumes values of the for population correlations, capitaliza- tion on chance in the This some note sample. briefly presents results obtained from on and more variation another, promising, their procedures. Linn found that his mean to F-ratios square ratios, analogous with data from the latent roots of real variables in the numerator and of random variables in the fluctuated denomination, widely as ratios were formed from successive roots. The lack of indepen- dence from the fact that both the numerator and denomi- arising nator were derived from the same from analysis, though independent sets of the is cause of this Horn’s variables, probable variability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Educational and Psychological Measurement SAGE

Note On a Criterion for the Number of Common Factors

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References (9)

Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
0013-1644
eISSN
1552-3888
DOI
10.1177/001316446902900303
Publisher site
See Article on Publisher Site

Abstract

EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT 571-578. 1969, 29, NOTE ON A CRITERION FOR THE NUMBER OF COMMON FACTORS1 LLOYD G. HUMPHREYS AND DANIEL R. ILGEN of Illinois University LINN has of a, Monte Carlo the results (1968) published to the the use of number of factors approach problem involving random in correlational normal deviates as additional variables matrices from which are extracted. Horn principal components has made use of an of (1966) independent component analysis random normal to the of the &dquo;real&dquo; deviates, parallel analysis in order to correct the Kaiser criterion Horn) variables, (see which assumes values of the for population correlations, capitaliza- tion on chance in the This some note sample. briefly presents results obtained from on and more variation another, promising, their procedures. Linn found that his mean to F-ratios square ratios, analogous with data from the latent roots of real variables in the numerator and of random variables in the fluctuated denomination, widely as ratios were formed from successive roots. The lack of indepen- dence from the fact that both the numerator and denomi- arising nator were derived from the same from analysis, though independent sets of the is cause of this Horn’s variables, probable variability.

Journal

Educational and Psychological Measurement – SAGE

Published: Oct 1, 1969

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