Comparison of Methods for Estimating and Testing Latent Variable Interactions
By B. Moulder, James Algina. 2002
115 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/123a200a5edb7fb39bc1910762b26b2e30be982c
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In Computer Networks and Communications
- Kristopher J Preacher
- Robert J. Vandenberg
- R. Eisenberger
- Herbert W. Marsh
- T. Little
- J. Edwards
- James A. Bovaird
- P. Neves
In Management Science and Operations Research
- Herbert W. Marsh
- Robert J. Vandenberg
- Xitao Fan
- Kristopher J Preacher
- J. Edwards
- Zhonglin Wen
- Stephen A. Sivo
- T. Little
In Organizational Behavior and Human Resource Management
- Florence Stinglhamber
- P. Neves
- R. Eisenberger
- Robert J. Vandenberg
- Lawrence J. Williams
- Thomas E. Becker
- Gökhan Karagonlar
- J. Edwards
Citations in the corpus
- Unconstrained Structural Equation Models of Latent Interactions: Contrasting Residual- and Mean-Centered Approaches (2007, methodology): “Following from Jöreskog and Yang (1996; Jöreskog, 1998), Algina and Moulder (2001; Moulder & Algina, 2002), and Marsh, Wen, and Hau (2004, 2006), one might reasonably expect that a mean structure in the model is also necessary for the residual-centered unconstrained approach introduced by Little et…”
- 12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, methodology): “The various methods for analyzing moderated structural equation models with product indicators have been critically evaluated (Cortina, Chen, & Dunlap, 2001 ; Joreskog, 1998 ; Li et al, 1998 ; Marsh et al, 2004 ; Moulder & Algina, 2002 ; Yang‐Wallentin & Joreskog, 2001 ) and management researc”
- Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited (2005, methodology): “The two-index strategy and the proposed cutoff criteria for fit indexes in model fit assessment have been gaining popularity in SEM applications (e.g., Corten et al., 2002; DiStefano, 2002; Glaser, 2001, 2002; Moulder & Algina, 2002; Pomplun & Omar, 2001).”
- Testing Moderator and Mediator Effects in Counseling Psychology Research. (2004, background): “SEM can be used to examine interactions involving both categorical and continuous variables (for details on how to perform such analyses, see Bollen & Paxton, 1998; Holmbeck, 1997; Jaccard & Wan, 1995, 1996; Kenny & Judd, 1984; Moulder & Algina, 2002; Ping, 1996; Schumacker & Marcoulides, 1998).”
- Leader-member exchange and affective organizational commitment: the contribution of supervisor's organizational embodiment. (2010, methodology): “By taking into account measurement error associ- ated with the predictor variables, SEM provides more accurate estimates than moderated regression of the magnitude of interaction effects (Marsh, Wen, & Hau, 2004; Moulder & Algina, 2002).”
- "Testing moderator and mediator effects in counseling psychology research": Correction to Frazier et al. (2004). (2004, background): “SEM can be used to examine interactions involving both categorical and continuous variables (for details on how to perform such analyses, see Bollen & Paxton, 1998; Holmbeck, 1997; Jaccard & Wan, 1995, 1996; Kenny & Judd, 1984; Moulder & Algina, 2002; Ping, 1996; Schumacker & Marcoulides, 1998).”
- Structural Equation Modeling of Mediation and Moderation With Contextual Factors (2007, methodology): “…(in press), Bollen (1995, 1996, 1998), and Bollen and Paxton (1998) presented a two-stage least squares (2SLS) approach that does not require the nonlinear constraints but has been found to be less effective than other methods (Moulder & Algina, 2002; Schermelleh-Engel, Klein, & Moosbrugger, 1998).”
- The Growth of Structural Equation Modeling: 1994-2001 (2003, background): “Not surprisingly, a recent issue of Structural Equation Modeling had applications and extensions of multilevel modeling (Wendorf, 2002), nonlinear modeling (Moulder & Algina, 2002), and latent growth curve modeling (Wen, Marsh, & Hau, 2002).”
- Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects (2011, methodology): “Simulation studies using the constrained PI approach (eg, Moulder & Algina, 2002 ) have found that common methods of correcting standard errors for nonnormality (eg, Satorra & Bentler, 1994 ) fail to yield improved standard errors.”
- On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables (2006, methodology): “Bollen (1995, 1996) and Bollen and Paxton (1998) presented a two-stage least squares (2SLS) approach that does not require the nonlinear constraints but has been found to be less effective than other methods (Moulder & Algina, 2002; Schermelleh-Engel, Klein, & Moosbrugger, 1998).”
- Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties (2010, unknown): “…1995; Jöreskog & Yang, 1996; Kenny & Judd, 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…”
- Understanding and Using Mediators and Moderators (2008, background): “Moulder and Algina (2002) , Ping (1996), Schermelleh-Engel et al. (1998), Schumacker (2002) and Schumacker and Marcoulides (1998).”