A practical introduction to using Mplus for the analysis of multivariate
data, this volume provides step-by-step guidance, complete with real
data examples, numerous screen shots, and output excerpts. The author
shows how to prepare a data set for import in Mplus using SPSS. He
explains how to specify different types of models in Mplus syntax and
address typical caveats--for example, assessing measurement invariance
in longitudinal SEMs. Coverage includes path and factor analytic models
as well as mediational, longitudinal, multilevel, and latent class
models. Specific programming tips and solution strategies are presented
in boxes in each chapter. The companion website
(www.guilford.com/geiser-materials) features data sets, annotated syntax
files, and output for all of the examples. Of special utility to
instructors and students, many of the examples can be run with the free
demo version of Mplus.