Before we review the
lengthier bootstrapping syntax, we will quickly review a predefined
SAS option for estimating the CI of factor loadings when conducting
maximum likelihood (ML) extraction. ML extraction is the only extraction
method that readily provides estimates of standard error that can
then be used to compute traditional CI. These CIs are different from bootstrapped estimates because they are based on standard errors as opposed resampling procedures. As we mentioned in the beginning of this chapter, we often do not have the ingredients to compute traditional CIs and thus bootstrapped CIs have become a useful alternative. Thus, we will discuss this method of computing CIs only briefly ...