Search Results - subject:"structural equation Models"

Criteria for Stable Unconfoundedness with Descendants

Eherler, Dietrich; Kischka, Peter - Wirtschaftswissenschaftliche Fakultät, … - 2001

For a causal interpretation of an observed association between an ordered pair of variables (X,Y) one has to assure that the association is not generated by a set of other variables T that influence both, X and Y. The term confounding is used to describe the phenomenon when an association is...

Persistent link: https://www.econbiz.de/10005786096

A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models

Ansari, Asim; Jedidi, Kamel; Jagpal, Sharan - In: Marketing Science 19 (2000) 4, pp. 328-347

Structural equation models are widely used in marketing and psychometric literature to model relationships between … Bayesian framework for modeling general forms of heterogeneity in partially recursive structural equation models. Our framework … perform Bayesian inference in partially recursive, random-coefficient structural equation models. These procedures provide …

Persistent link: https://www.econbiz.de/10008788118

Bayesian estimation and testing of structural equation models

Scheines, Richard; Hoijtink, Herbert; Boomsma, Anne - In: Psychometrika 64 (1999) 1, pp. 37-52

Persistent link: https://www.econbiz.de/10005381905

Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity

Jedidi, Kamel; Jagpal, Harsharanjeet S.; DeSarbo, Wayne S. - In: Marketing Science 16 (1997) 1, pp. 39-59

estimating structural equation models, however, researchers frequently treat the data as if they were collected from a single … heterogeneity in structural equation models produces misleading results and that traditional fit statistics are not useful for …

Persistent link: https://www.econbiz.de/10008787508