Following a review of empirical studies of nonnormality in SEM, West et al. (1995) summarized four important findings. First, as data become increasingly nonnormal, the χ2 value derived from both ML and GLS estimation becomes ...
... groups based on real (as opposed to simulated) data (see, e.g., Aikin, Stein, & Bentler, 1994; Byrne, 1988b; Cooke, Kosson, & Michie, 2001; Little, 1997; Marsh & Grayson, 1994; Reise, Widaman, & Pugh, 1993; Widaman & Reise, 1997).
This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM).
This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research.
A non-mathematical intro to basic concepts underlying SEM with AMOS applications. An ideal companion to the AMOS manual and any stats book incorporating SEM.
This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM).
This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.