A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models

By Asim Ansari, Kamel Jedidi, Sharan Jagpal. 2000

104 citations recorded by the source corpus.

Subfields: Food Science, Organizational Behavior and Human Resource Management, Tourism, Leisure and Hospitality Management

View Paper: https://www.semanticscholar.org/paper/ed1e522d2e542d5435524386a2c6a6eb0b79ee60

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Christian M. Ringle
2. Marko Sarstedt
3. Joseph F. Hair
4. Jun-Hwa (Jacky) Cheah
5. Jörg Henseler
6. Siegfried P. Gudergan
7. D. Yan
8. Huey-Kuo Chen

In Organizational Behavior and Human Resource Management

1. Christian M. Ringle
2. Andreas Herrmann
3. J. Grace
4. Marko Sarstedt
5. Joseph F. Hair
6. Jun-Hwa (Jacky) Cheah
7. Jörg Henseler
8. Siegfried P. Gudergan

In Tourism, Leisure and Hospitality Management

1. J. Grace

Citations in the corpus

• Guidelines for a graph-theoretic implementation of structural equation modeling (2012, methodology): “Application of Bayesian methods to SEM is now seeing increased use (Ansari et al. 2000, Rupp et al. 2004, Dunson et al. 2005, Arhonditsis et al. 2006, Lee 2007, Grace et al. 2011, Gimenez et al. 2012).”
• A general multilevel SEM framework for assessing multilevel mediation. (2010, unknown): “More general methods include those of Ansari and colleagues (Ansari et al., 2000, 2002; Jedidi & Ansari, 2001), Rabe-Hesketh et al. (2004), and Muthe´n and Asparouhov (2008).”
• Capturing Customer Heterogeneity using a Finite Mixture PLS Approach (2002, result): “In contrast to the existing approaches of Jedidi et al. (1997a, 1997b, and 1996) and Ansari et al. (2000) our approach is more management oriented as we can consider either formative and reflective measures in our model.”