CORRELATION AND REGRESSION ANALYSISunstandardized partial regression coefficients.
Thus, if the measures used in regression analysis
are relatively crude, lack high reliability, or include
distortions (errors) likely to be correlated with
other variables in the regression equation (or with
measurement errors in those variables), regres-
sion analysis may yield misleading results. In these
circumstances, the prudent investigator should
interpret the results with considerable caution, or,
preferably, shift from regression analysis to the
analysis of structural equation models with multi-
ple indicators. (See Herting 1985; Schumacker
and Lomax 1996.) This alternative mode of analy-
sis is well suited to correct for random measure-
ment error and to help locate and correct for non-
random measurement error.
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