R: Complex survey analysis of structural equation models (SEM)
lavaan.survey-package
R Documentation
Complex survey analysis of structural equation models (SEM)
Description
Takes a lavaan fit object and a complex survey design object as input
and returns a structural equation modeling analysis based on the fit
object, where the complex sampling design is taken into account.
The structural equation model parameter estimates and standard errors
are design-based. See Satorra and Muth'en (1995) for details on the
procedure.
Details
Package:
lavaan.survey
Type:
Package
Version:
1.0
Date:
2013-11-06
License:
GPL(>=2)
Author(s)
Author/maintainer: Daniel Oberski <daniel.oberski@gmail.com>
References
Bollen, K, Tueller, S, Oberski, DL (2013). Issues in the Structural Equation
Modeling of Complex Survey Data. In: Proceedings of the 59th World Statistics
Congress 2013 (International Statistical Institute, ed.), Hong Kong.
http://daob.nl/publications/
Oberski, D.L. (2014). lavaan.survey: An R Package for Complex Survey Analysis
of Structural Equation Models. Journal of Statistical Software, 57(1), 1-27.
http://www.jstatsoft.org/v57/i01/.
Oberski, DL and Saris, WE (2012). A model-based procedure to evaluate
the relative effects of different TSE components on structural equation
model parameter estimates. Presentation given at the International
Total Survey Error Workshop in Santpoort, the Netherlands.
http://daob.nl/publications/
Satorra, A, & Bentler, PM (1994). Corrections to test statistics
and standard errors in covariance structure analysis.
Satorra, A, and Muthen, BO (1995). Complex sample data in structural
equation modeling. Sociological methodology, 25, 267-316.