Posted by
Mbaye Fall Diallo on
Feb 20, 2011; 4:27pm
URL: http://spssx-discussion.165.s1.nabble.com/What-communalities-and-matrice-to-report-tp3390180p3393240.html
Hi Art,
These are some quotations for :
- ESEM :
"The ... ESEM approach has the full generality of regular SEM. From an EFA perspective, this implies that EFA can be performed while allowing correlated residuals, covariates including direct effects on the factor indicators, longitudinal EFA with across-time invariance testing, and multiple-group EFA with across-group invariance testing. Several factor loading rotation methods are available, including Geomin and Target rotation. (Asparouhov and Muthen, 2009, p.429).
"The main advantage of the ESEM model over existing modeling practices is that it seamlessly
incorporates the EFA and SEM models. In most applications with multiple factors the EFA is used to discover and formulate factors. Usually the EFA is followed by an ad-hoc
procedure that mimics the EFA factor definitions in an SEM model with a CFA measurement specification. The ESEM model accomplishes this task in a one-step approach and thus it is a simpler approach. In addition, the ESEM approach is more accurate because it avoids potential pitfalls due to the challenging EFA to CFA conversion. For example, an EFA-based CFA model may lead to poor fit when covariates are added to the model. The ESEM approach avoids this problem by estimating the measurement and structural model parts simultaneously." (Asparouhov and Muthen, 2009, 430).
- Oblique rotation :
"In general, if the researcher does not know how the factors are related to each other, there is no reason to assume that they are completely independent. It is almost
always safer to assume that there is not perfect independence, and to use oblique rotation instead of orthogonal rotation.8 Moreover, if optimal simple structure is exhibited by orthogonal factors, an obliquely rotated factor solution will resemble an orthogonal one anyway (Floyd&Widaman, 1995), so nothing is lost by using oblique rotation. Oblique rotation offers the further advantage of allowing estimation of factor correlations, which is surely a more informative approach than assuming that the factors are completely independent." (Preacher and MacCallum, 2003, p.26).
NB : I sent you the articles I posted in your personal e-mail. Thanks for your feedback.
Best,
Mbaye.