A Method for Comparing Completely Standardized Solutions in Multiple Groups
By Tenko Raykov, George A. Marcoulides. 2000
101 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ab22aa918f073d80f05a5f345557a94f6856a7db
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Michael T. Stephenson
- R. Lance Holbert
- Kristopher J Preacher
- Scott E. Caplan
- Andrew F. Hayes
- Arnold B. Bakker
- D. McCoach
- Ken Kelley
In Statistics and Probability
- Michael T. Stephenson
- R. Lance Holbert
- Kristopher J Preacher
- Scott E. Caplan
- Andrew F. Hayes
- Nicholas J. Rockwood
- Arnold B. Bakker
- Jennifer S. Mueller
Citations in the corpus
- Theory and measurement of generalized problematic Internet use: A two-step approach (2010, background): “Indeed, as Raykov and Marcoulides (2000) explain, ‘‘if an indirect effect does not receive proper attention, the relationship between two variables of interest may not be fully considered” (p.”
- Testing Complex Correlational Hypotheses With Structural Equation Models (2006, methodology): “Most SEM software applications erroneously treat correlations as if they are distributed as covariances (Cudeck, 1989; Raykov & Marcoulides, 2000).”
- The Importance of Indirect Effects in Media Effects Research: Testing for Mediation in Structural Equation Modeling (2003, background): “This state of affairs is worrisome given that, “if an indirect effect does not receive proper attention, the relationship between two variables of interest may not be fully considered” (Raykov & Marcoulides, 2000, p. 7).”
- Structural Equation Modeling in the Communication Sciences, 1995–2000 (2002, methodology): “SEM users may select from several methods of estimation, including maximum likelihood (ML), unweighted least squares, generalized least squares, or asymptotic distribution free estimators (Jöreskog & Sörbom, 1996; Loehlin, 1998; Raykov & Marcoulides, 2000).”