The issue of statistical power for overall model fit in evaluating structural equation models
Statistical power is an important concept for psychological research. However, examining the power of a structural equation model (SEM) is rare in practice. This article provides an accessible review of the concept of statistical power for the Root Mean Square Error of Approximation (RMSEA) index of...
Main Authors: | Richard HERMIDA, Joseph N. LUCHMAN, Vias NICOLAIDES, Cristina WILCOX |
---|---|
Format: | Article |
Language: | English |
Published: |
"Nicolae Titulescu" University of Bucharest
2015-06-01
|
Series: | Computational Methods in Social Sciences |
Subjects: | |
Online Access: | http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_III_issue_1/CMSS_vol_III_issue_1_art.003.pdf |
Similar Items
-
The problem of allowing correlated errors in structural equation modeling: concerns and considerations
by: Richard HERMIDA
Published: (2015-06-01) -
Basic concepts of probability and statistics /
by: 228653 Hodges, Joseph Lawson, et al.
Published: (1970) -
Discovering structural equation modeling using Stata /
by: Acock, Alan C.
Published: (2013) -
Statistical power: An historical introduction
by: Jean Descôteaux
Published: (2007-09-01) -
Generalized diffusion equation with nonlocality of space-time. Memory function modelling
by: P.P. Kostrobij, et al.
Published: (2020-05-01)