Constructing Covariates in Multilevel Regression

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The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies. (2008, methodology): “Mplus provides such a flexible latent variable model that integrates several different analysis models within a unified MLM framework (L. K. Muthén & Muthén, 2007).”
Examining the Intermediate Role of Employee Abilities, Motivation and Opportunities to Participate in the Relationship between HR Bundles and Employee Performance (2018, background): “MSEM partitions the variance of the employee-level variables into two latent variable components (Asparouhov and Muthén, 2006), capturing the within-group variation (differences across employees in the same firm) and the between-group variation (differences across firms).”
Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models (2018, methodology): “This model has been studied extensively in Asparouhov and Muthén (2006a) and Lüdtke et al. (2008) in the context of comparing the latent mean centering and the observed group mean centering methods.”
A Bayesian Approach for Estimating Multilevel Latent Contextual Models (2016, background): “…out in the methodological literature that the observed group mean might not provide a reliable measure of the unobserved true group mean (e.g., Asparouhov & Muthén, 2007; Croon & van Veldhoven, 2007; Grilli & Rampichini, 2011; Lüdtke et al., 2008; Pokropek, 2015; Preacher, Zyphur, & Zhang,…”