Heterogeneous factor analysis models: A bayesian approach

By Asim Ansari, Kamel Jedidi, Laurette Dube. 2002

90 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Food Science, Marketing

View Paper: https://www.semanticscholar.org/paper/5f23afc47b008c977e36dfd906c15f0574b2e4bd

How researchers see this paper

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

In Experimental and Cognitive Psychology

1. Xinya Liang
2. Yanyun Yang

In Food Science

1. Xinya Liang
2. Yanyun Yang
3. Sik-Yum Lee

In Marketing

1. Xinya Liang
2. Yanyun Yang

Citations in the corpus

• A general multilevel SEM framework for assessing multilevel mediation. (2010, unknown): “…have overcome the limitations of the two-matrix approach regarding random slopes and have also accommodated missing data and unbalanced clusters (Ansari, Jedidi, & Dube 2002; Ansari, Jedidi, & Jagpal, 2000; Chou et al., 2000; Jedidi & Ansari 2001; Muthe´n & Asparouhov, 2008; Rabe-Hesketh,…”
• An evaluation of WLSMV and Bayesian methods for confirmatory factor analysis with categorical indicators (2014, methodology): “A posterior distribution for the parameter is then formed by updating the prior distribution through the data likelihood (e.g., Ansari and Jedidi, 2000; Ansari et al., 2002; Lee, 2007; Lee and Song, 2004; Scheines et al., 1999).”
• Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data (2006, background): “(ii) As claimed by many important papers on the Bayesian analysis of SEMs ( Ansari, Jedidi, & Dube, 2002; Dunson, 2000; Schines, Hoijtink, & Bromsma, 1999), the sampling-based Bayesian methods do not rely on asymptotic theory and may give reliable statistical inference even with small sample sizes.”