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Identifying Aberrant Data in Structural Equation Models With IRLS-ADF
- Source :
- Structural Equation Modeling: A Multidisciplinary Journal. 25:343-358
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
Abstract
- In structural equation models, outliers could result in inaccurate parameter estimates and misleading fit statistics when using traditional methods. To robustly estimate structural equation models,...
- Subjects :
- Sociology and Political Science
05 social sciences
050401 social sciences methods
General Decision Sciences
01 natural sciences
Structural equation modeling
Iteratively reweighted least squares
010104 statistics & probability
0504 sociology
Modeling and Simulation
Outlier
Applied mathematics
0101 mathematics
General Economics, Econometrics and Finance
Mathematics
Subjects
Details
- ISSN :
- 15328007 and 10705511
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Structural Equation Modeling: A Multidisciplinary Journal
- Accession number :
- edsair.doi...........0cc3d2c9982e607ad791580e59d5a1ef
- Full Text :
- https://doi.org/10.1080/10705511.2017.1379881