Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties
By Zhonglin Wen, Herbert W. Marsh, K. Hau. 2010
104 citations recorded by the source corpus.
Subfields: Applied Psychology, Experimental and Cognitive Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/c318aab42ad608719b401a7168ee8a149f26a963
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In Applied Psychology
In Experimental and Cognitive Psychology
- Alexandre J. S. Morin
- Herbert W. Marsh
- P. Parker
- K. Hau
- Jiesi Guo
- Zhonglin Wen
- Theresa Dicke
- Augustin Kelava
In Management Science and Operations Research
- Alexandre J. S. Morin
- Herbert W. Marsh
- K. Hau
- Zhonglin Wen
- P. Parker
- Augustin Kelava
- Yan Wu
- Jiesi Guo
Citations in the corpus
- Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects (2011, methodology): “…SEM software for PI models, and a corrected standardization based on the standard deviations of the constructs customer-related stressors, customer orientation, and burnout (analogous to the procedure described in Wen et al., 2010, for the standardization of latent interaction coefficients).”
- Extending expectancy-value theory predictions of achievement and aspirations in science: Dimensional comparison processes and expectancy-by-value interactions (2017, methodology): “In this way, all parameter estimates were estimated in relation to a standardized metric that was common across the four countries, providing appropriate standardized results (see Wen et al., 2010 for more details; also see below for the Mplus syntax).”
- An exploratory study of teachers’ subjective wellbeing: understanding the links between teachers’ income satisfaction, altruism, self-efficacy and work satisfaction (2020, methodology): “The standardised structural regression coefficients, which were calculated according to Wen, Marsh, and Hau (2010), are shown in both Table 3 and Figure 2.”
- A Comparison of Strategies for Forming Product Indicators for Unequal Numbers of Items in Structural Equation Models of Latent Interactions (2013, methodology): “Due to its simplicity, the unconstrained approach has been adopted more often in recent years, in both methodological (e.g., Jackman et al., 2011; Lin et al., 2010; Little, Bovaird, & Widaman, 2006; Wen et al., 2010) and empirical studies (e.”