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A Simulation Study of Factor Score Indeterminacy

A Simulation Study of Factor Score Indeterminacy Though factor analysis continues to be one of the most frequently used multivariate techniques, its value has been questioned because of the indeterminacy of factor scores. The authors review the literature on factor score indeterminacy and discuss the implications of indeterminacy for research practice. A simulation experiment is used to investigate the effects of characteristics of the factor analytic data set on the accuracy of factor score estimation. Indeterminacy is found to depend critically on the level of communality and to be detected more accurately via image factoring than by principal axis or principal component analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Marketing Research SAGE

A Simulation Study of Factor Score Indeterminacy

Journal of Marketing Research , Volume 23 (2): 8 – May 1, 1986

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References (53)

Publisher
SAGE
Copyright
© 1986 American Marketing Association
ISSN
0022-2437
eISSN
1547-7193
DOI
10.1177/002224378602300203
Publisher site
See Article on Publisher Site

Abstract

Though factor analysis continues to be one of the most frequently used multivariate techniques, its value has been questioned because of the indeterminacy of factor scores. The authors review the literature on factor score indeterminacy and discuss the implications of indeterminacy for research practice. A simulation experiment is used to investigate the effects of characteristics of the factor analytic data set on the accuracy of factor score estimation. Indeterminacy is found to depend critically on the level of communality and to be detected more accurately via image factoring than by principal axis or principal component analysis.

Journal

Journal of Marketing ResearchSAGE

Published: May 1, 1986

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