Generalized Appended Product Indicator Procedure for Nonlinear Structural Equation Analysis

By Melanie M. Wall, Yasuo Amemiya. 2001

99 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2d92aa61f0419781f21784a00b018a97af14261d

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Citations in the corpus

Relationship between protean career orientation and work–life balance: A resource perspective (2015, unknown): “…than all other methods (Algina & Moulder, 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,…”
Structural equation modeling: strengths, limitations, and misconceptions. (2005, methodology): “In fact, a number of SEM procedures have been suggested for modeling interactions (e.g., Algina & Moulder 2001; Bollen & Paxton 1998; Jaccard & Wan 1995; Jöreskog 2000; Jöreskog & Yang 1996; Kenny & Judd 1984; Klein & Moosbrugger 2000; Lee et al. 2004; Ping 1996; Wall & Amemiya 2000, 2001).”
Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties (2010, methodology): “…1984; Klein & Moosbrugger, 2000; Lee, Song, & Poon, 2004; Marsh, Wen, & Hau, 2004; Marsh et al., 2007; Moulder & Algina, 2002; Ping, 1996a, 1996b; Wall & Amemiya, 2001) y D ’ C ”1Ÿ1 C ”2Ÿ2 C ”3Ÿ1Ÿ2 C — or ˜ D ”1Ÿ1 C ”2Ÿ2 C ”3Ÿ1Ÿ2 C — (4) there should exist a similar “standardized” solution, but…”
Structural Equation Modeling of Mediation and Moderation With Contextual Factors (2007, background): “Numerous authors have described techniques to represent latent variable interactions within the context of SEM (see Algina & Moulder, 2001; Jaccard & Wan, 1995; Jöreskog & Yang, 1996; Ping, 1996a, 1996b; Schumacker & Marcoulides, 1998; Wall & Amemiya, 2001).”
Testing for Nonuniform Differential Item Functioning With Multiple Indicator Multiple Cause Models (2011, methodology): “Product indicator methods can be implemented in many structural equation modeling (SEM) programs and have performed well in simulations with continuous indicators (Marsh et al., 2004; Wall & Amemiya, 2001).”
A Comparison of Strategies for Forming Product Indicators for Unequal Numbers of Items in Structural Equation Models of Latent Interactions (2013, methodology): “…many published studies that presented alternative approaches to the use of PIs in estimating latent interactions (e.g., Algina & Moulder, 2001; Coenders, Batista-Foguet, & Saris, 2008; Hayduk, 1987; Jaccard & Wan, 1995; Jöreskog, 1998; Marsh et al., 2004; Ping, 1996; Wall & Amemiya, 2001).”
12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, background): “Wall and Amemiya (2001) derived a generalized appended product indicator (GAPI) model that is similar to the Algina and Moulder (2001) approach but makes no distributional assumptions concerning the variables in the model, which in turn lessens the need for some of the nonlinear constraints.”
Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects (2011, methodology): “This PI approach has received subsequent development, particularly as reflected in contributions by Joreskog and Yang (1996) , Algina and Moulder (2001) , Wall and Amemiya (2001) , and Marsh, Wen, and Hau (2004).”
Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects (2007, methodology): “…estimation techniques: the latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000), the unconstrained approach (Marsh et al., 2004), the constrained approach (Marsh et al., 2004), and the generalized appended product indicator (GAPI) approach (Wall & Amemiya, 2001).”
On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables (2006, methodology): “Most approaches are based on the Kenny and Judd (1984) product indicator model and requirecomplexnonlinearconstraints (see,e.g.,Algina&Moulder,2001;Jaccard& Wan, 1995; Jöreskog & Yang, 1996; Schumacker & Marcoulides, 1998; Wall & Amemiya, 2001).”