Latent variable structural equation modeling in cross-cultural research: Multigroup and multilevel approaches

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Are Individual-Level and Country-Level Value Structures Different? Testing Hofstede’s Legacy With the Schwartz Value Survey (2010, methodology): “Using all 55 values, the level of similarity for Dimension 1 was quite stable in the student data set even when we reduced the number of samples to the recommended minimum (n = 20) for multilevel regression analysis (Selig et al., 2008).”
Testing Factorial Invariance in Multilevel Data: A Monte Carlo Study (2012, background): “The major difference between multiple-group CFA and multilevel SEM is that multilevel SEM assumes measurement invariance, whereas multiple-group CFA tests measurement invariance (Selig et al., 2008).”
Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance (2012, background): “Hox, 2002; Muthén, 1994) is extended to a multilevel SEM (cf. Muthén, 1994; Selig et al., 2008) which allows the explanation of measurement noninvariance by individual and/or contextual variables.”