Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction.

By Herbert W. Marsh, Zhonglin Wen, K. Hau. Psychological methods, 2004

1,150 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7e9e3e1735e461a16e6bc6aa7cae4a63e6b9ce69

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In Experimental and Cognitive Psychology

In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

The service quality-satisfaction link revisited: exploring asymmetries and dynamics (2010, methodology): “Data pooling A general problem involved in applying nonlinear SEM is the nonnormal distribution of the quadratic term of an indicator even in the case of normally distributed raw data (Marsh et al. 2004).”
Knowledge Internalization and Product Development in Family Firms: When Relational and Affective Factors Matter (2016, methodology): “To test the moderation effect of generation in control, we followed the “mean-centered unconstrained approach for estimating interaction effects” from Marsh, Wen, and Hau (2004) and Marsh et al. (2007).9 Moderation was also tested through an ordinary least squares (OLS) analysis in STATA 12.”
Extending expectancy-value theory predictions of achievement and aspirations in science: Dimensional comparison processes and expectancy-by-value interactions (2017, methodology): “Second, for total group analysis, product indicators for the latent interactions were formed using the match-pair strategy according to Marsh, Hau et al.(2013)’s guiding principles (also see Marsh et al., 2004 for more discuss about the product predictors selection procedure).”
Some Common Myths About Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression (2012, methodology): “If one is testing an MSEM or HLM, we recommend centering according to the recommendations of Cortina et al. (2001) or Marsh et al. (2004) for MSEM and Enders and Tofighi (2007) or Hofmann and Gavin (1998) for HLM.”
The role of ambiguity tolerance in career decision making (2014, methodology): “Following Marsh et al.’s suggestion (2004) we multiplied the ambiguity tolerance indicators by the environmental or self exploration indicators based on the matching of the factor loading rank order to obtain the indicators for the latent interaction terms (i.”
Brand awareness in business markets: When is it related to firm performance? (2010, methodology): “However, an extensive simulation study by Marsh et al. (2004) shows that under a wide variety of conditions, not specifying these constraints will improve the results of model estimation.”
Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation (2012, methodology): “7 We followed recommended guidelines for testing interaction effects in EQS [59]. table 3 details our results.”
Relationship between protean career orientation and work–life balance: A resource perspective (2015, methodology): “…2001; Jaccard & Wan, 1995; Jöreskog & Yang, 1996; Kenny & Judd, 1984; Mathieu, Tannenbaum, & Salas, 1992; Wall & Amemiya 2001), while also eliminating the need for complex linear constraints (Little, Bovaird, & Widaman, 2006; Marsh et al., 2004; Marsh, Wen, Hau, Little, Bovaird, & Widaman, 2007).”
A Nonlinear Structural Equation Mixture Modeling Approach for Nonnormally Distributed Latent Predictor Variables (2014, methodology): “…nonlinear structural equation model on the one hand, which leads to biased results if variables are nonnormally distributed (Kelava & Nagengast, 2012; Marsh et al., 2004), and on the other hand the semiparametric SEMM approach, which cannot answer the question about the size of a nonlinear effect.”
The Roles of Competence Beliefs and Goal Orientations for Change in Intrinsic Motivation. (2012, methodology): “To investigate the second research question, latent interactions were modeled following the guidelines proposed by Marsh, Wen, and Hau (2004).”