Approximating Confidence Intervals for Factor Loadings
- 1 July 1991
- journal article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 26 (3) , 421-434
- https://doi.org/10.1207/s15327906mbr2603_3
Abstract
Practical theoretic means for assessing the sampling variability of loadings estimated by exploratory factor analytic procedures have not been readily available in the absence of restrictive distributional assumptions. It has been necessary for researchers to interpret these point estimates (loadings) through the use of arbitrary rules-of-thumb. Under these conditions, loading interpretations may be problematic. A method is presented for exploiting information in the empirical data, collected for a study's primary goals, to approximate confidence intervals for factor loadings, The method appears generalizable across factor methods, numbers of extracted factors, and rotation criteria.Keywords
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