Handbook of latent variable and related models

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Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic (2010, background): “…analysis is widely used in behavioural, social and economic studies to analyze structural relations between variables, some of which may be latent (i.e., unobservable, Bollen, 2002); see, e.g., Bollen and Curran (2006), Grace (2006), Lee (2007), Yuan and Bentler (2007), and references therein.”
lavaan: An R Package for Structural Equation Modeling (2012, background): “…collection of tools that can be used to explore, estimate, and understand a wide family of latent variable models, including factor analysis, structural equation, longitudinal, multilevel, latent class, item response, and missing data models (Skrondal and Rabe-Hesketh 2004; Lee 2007; Muth´en 2002).”
Bias in Factor Score Regression and a Simple Solution (2011, methodology): “In this paper, we investigate theoretically why factor score regression estimators are generally biased, and we propose a new method for estimation of paths between latent variables using the estimated latent variables.”