This book illustrates the ease with which various
features of LISREL 8 and PRELIS 2 can be implemented in addressing
research questions that lend themselves to SEM. Its purpose is
threefold: (a) to present a nonmathmatical introduction to basic
concepts associated with SEM, (b) to demonstrate basic applications of
SEM using both the DOS and Windows versions of LISREL 8, as well as both
the LISREL and SIMPLIS lexicons, and (c) to highlight particular
features of the LISREL 8 and PRELIS 2 progams that address important
caveats related to SEM analyses.
This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.
This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.
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