An EM algorithm for fitting two-level structural equation models

By Jiajuan Liang, Peter M. Bentler. 2004

71 citations recorded by the source corpus.

Subfields: Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2d6a32cabaa6669deffe7794c146c4d61a314903

How researchers see this paper

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

In Information Systems

1. Ke-Hai Yuan
2. S. West
3. Ehri Ryu
4. Andrew Pickles
5. K. Leung
6. Sophia Rabe-Hesketh
7. Joop J. Hox
8. Cora J. M. Maas

In Management Science and Operations Research

1. Mike W.-L. Cheung
2. Sophia Rabe-Hesketh
3. A. Skrondal
4. Ke-Hai Yuan
5. S. West
6. Ehri Ryu
7. Peter M. Bentler
8. Joop J. Hox

Citations in the corpus

• The effect of estimation method and sample size in multilevel structural equation modeling (2010, methodology): “Full ML estimation in multilevel SEM should lead to more accurate chi-squares and standard errors for unbalanced multilevel data than the pseudobalanced method (cf. Liang and Bentler, 2004).”
• Level-Specific Evaluation of Model Fit in Multilevel Structural Equation Modeling (2009, methodology): “With these assumptions, the ML fitting function for two-level covariance structure analysis can be written as shown in Equation 4 ( Bentler & Liang, 2003 ; Liang & Bentler, 2004 ).”
• Structural equation modeling: strengths, limitations, and misconceptions. (2005, background): “…more general nested data structures (e.g., students nested in classrooms, individuals nested within families) beyond those that fall under the rubric of LGMs (e.g., Bentler & Liang 2002, Curran 2003, du Toit & du Toit 2004, Hox 2002, Liang & Bentler 2004, McDonald & Goldstein 1989, Muthén 1994).”
• Evaluating Multilevel Models in Cross-Cultural Research (2006, methodology): “Second, the factor structure at the individual level of MLSEM is assumed to be equal across cultures, but it is not assessed empirically (see Assumption A1 in Liang & Bentler, 2004, p. 103; B. O. Muthén, 1994).”
• 3. Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models (2007, methodology): “Although alternative procedures for multilevel models are available, estimation techniques are primarily developed for the normal distribution based ML procedure (Lee 1990; Liang and Bentler 2004).”
• Generalized multilevel structural equation modeling (2004, methodology): “An EM algorithm for unbalanced continuous two-level data has recently been implemented in EQS (e.g., Liang & Bentler, 2003 ).”