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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.

The use of price in subjective product quality evaluations is influenced by the nature and availability of other product information. Empirical investigation of this proposition indicated that the utilization of price as a quality cue diminished in relation to the quantity and quality of intrinsic attribute information. However, for one of the two products investigated this diminished influence reversed when a large amount of information was provided. © 1996 John Wiley & Sons, Inc.