Discovering unobserved heterogeneity in structural equation models to avert validity threats
Year of publication: |
2013
|
---|---|
Authors: | Becker, Jan-Michael ; Rai, Arun ; Ringle, Christian M. ; Völckner, Franziska |
Published in: |
Management information systems : mis quarterly. - Minneapolis, MN : Carlson School of Management, University of Minnesota, ISSN 0276-7783, ZDB-ID 405089-7. - Vol. 37.2013, 3, p. 665-694
|
Subject: | Unobserved heterogeneity | validity | structural equation modeling | partial least squares | formative measures | prediction-oriented segmentation | Strukturgleichungsmodell | Structural equation model | Kleinste-Quadrate-Methode | Least squares method | Partielle kleinste Quadrate | Partial least squares | Theorie | Theory |
-
Identifying and treating unobserved heterogeneity with FIMIX-PLS part II : a case study
Matthews, Lucy M., (2016)
-
A rejoinder to Rigdon et al. (2014)
Aguirre-Urreta, Miguel I., (2014)
-
A critical examination of common beliefs about partial least squares path modeling
Rönkkö, Mikko, (2013)
- More ...
-
Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats
Becker, Jan-Michael, (2013)
-
Becker, Jan-Michael, (2013)
-
How Collinearity Affects Mixture Regression Results
Becker, Jan-Michael, (2014)
- More ...