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Estimation and Tests of Significance in Factor Analysis

Rao, C. Radhakrishna·1955·Psychometrika

Abstract

A distinction is drawn between the method of principal components developed by Hotelling and the common factor analysis discussed in psychological literature both from the point of view of stochastic models involved and problems of statistical inference. The appropriate statistical techniques are briefly reviewed in the first case and detailed in the second. A new method of analysis called the canonical factor analysis, explaining the correlations between rather than the variances of the measurements, is developed. This analysis furnishes one out of a number of possible solutions to the maximum likelihood equations of Lawley. It admits an iterative procedure for estimating the factor loadings and also for constructing the likelihood criterion useful in testing a specified hypothesis on the number of factors and in determining a lower confidence limit to the number of factors.

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Metadata

Authors
Rao, C. R.
Venue
Psychometrika
Published
1955-06
Volume
20
Issue
2
Pages
93-111
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2095917182
Cited by
306
References
0
FWCI
13.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimation and Tests of Significance in Factor Analysis. https://app.cochat.ai/papers/10.1007/bf02288983
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Rao, C. R. (1955). Estimation and Tests of Significance in Factor Analysis. Psychometrika. https://doi.org/10.1007/bf02288983

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