Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects

By Andreas G. Klein, B. Muthén. 2007

257 citations recorded by the source corpus.

Subfields: Applied Psychology, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/afb9c2b539ef1b87653983e81849d53bdd9f468a

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In Applied Psychology

In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties (2010, unknown): “Suppose that ξ 1 and ξ 2 are mean-centered variables so as to have zero means (eg, Algina & Moulder, 2001 ; Jaccard & Wan, 1995 ; Joreskog & Yang, 1996 ; Kenny & Judd, 1984 ; Klein & Muthen, 2007 ; Marsh et al, 2004 ; Moulder & Algina, 2002 ; Ping, 1996a , 1996b ; Schermelleh-Engel, Klei”
12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, methodology): “…latent moderated structural equations (LMS) approach proposed by Klein and Moosbrugger (2000), the quasi-maximum likelihood method (QML) derived by Klein and Muthén (2007), the two-stage method of moments (2SMM) procedure proposed by Wall and Amemiya (2000, 2003), and Bayesian methods developed…”
Accuracy of Parameter Estimates and Confidence Intervals in Moderated Mediation Models (2017, methodology): “Moosbrugger, SchermellehEngel, and Klein (1997) summarized five methodological problems of latent interactions in SEM as follows: (a) the measurement error of indicators, (b) the nonlinearity of the factor loadings of product indicators, (c) the non-zero mean structure of the latent product term, (d”
Structural Equation Modeling of Mediation and Moderation With Contextual Factors (2007, background): “Klein and Moosbrugger (2000) proposed a latent moderated structural model approach (LMS) utilizing finite mixtures of normal distributions which was further refined by Klein and Muth´ en (2002) as a quasimaximum likelihood (QML) approach.”
Integrating Moderation and Mediation (2016, methodology): “…presented the LMS approach, which utilizes maximum likelihood (ML) procedures based on expectation 726 Organizational Research Methods 20(4) maximization (EM) developed specifically to exploit the specific unique distributional properties of the variables in the interaction (Klein & Muthén, 2007).”
Positive psychological capital and emotional labor in Korea: the job demands-resources approach (2016, methodology): “Mplus utilizes the quasi-maximum likelihood approach in computing interaction between latent variables (Klein & Muthén, 2007), an approach which has recently been favorably compared to other methods for estimating latent variable interactions (Marsh, Wen, & Hau, 2004).”
A Semiparametric Approach to Modeling Nonlinear Relations Among Latent Variables (2005, methodology): “In response, several new approaches have been developed that explicitly accommodate the nonnormality implied by the nonlinear effects in the model and that have generally shown superior finite-sample performance to earlier methods, including the ML methods of Klein and Moosbrugger (2000), Klein and”
An exploratory study of teachers’ subjective wellbeing: understanding the links between teachers’ income satisfaction, altruism, self-efficacy and work satisfaction (2020, methodology): “The Latent Moderated Structural Equations (LMS) method was used to test the SEM models (LMS, Klein & Moosbrugger, 2000; Klein & Muthén, 2007).”
On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables (2006, methodology): “The Marsh et al. approach, referred to here as a mean-centered approach, performed well relative to the comparison procedures, which included an evolution of the LMS approach termed the QML approach (Klein & Muthén, 2002).”
Estimating and interpreting latent variable interactions: A tutorial for applying the latent moderated structural equations method (2014, background): “This creates a significant limitation, particularly given that quadratic relations are common among psychological constructs central to developmental science (Klein & Muthén, 2007; Marsh, Wen, & Hau, 2006; Ping, 1996).”
Family Functioning, Self-Concept, and Severity of Adolescent Externalizing Problems (2006, unknown): “Mplus utilizes the quasi-maximum-likelihood approach to computing interactions between latent variables (Klein & Muthén, 2002), which has recently been favorably compared to other methods for calculating latent variable interactions (Marsh, Wen, & Hau, 2004).”